THE RELATION BETWEEN
MODE OF LEGUME NITROGEN
NUTRITION,
YIELD DETERMINANTS AND N
ASSIMILATION EFFICIENCY
A DISSERTATION SUBMITTED
TO THE GRADUATE DIVISION OF THE
UNIVERSITY OF HAWAII IN
PARTIAL FULFILLMENT OF THE
REQUIREMENTS FOR THE
DEGREE OF
DOCTOR OF PHILOSOPHY
IN
AGRONOMY
AND SOIL SCIENCE
MAY
1995
By
Surya
Roshni Tewari
Dissertation
Committee:
Paul Singleton, Chairperson
Robert Caldwell
James Fownes
Harold Keyser
Francoise M. Robert
Walter Bowen
We certify that we have
read this dissertation and that, in our opinion, it is satisfactory in scope and quality as a dissertation
for the degree of Doctor of Philosophy in Agronomy and Soil Science.
|
To
my parents
Harry
and Kamla Tewari
ACKNOWLEDGEMENTS
I would like to thank the
following people for their help (volunteered or coerced):
Field support:
Kevin Keane, Geoff
Haines, Veronique Lambert, Bruce Linquist, Lionel Amoral, Trisha Scott, Harold
Keyser, Debbie Lordan, Tom Carr, Joe Rourke, Sally Ekdahl, Patty Nakao, Bruce
Martin, Misha Hacin, Dan Turk, Chris, Jim Jackman, Kathy MacGlashan, Heinz
Hoben, Susan Hiraoka, Ade Nikaido and Paul Singleton.
Technical advice:
Paul Singleton, Harold
Keyser, Ken Boote, Robert Caldwell, Padma Somesegaran, Gerrit Hoogenboom,
Walter Bowen, Jim Jones, Daniel Imamura, Richard Ogoshi, Kevin Keane and Geoff
Haines.
Psychological support;
Karen Moore, Lynette
Wageman, Veronique Lambert, Uncle Vido and Aunty Pat, Ray Keenan; my family:
Harry, Kamla, Ved, and Shani; and the Yardies: Uncle Vernon, Aunty Barbara,
Aunty Peggy and Uncle John.
ABSTRACT
Results of the effect of
nitrogen (N) on legume dry matter (DM) and N accumulation are mixed. This study measured whole plant DM and N
accumulation by legumes grown at different levels of soil N. Two field experiments tested whether reducing
N2 fixation by increasing soil mineral N results in: greater DM
accumulation due to increased allocation of DM to leaves; increased N
assimilation due to greater N uptake efficiency; and similarity between three
species of plant response to N. CROPGRO
V3.0 predictions of legume growth under different levels of soil N were also
tested with observed data.
In 1991 soybeans [Glycine
max Merr. (L.) cv. Clark] were grown with 0 (N0), 256 (N1) and 430 (N2)
kg applied N ha-1. Leaf area and weight and N concentration of leaves, stems, and
pods were determined at 10, 22, 30, 39 and 51 days after emergence (DAE). At 22 and 51 DAE root and nodule weight and
root length were also measured. In
1993 soybean, peanut (Arachis hypogaea cv. Pronto) and common
bean (Phaseolus vulgaris cv. Porillo Sintetico) were grown with
either 0 (N0) or 275 (375 for peanut) (N1) kg applied N ha-1. Leaf area and weight and N concentration of
above and below ground components were measured at 10, 23 and 44 DAE. Shoot and seed weight were measured at
harvest maturity.
On average nitrogen
reduced NZ fixation to, approximately 20% of N0 plants. Nitrogen
application resulted in greater grain yield and DM accumulation but harvest
index was unaffected. With N
application there was an average increase in above ground DM and leaf area
index of 23 and 20%, respectively. This
was due primarily to greater allocation of DM to leaves in N1 than N0 during
early vegetative growth. Nitrogen
assimilation was 17% more in N1 than N0 plants due to increased root weight
(17%) and root surface area (27%) and greater N assimilated per unit below
ground in N1 plants compared to N0.
CROPGRO simulations of total N also increased with application of
N. Simulated above ground DM, however,
was either unresponsive or lower with N Application. This indicates a need for further development of CROPGRO’s
simulation of DM accumulation with an increase in available soil N.
TABLE OF CONTENTS
ACKNOWLEDGEMENTS ............................................... 4
ABSTRACT
....................................................... 5
LIST OF TABLES
................................................. 8
LIST OF FIGURES
................................................ 10
CHAPTER
1. DISSERTATION INTRODUCTION
.......................... 11
BACKGROUND
................................... 11
CROPGRO MODEL
................................ 13
LEGUME RESPONSE
TO NITROGEN SOURCE ........... 16
GENETICS, GROWTH
STAGE ANDI ENVIRONMENTAL
INFLUENCES ON CROP NITROGEN AND DRY
MATTER PARTITIONING
.................... 18
ROOT GROWTH
.................................. 22
OBJECTIVES
................................... 23
CHAPTER
2. THE RELATION BETWEEN MODE OF N ASSIMILATION IN
PEANUT, SOYBEAN AND COMMON BEAN TO: I.
YIELD
AND YIELD DETERMINANTS
....................... 25
ABSTRACT
.....................................
25
INTRODUCTION
................................. 26
MATERIALS AND METHODS
........................ 30
RESULTS ...................................... 35
DISCUSSION
................................... 38
CHAPTER
3. THE RELATION BETWEEN MODE OF N ASSIMILATION IN
PEANUT, SOYBEAN
AND COMMON BEAN TO: II.
ROOT
GROWTH, MORPHOLOGY AND N UPTAKE ............... 50
ABSTRACT ..................................... 50
INTRODUCTION
................................. 51
MATERIALS AND METHODS
........................ 54
RESULTS AND
DISCUSSION ....................... 55
CHAPTER
4. TESTING CROPGRO V3.0 SIMULATION OF
LEGUME GROWTH
WITH
DIFFERENT LEVELS OF APPLIED NITROGEN .......... 70
ABSTRACT
.....................................
70
INTRODUCTION
.................................
71
MATERIALS AND
METHODS ........................ 75
RESULTS AND DISCUSSION ....................... 76
CHAPTER 5. SUMMARY AND CONCLUSIONS
............................ 94
APPENDIX
....................................................... 99
REFERENCES
..................................................... 119
LIST OF TABLES
Table Page
2.1 The effect of nitrogen application on
proportion
of nitrogen derived from the atmosphere
(%Ndfa) by
three legumes grown in Maui, Hawaii in 1993 ................ 43
2.2
The effect of nitrogen application on
the proportion
of nitrogen derived from the atmosphere
(%Ndfa),
seed yield, seed harvest index (HI) and seed
nitrogen harvest index (NHI) of three legumes
grown
in Maui, Hawaii in 1993
.....................................
44
2.3 The effect of nitrogen application and time
on
above ground dry matter accumulation of three
legumes
grown in Maui,
Hawaii .......................................
45
2.4
The effect of nitrogen application and
time on leaf
nitrogen and leaf area index (LAI, m2
m-2)m of three legumes
grown in Maui, Hawaii ....................................... 46
2.5
The effect of nitrogen application and
time on the
fraction of total dry matter (shoots+ roots+
nodules)
allocated to leaves for three legumes grown
in
Maui, Hawaii
................................................ 47
2.6
The effect of nitrogen application and
time on the
ratio of shoot weight to root plus nodule
weight (RD),
and ratio of total shoot N to root plus
nodule N (RN)
of three legumes grown in Maui, Hawaii .................. 48
3.1 The effect of nitrogen (N) application, and
time on N
accumulation in shoots (SH) and roots (roots plus nodules,
RN) of three legumes (S) grown in Maui,
Hawaii .............. 62
3.2 The effect of nitrogen application and time
on
root (RT) and nodule (NOD) weight (kg ha-1)
of three
legumes grown in Maui, Hawaii
............................... 63
3.3
The effect of nitrogen application and
time on the
accumulation of total dry matter (DR) and
nitrogen (NR)
per unit dry matter below ground (μg N
g-1 root d-1) of
three legumes grown in Maui, Hawaii
......................... 64
3.4
The effect of applied nitrogen on the
uptake of
mineral N (total N assimilated - N derived
from
N2 fixation) per unit root length
per day for
three legumes grown in Maui, Hawaii
......................... 65
3.5 The effect of applied nitrogen and time on
the
length of root per mg root dry weight in
the 0-25 cm soil
layer for three legumes grown in Maui,
Hawaii ............... 66
LIST OF TABLES
(continued)
Table Page
3.6 The effect of applied nitrogen and time on root
length density in the 0-25 cm soil layer of three
legumes grown in Maui, Hawaii
.............................. 67
3.7 The effect of nitrogen application and time
on root
surface area per volume of soil calculated
for the
0-50 cm soil layer (does not include root
crown) for
three legumes grown in Maui, Hawaii
........................ 68
3.8 The quantity of KCl extractable nitrogen at
three
time points in the 0-25 cm soil layer for
three
legumes grown in Maui, Hawaii in 1993
...................... 69
4.1 Comparison between observed and CROPGRO
predicted
values for total nitrogen accumulation of
three
legumes grown with two levels of applied nitrogen
.......... 85
4.2 Comparison between observed and CROPGRO
predicted
values for nitrogen derived from fixation of
three
legumes grown with two levels of applied nitrogen .......... 86
4.3 Comparison between observed and CROPGRO
predicted
values for root weight of three legumes grown
with
two levels of applied nitrogen
............................. 87
4.4 Comparison between observed and CROPGRO
predicted
values for nodule weight of three legumes
grown with
two levels of applied nitrogen ............................. 88
4.5 Comparison between observed and CROPGRO
predicted
values for above ground dry matter of three
legumes
grown with two levels of applied nitrogen
.................. 89
4.6 Comparison between observed and CROPGRO
predicted
values for leaf (plus cotyledon) weight of
three legumes
grown with two levels of applied nitrogen
.................. 90
4.7 Comparison between observed and CROPGRO
predicted
values for leaf area index of three legumes
grown
with two levels of applied nitrogen
........................ 91
4.8 Comparison between observed and CROPGRO
predicted
values for leaf nitrogen accumulation of
three
legumes grown with two levels of applied
nitrogen .......... 92
4.9 Comparison between observed and CROPGRO
predicted
values for grain yield and harvest index
(HI) of three
legumes grown with two levels of applied
nitrogen .......... 93
LIST OF FIGURES
Figure Page
2.1 Proportion of
crop N derived from atmospheric N
(%Ndfa) calculated from
total shoot N of soybeans
grown in Maui, Hawaii, 1991
............................... 49
Chapter 1
DISSERTATION INRODUCTION
BACKGROUND
Legumes are a major
source of dietary protein, especially in developing countries, where direct
consumption of vegetable protein accounts for 75% of total protein consumption
(FAO, 1990). These countries produce
92, 47 and 85% of the world’s production of peanut (Arachis hypogaea),
soybean (Glycine max) and common bean (Phaseolus vulgaris),
respectively (FAO, 1990). Legume
productivity in developing countries lags behind that of developed
countries. Yield of dry beans, soybean
and peanut are 577, 1636 and 1119 kg ha-1 in developing countries
compared to 1020, 2248 and 1885 kg ha-1 in developed countries,
respectively (FAO, 1990).
For years, researchers
and agriculture development specialists alike have tried to improve tropical
agriculture productivity with minimal success (Uehara, 1989). Poor results indicate deficiencies in two
areas: technology transfer (Uehara, 1989) and knowledge of tropical crop
production. This thesis will address
both areas by generating additional data on tropical legume growth and using
data collected to improve the accuracy of legume simulation models, a new tool in technology transfer (Uehara,
1989).
Crop models can be used to predict the
performance of crops in new environments.
Computer simulation, as compared to field trials, may save time, money
and labor by allowing the user (farmer, management consultant, development
planner or agriculture researcher) to assess the impact of changes in
management and weather patterns on crop productivity (Dent and Blackie, 1979;
Uehara, 1989; and Singh, 1991).
Crop simulation models are a series of linked
algorithms, based on current theory, arranged in a defined hierarchical
order. Models do not include all the
components of a defined system. Only
the variables considered critical to meet the aims of the model developer are
included (Dent and Blackie, 1979).
Crop models range from single or multiple
equations to complex hierarchical structures of several algorithms. Models could be described as being made up
of two basic levels. The first level is
theoretical. The second level is made
up of algorithms linking theoretical concepts.
Theory is compiled from basic and applied sciences and observations in
the study of plant growth and development such as, the influence of temperature and photoperiod on soybean development (Seddigh
et al., 1989).
Disagreement between
observed and predicted values of crop growth and development could be a result
of an excluded system variable, inaccurate coefficients of physiological
processes (Dent and Blackie, 1979; Singh, 1991), incorrect equations or
inaccurate observations. Additional
theory could improve the models ability to mimic various biological processes
in a system resulting in better agreement between observed and predicted
values. One of the objectives of this thesis was to generate theory that could
be used to improve CROPGRO V3.0 (Jones et al., unpublished), a legume simulation model. CROPGRO simulates growth of three legumes:
peanut, soybean and common bean, which account for the majority of legume
production.
CROPGRO MODEL
Many decision support
crop models are under continuous development and evolution. Testing models (comparing model predictions
to an independent data set) determine the level of confidence one can have in
model predictions for the crop and site tested. Models for which testing have shown reasonable predictions could
be used as a base for development of other models. SOYGRO (a soybean simulation model), for example, was used as a
base for the development of BEANGRO (common bean model) and PNUTGRO (peanut
model) models (Hoogenboom et al., 1992).
These three crop models were incorporated into a single legume model CROPGRO. A major difference between the three species models and
CROPGRO is the incorporation of a nitrogen (N) sub-model (Hoogenboom et al., 1993) to
simulate N uptake, mobilization and N2 fixation in CROPGRO.
To simulate growth and
yield of particular crop using CROPGRO, one first selects a species, then a
cultivar parameter file. Each file
contains genetic coefficients for several physiological aspects of crop growth
and development (Hoogenboom et al. 1991).
Thus, the model does not simulate a generic legume but maintains species
and cultivar identities that were used for BEANGRO, PNUTGRO and SOYGRO
models. In addition, the user has to
input site information on weather, soil type, management (such as irrigation and fertilizer schedule)
and initial, soil N availability.
To predict plant growth
and development, CROPGRO simulates numerous physiological processes such as
gross photosynthesis and N accumulation. Estimated respiration costs of growth
and maintenance
are
subtracted from gross photosynthesis to estimate net photosynthate. The daily net photosynthate is allocated to
plant parts according to developmental stage (Hoogenboom et al, 1992). Nitrogen is partitioned to plant parts based
on the growth rate and N concentration of the organ (Jones at al.,
unpublished). Partitioning of dry
matter (DM) and N are dependent on stage of development (Thibodeau and
Jaworski, 1975) as well as environmental factors, such as N availability
(Tolley-Henry and Raper, 1986a).
Earlier versions of the GRO models
excluded N uptake and fixation. Thies
(1990) documented that mode of legume nutrition (N uptake versus N2
fixation) had a differential effect on above ground DM accumulation, seed yield
and phenology of Clark soybean at four
elevations on the island of Maui, Hawaii. Prior to comparing SOYGRO V5.42
simulations with observed data, Thies adjusted crop and cultivar genetic
coefficients so that predicted and observed phenology for emergence and R1
(first flowering) were the same. Under native conditions she estimated soybean
N2 fixation provided 15 to 82.0% of total N. She found that SOYGRO V5.42 biomass
predictions had a good fit to observed data but over-predicted seed yield of
soybeans at different elevations.
Thies (1990) showed that
a decline in N2 fixation (associated with N application) increases
DM and N accumulation and agrees with responses measured by other researchers
(Allos and Bartholomew, 1959; George and Singleton, 1992). SOYGRO V5.42 assumes that mineral N
availability or N from N2 fixation does not limit plant growth and
yield. Thus, Thies (1990) indicated the
need to incorporate a N response sub-model in SOYGRO to account for variations
in soil N and its influence on growth and development of legumes.
This model should account for both mineral N uptake and N2
fixation.
In addition to CROPGRO
there are two other simulation models which account for the effect of available
soil N on N2 fixation and growth response: a soybean model by T.R.
Sinclair (1986) and EPIC (Williams et al., 1984). In Sinclair’s soybean model N2 fixation is a linear
function of total vegetative biomass.
The level of N2 fixation is reduced when the soils are
dehydrated or flooded. EPIC estimates
growth parameters, N2 fixation and N accumulation based on
phenology, soil water and soil N for soybean (Bouniols et al., 1991). The parameters used in the EPIC N sub-model where derived from
experiments conducted in France. Bouniols et al. (1991) recommended
further development of the N sub-model should be done for different soils,
climate and legumes. The N sub-model
incorporated into CROPGRO takes all the above factors into account.
Nitrogen demand in the
CROPGRO model is based on an estimation of potential growth, N concentration
and N required to re-fill N mined from old tissue. Nitrogen for plant growth,
in CROPGRO, is derived from three sources: N uptake from the soil, N
mobilization from plant organs and N2 fixation. Nitrogen uptake is
dependent on soil-solution nitrate and ammonium, soil water content and root
length density in each soil layer in which roots are present. Nitrogen mobilization is based on a fraction
of mobilizable protein in each organ, except seeds. The N demand that is not met by uptake and mobilization is obtained
from NZ fixation. Dinitrogen
fixation is dependent on available carbon and growth of nodules, both are
influenced by soil water and soil temperature (Hoogenboom et al., 1990a).
The response of CROPGRO
to changes in soil N was tested with data from NifTAL by Hoogenboom et al.
(1991). Soybean was grown at two
elevations and three N levels on the island of Maui, Hawaii. Improvements in the CROPGRO model, such as,
incorporation of a N sub-model, resulted in a better fit of model simulation to
field data. However, some discrepancies
remained in the following areas of above ground biomass and nodule weight
(Hoogenboom et al., 1991), leaf area index (LAI) and leaf weight and response
to changes in soil N. This thesis is
part of the development of crop models to handle nutrient stress with a focus
on N. The following is a summary of the
problems identified in preliminary versions of CROPGRO:
1. Predication of legume growth and development
under different levels of soil N.
2. Partitioning of DN and N within legume species (peanut, soybean and
common bean) in response to soil N.
3. Biomass and N accumulation over different
levels of applied N.
4. Estimation of leaf area index.
LEGUME RESPONSE TO NITROGEN SOURCE
The effect of applied N on legume yield is a
controversial area. A review of the literature indicates mixed results:
no effect on soybean (Schweitzer and Harper, 1985; Buttery, 1986) and peanut
(Selamat and Gardner, 1985); negative response by soybean (Harper, 1974;
Imsande, 1988), peanut (Thies et al, 1991a); and grain yield increase by soybeans
(Lathwell and Evans, 1951; Bhangoo and Albritton, 1976; George, 1988; Wallace et al., 1990; Thies et al,
1991a), peanut (Ball et al. 1983), and common bean (George, 1988; Thies et al, 1991a). A decrease or no change in yield in response to fertilizer N could be explained by
low P availability (Cassman et al., 1980), high soil N availability (Stone et
al., 1985) and species differences in mineral N assimilation (George and
Singleton, 1992). When N is supplied in
sufficient quantity to decrease N2 fixation, growth is promoted in
soybean and common bean (George and Singleton, 1992), and in lima bean, cowpea,
leucaena, alfalfa and clover (Thies et al., 1991a).
Grain yield of legumes is
proportional to DM and N accumulation (Thies et al., 1991a; Muchow et al.,
1993). During pod fill 70% of N
required for seed development in legumes is derived from remobilization (Pate,
1985). The pool of N within the plant
available for remobilization and seed development is dependent on the rate of N
assimilation during vegetative and early pod development.
Most research on legume
growth and development has
concentrated on the reproductive phase.
Yet, yield and biomass accumulation in the reproductive phases are
influenced by early growth and development.
Assimilation of N is dependent on the growth of root and nodule tissues
during both vegetative and reproductive stages. Their growth and function is proportional to the quantity of
assimilates partitioned to them (Brown, 1984).
Under equal conditions greater DM allocation above ground results in
higher yield potential. When N is the
slain factor limiting growth, the relative amount of photoassimilate
partitioned below ground increases (Tolley-Henry and Raper, 1986a).
Available soil N and
plant N demand will determine the quantity of total plant N derived from N2
fixation. The level of N2
fixation influences the allocation of photosynthate within a legume. In pot and solution culture studies it has
been found that suppression of N2 fixation by N application results
in greater allocation of N above ground (Cassamn et al., 1980; George and
Singleton, 1992). Thus, in order for a
legume crop model to accurately simulate yield in different soils it must
correctly predict the following: the level of N2 fixation in
response to plant demand and available soil N, and photosynthate allocation in
response to the level of N2 fixation determined.
GENETICS, GROWTH STAGE AND ENVIRONMENTAL INFLUENCES
ON CROP NITROGEN AND DRY MATTER PARTITIONING
Dry matter and N
partitioning are interrelated. When N
limits growth, more N is partitioned to the roots (Vessey and Layzell, 1987)
and less N is available for protein development in the shoots. Consequently there is less ribulose biphosphate
carboxylase in the canopy.
Photosynthesis rate and leaf expansion decline, and there is less
photoassimilation (Tolley-Henry and Raper, 1986b; Greenwood et al., 1991). Dry matter and N partitioning among plant
tissues are affected by plant genotype, growth stage and environmental factors.
Genetics
Muchow et al. (1993)
found that the fraction of above ground vegetative biomass and N partitioned to
leaves varied little across three legume species (soybean, mungbean and cowpea)
and environments (water was the main environmental variable). However, calculations from a greenhouse
study reported by Allos and Bartholomew (1959) indicate that partitioning of DM
and N between shoot and roots in response to applied N differed between legume
species. These two studies, Allos and
Bartholomew (1959) and Muchow et al. (1993), indicate that partitioning of
assimilate depends on the environment (Minchin et al, 1981), species being
compared and whether roots have been included in the analysis.
Differences in partitioning
of DM by legume species could be related to the efficiency of carbon use for NZ
fixation (Layzell et al, 1979; Pate, 1985), and plant morphology
characteristics such as root mass (Minchin et al, 1981). The variation in N partitioning among species
could be due to genetically determined differences in N concentration at a
point in time and over time. Nitrogen concentration in seeds of common bean
and soybean are approximately 0.04 and 0.05 g N g seed-1,
respectively. During podfill, N
concentration of common bean varies (Dubois and Burris, 1986) while Ohyama
(1983) found that it is stable for soybean.
Inherent differences in partitioning of assimilates and the efficiency
of their use have been used by plant breeders to create higher economic yielding
crop varieties (Gifford et al., 1984).
Legume cultivars display
different N partitioning patterns.
Selamat and Gardner (1985) demonstrated this in peanut cultivars. Reports in the literature on DM partitioning
to different plant parts as a result of genetic differences between legume
cultivars vary.
Partitioning of soybean
above ground DM in field experiments was the same for cultivars at the same
growth stage (Egli et al., 1985; Hintz and Albrecht, 1994) and the same under
different environment conditions (Egli et al., 1985). Kerr et al. (1984), in a solution culture study, found that
soybean DM partitioning was influenced by cultivar. Westerman et al. (1985), however, under green house conditions,
found partitioning
of DM and N
to be similar for two common bean cultivars.
Growth stage
The distribution of DM
and N among plant tissue is dependent on the stage of development. Early in the plant life cycle vegetative
tissues (primarily leaves) are the principal sinks; as plants progress from
early to mid to late reproductive stages the pods develop into stronger sinks
for carbon (Thibodeau and Jaworski, 1975; Scott et al., 1983) and N as seed
protein content increases (Pate, 1985).
The rate of N and DM
accumulation changes
with growth
stage. Initially DM accumulation is
slow, increases exponentially and declines as the plants start to senesce (Brown, 1984). The period of greatest accumulation of both
DM and N in soybean and common bean is between full bloom (R2) and late pod
fill (R5) (George and Singleton, 1992).
Environment
The major environmental
factors that influence allocation of DM and N within a plant are temperature
and N availability (Tolley-Henry and Raper, 1986a). The level of N availability
in a soil determines the relative contributions of mineral versus symbiotic
sources of N for a legume (Streeter et al., 1988).
Studies have shown that N
metabolism varies with different N sources (Yoneyama and Ishizuka, 1982;
Ohyama, 1983), but the authors did not state what effects N source would have
on seed yield or crop DM production. As
stated earlier application of fertilizer N in amounts sufficient to suppress N2
fixation does increase the yield and biomass of soybeans (Bhangoo and
Albritton, 1976; George, 1988; Thies et al., 1991a) and common bean (George,
1988).
Increased partitioning of
DM and N to leaves potentially increases plant productivity (Sinciair and
Horie, 1989; Muchow et al., 1993).
Under conditions
of low N
availability and inadequate leaf N concentration, roots are a relatively
stronger sink for N than above ground plant parts in peanut (Selamat and
Gardner, 1985) and soybean (Vessey and Layzell, 1987).
In soybean, Tolley-Henry
and Raper (1986a) reported N stress reduces leaf expansion more than
photosynthetic rate, making relatively more photoassimilate available to the
roots. In addition, Vessey and Layzell
(1987) found sink strength for soybean in vegetative stages followed the order
(from highest to lowest): roots, leaves, and stems and petioles. This indicates that under N stress roots
continue to develop at the expense of shoots.
Thus, when N limits growth, the shoot to root ratio is lower than with
adequate N availability (Allos and Bartholomew, 1959; Kerr et al., 1984; Tolley-Henry
and Raper, 1986a; Vessey and Layzell, 1987).
In legumes, sink strength below ground also increases with a decline in
soil N as nodules grow and develop in response to the degree mineral N limits
growth. The quantity of photoassimilate partitioned to the root is dependent on
the level of N2 fixation (Singleton and van Kessel, 1987). This competition for carbon between shoots
and N assimilating tissues can reduce above ground development and
photosynthetic potential, ultimately limiting yield potential as a function of
legume reliance on N2 fixation.
Agreement between
solution culture and pot studies, summarized above, implies that a similar
response should occur in the field. Yet
no field studies have been designed to test this hypothesis. Hence, one of the aims of this thesis was to test that
under N deficient
conditions
roots are a greater sink for DN than under N sufficient conditions.
ROOT GROWTH
Roots anchor plants and
absorb water and nutrients from surrounding soil. Legume roots obtain N via
uptake of N from soil solution or via N2 fixation in root
nodules. The quantity of N potentially
accumulated through N2 fixation is a balance between plant demand
for N and the amount of N available from the soil (Altos and Bartholomew, 1959;
George and Singleton, 1992). When
uptake of N from the soil is insufficient to meet plant requirements, N2 fixation will
occur to meet the deficit, providing there are no factors limiting N2
fixation. Thus, N2 fixation
only occurs in plants when growth is limited first by N deficiency. The proportion of total crop N from N2
fixation is directly related to the level of N deficit. Despite the ability of legumes to fix large
quantities of N2 from the air, N2 fixation is unable to
supply all the N required by legumes.
This is supported by findings that symbiotic legumes frequently respond
to applied N (Lathwell and Evans, 1951; Thies, 1990; George and Singleton, 1992).
Plants deriving most of
their N from N2 fixation tend to have lower biomass and yield (Allos
and Bartholomew, 1959; George and Singleton, 1992). The response to applied N may be indicative of the higher total
energy costs of N2 fixation compared to that of mineral N and
metabolism. Although at cellular and enzymatic
levels the cost of nitrate assimilation is not greatly different than that of N2
fixation, on a whole plant level the cost of N2 fixation is greater
(Pate et al., 1979). In solution
culture nodulated roots respire more carbon per gram N assimilated than
non-nodulated roots (Pate et al., 1979; Ryle at al., 1979; Finke et al., 1982). Increased below ground respiratory cost for
N2 assimilation may be due to the fact that legumes must support
highly specialized structures, root nodules, that unlike roots, have no other
purpose than N2 assimilation.
This carbon lost via
respiration represents a loss in potential biomass. There are, however, no field experiments that test whether or not the suppression of
N2 fixation would result in greater root and shoot growth.
Legumes have a feedback
mechanism that controls the level of N2 fixation in response to
available soil N. Soil nitrate
concentrations are negatively correlated with N2 fixation. Nitrogenase activity declines with applied N
(Streeter, 1988) decreasing the sink strength of, and hence, the quantity of photoassimilate partitioned
to nodules. A decline in nodule weight
occurs as a result (Buttery, 1986; Abaidoo et al., 1989).
With an increase in
available N, root (nodules not included) growth increases (Allos and
Bartholomew, 1959; George and Singleton, 1992) and root length increases
(Cassman et al., 1980). Thus legumes in
higher N environments
have more
roots and a greater area over which to absorb N. This study measures the effect of mineral N on growth and
development of roots and nodules within and between three legume species:
peanut, soybean and common bean.
OBJECTIVES
Some of the problems
identified in CROPGRO are a result of insufficient research from which simulation coefficients
could be developed such as, early growth of legumes (Jim Jones, Personal Communication). Models, like plants, build on earlier performance. Improved simulation of early growth could
improve model precision of final yield and biomass estimation.
Further, a review of the
literature indicated that there was little field data to explain legume growth
above and below ground in response to applied N. Coefficients for models simulating growth of legumes in farmers
fields should be based on field data.
Experiments were designed to generate data to meet two objectives. The first objective was to better understand
the mechanisms for enhanced DM and N accumulation by legumes obtaining most of
their N from the soil as opposed to legumes that fix most of their N. The second objective was to compare data
collected to values predicted by CROPGRO, and to make recommendations for further development based
on a comparison of predicted and observed values and legume growth as conditioned by N levels.
Chapter 2
THE RELATION BETWEEN MODE OF N
ASSIMILATION IN
PEANUT, SOYBEAN AND COMMON BEAN
TO:
I. YIELD AND YIELD
DETERMINANTS.
ABSTRACT
Results for legume yield
response to suppression of N2 fixation, due to an increase in
available nitrogen (N), are variable.
It has been shown, however, in solution culture studies that on a whole
plant level N2 fixation consumes more energy than assimilation of
soil N. A decline in N2
fixation, in response to elevated soil N, should increase the level of
photoassimilates available for shoots or root growth. There are no explanations based on field data as to why legumes
in which N2 fixation is suppressed have
greater shoot weight compared to legumes more reliant of N2
fixation. Two experiments, 1991 and
1993, tested two hypotheses: response of legume growth to applied N (causing
lower N2 fixation) would have the same trend across species and; 2)
increased dry matter (DM) partitioning to legume leaves is the primary factor
determining increased shoot weight in plants less reliant on N2
fixation. In 1991, soybean (Glycine
max Merr. (L.) cv. Clark) was grown at three levels of applied N: 0, 256
and 430 kg ha-1 defined as N0, N1 and N2, respectively. Weight and N concentration of leaves, stems,
pods, cotyledons, nodules and leaf area were measured at 10, 22, 30, 39 and 51
days after emergence (DAE). At 22 and
51 DAE root weight was measured. In
1993 peanut (Arachis hypogasa cv. Pronto), soybean and common
beam (Phaseolus vulgaris cv. Porillo Sintotico) were grown at
either 0 (N0) or 275 (375 for peanut) (N1) kg N ha-1. Weight and N concentration of leaves, stems,
pods, cotyledons, roots and nodules were measured at 10, 23 and 44 DAE. Application of N decreased the fraction of
plant N derived from fixation (Ndfa) by all species. In 1993, at 44 DAE, application of N decreased Ndfa to 60% of the
value measured for plants grown with native
soil N. Compared to N0, average shoot weight and deaf area index
(across years and species) of N1 plants were greater by 23 and 20%,
respectively. This response was
measured as early as 10 DAE and remained consistent throughout the growth of the legumes. Increased allocation
of DM to leaves at 10 DAE resulted in greater leaf area that was maintained throughout
crop growth. For all observations
plants that were more reliant on N2 fixation partitioned a greater
fraction of total DM below ground.
There were three slain conclusions. One, soybean, common bean and peanut, despite active fixation,
can be N limited. Two, allocation of
plant DM in early vegetative stages was an important determinant in shoot DM
accumulation when N2 fixation was suppressed by N application. Three, the response of actively fixing
soybean, common bean and peanut to applied N was similar.
INTRODUCTION
Greater legume growth has
been reported when available soil nitrogen (N) increases, even when the legume
is well nodulated (Thies et al., 1991a; George and Singleton, 1992). Legumes assimilate N from both root uptake
of NH4+ and NO3- from the soil and
reduction of N2 in root nodules through symbiotic N2
fixation. Energy use by N2
fixation (growth and maintenance of nodules and the process of N2
fixation) is less efficient than assimilation of soil N (Pate et al., 1979;
Ryle et al., 1979; Pinks et al., 1982).
The amount of N derived from N2 fixation is determined by the
difference in total crop N requirements and N available in the soil. As the level of soil N increases, the
quantity of crop N derived from N2 fixation declines (Streeter,
1988). As N2 fixation
declines, with an increase in soil N, photoassimilate that would have been used
for N2 fixation is more available for shoot and root growth.
The literature, however,
reports mixed results of the effect of applied N on legume growth and grain
yield. The response of legumes to
applied N is dependent on two factors. Firstly,
total N requirement for plant growth is determined by the interaction between
genetic yield potential and a host of environmental factors. In field
(George and Singleton, 1992) and pot (Allos and Bartholomew, 1959) studies, the
degree of suppression of N2 fixation by application of N was not
constant across species. This could be
due to varying N requirements or genetic differences in the quantity of carbon required to reduce a mole
of N2 (Layzell et al., 1979) between the species. In some locations
crop N demand can be met by available soil N, where environmental effects
reduce crop N demand, such as low temperature and solar radiation (Thies et
al., 1991a) or at sites where soil N availability is high (Stone et al.,
1985). Nutritional status of the soil,
other than N, is also influential in determining crop response to applied N. Cassman et al. (1980) studied growth of soybeans at different
levels of phosphorus (P) and N. When P
was no longer limiting to plant growth, an increase in soybean biomass to
applied N was measured. Thus, if an
essential element, other than N, is the main limiting factor crop growth and
yield response to applied N will be attenuated.
The second factor
affecting crop response to fertilizer N is the method of N application. Experiments in which N was applied in
regular intervals, such as Ball et al. (1983) George and Singleton (1992) and
Thies et al. (1991a), throughout the growing period measured a
positive effect of N on growth. A
reduction or no effect of N on growth was measured in experiments that applied
fertilizer N at planting such as Buttery (1986). Lack of greater growth to applied N is probably due to loss of N
over time, as applied N may have been leached from the soil profile.
Most research on the role
of N assimilation on legume growth and development has concentrated on the
reproductive phase. Yet, yield and
biomass accumulation in the reproductive phases are influenced by early growth
and development. During pod fill 70% of
the N and 2-5% of the carbon (C) previously assimilated are remobilized for
legume seed development (Pate, 1985).
For high yield, therefore, legumes must accumulate a large N reserve and
leaf area to supply N and C to the seed.
Leaves are the sole C source and pods, roots and nodules are net
sinks. Increasing leaf area would
increase the photoassimilate available for whole plant development. The experiments presented in this thesis
compare the effect of N assimilation from mineral or atmospheric sources on
partitioning of DM and N and subsequently leaf area and crop growth, from early
vegetative stages to mid-podfill.
Dry matter (DM) and N
partitioning among plant tissues is affected by plant genotype, growth stage
and the environmental factors. Muchow
et al. (1993) concluded under similar soil field conditions the fraction of
above ground DM and N partitioned to leaves varied little across species
(soybean, mungbean and cowpea) and soil moisture regimes. Calculations from a greenhouse pot study reported by Allos and
Bartholomew (1959) indicate that partitioning of DM and N to shoots or roots in
response to applied N differed between legume species. Comparing these two studies indicates that
differences in assimilate partitioning may be dependent on the environment and
species being analyzed, as well as the inclusion of roots in the analysis.
The distribution of DM
and N among plant
tissue is
also dependent on the stage of development.
Early
in the plant
life cycle vegetative tissues (primarily leaves) are the principal C and N
sinks. As plants progress from early to
mid to late reproductive stages the pods develop into stronger sinks for C
(Thibodeau and Jaworski, 1975; Scott et al., 1983) and N (Pate, 1985) as seeds
increase their protein reserves.
It has also been found in
solution culture (Tolley-Henry and Raper, 1986b; Vessey and Layzell, 1987) and greenhouse (Cassman et al., 1980;
George and Singleton, 1992) studies that N availability is a major factor in
allocation of DM and N. Tolley-Henry
and Raper (1986a) concluded N stress in soybean reduces leaf expansion more
than photosynthetic rate and increases photoassimilate available to the
roots. Vessey and Layzell (1987)
measured a hierarchy of sink strength for soybean tissues (in descending
order): roots, leaves, stems and petioles.
In legumes, sink strength below ground also increases with a decline in
soil N as nodules grow and develop in direct proportion to the degree to which
mineral N availability limits growth.
When N limits growth, root development continues at the
expense of shoot development, resulting in a lower ratio of shoot weight to
root weight than with adequate N availability (Kerr et al., 1984; Tolley-Henry
and Raper, 1986a and 1986b; Vessey and Layzell, 1987). Thus under N-luxuriant
conditions there is an increase in shoot to root ratios, shoot growth rate
(Kerr et al., 1986; Tolley-Henry and Raper, 1986a) and yield (Thies et al.,
1991a; George and Singleton, 1992).
Despite the evidence
under controlled conditions, there are no reports of field studies on the
effect of variable soil N on DM and N partitioning in legumes. Thus, two field experiments were designed to
test whether greater allocation of DM to leaves would result in greater shoot
weight in legumes less reliant on N2 fixation, and the response
i.e., more or less growth, of each legume to applied N is the same across
species.
MATERIALS AND METHODS
The first experiment
measured growth of soybean under a range of different soil N regimes. The aim of the second experiment was to
determine if trends measured in the first experiment could be repeated in
soybean and two other legume species.
In both experiments soil N levels were altered (by application of N) so
that legumes were differentially dependent on soil N and N2 fixation
as a source of N.
Site description
Two experiments in
adjacent sites were conducted on the island of Maui, the first in 1991 and the
second in 1993. The soil is classified
as Haiku Clay (clayey, oxidic,
isohyperthermic typic palehumult). The
elevation of the sites was 320m. Soil
pH was 5.67 and 6.5 for experiments one and two, respectively. In 1991 and 1993 the average maximum
temperatures were 26.5 and 26.60C, and the average minimum
temperatures were 18.8 and 20.30C, respectively.
Experimental and
treatment design
Experiment 1, 1991.
Treatments were arranged
in a split-split block design with four replications. Two soybean isolines (nodulating and non-nodulating) cv. Clark
(USDA, Beltsville, MD) were randomly assigned to main plots, N treatments were assigned
to sub-plots at random and harvest time (10, 22, 30, 39 and 51 days after
emergence [DAE]) to sub-sub plots selected at random (see Appendix 1).
Applications of N were
made over time, based on the pattern and quantity of soybean N uptake as
reported by George and Singleton (1992) and soil N availability by Cassman
(1979) for 1991. Nitrogen (as sulphate
of ammonia) was applied at the rates of 0, 267 and 430 Kg N ha-1
(coded N091, N191 and N291, respectively).
Nitrogen was split into four applications. At planting 60% was applied, 15% after the first two harvests and
the remaining ten percent between the second and third harvest. In 1991, 22 Mg ha-1 of sugar cane
bagasse was applied to the soil a week prior to planting to reduce soil N
availability. The bagasse was disked
into the soil and rotavated to a depth of 20 cm.
Experiment 2, 1993
The experimental design
was a split-split-split-plot, with four replicates. Treatments at each level
were randomly assigned; main plots were three legume species: peanut (Arachis
hypogaea cv. Pronto, University of Oklahoma), soybean (two isolines as
in experiment 1) and common bean (Phaseolus vulgaris cv. Porillo
Sintetico, CIAT, Colombia), sub-plots were inoculated and uninoculated
treatments, two N application rates were sub-sub plots and sub-sub-sub plots
were harvests (see Appendix 2). There were four harvests, the first three
harvests were at 10, 23 and 44 DAE corresponding
to V1, V5 and R5, respectively, in
soybean and common bean (Fehr and Caviness, 1977), and to V3, V6 and R3 for
peanuts (Boote, 1982).
There were two N
treatments, native soil N (N093) and applied N, from urea, (N193). A total of 275 kg N ha-1 was
applied to soybean and common bean and 375 kg N ha-1 to peanut over
the period of crop growth. Seven N
applications were made (kg N ha-1); 75, 50, 30, 35, 35, 25 and 25 at
planting then 12, 24, 31, 38, 46 and 62 DAE (peanuts emerged two days later
than soybean and common bean). Two
additional applications of 50 kg N ha-1 each were made to peanut at
82 and 104 DAE.
Soil amendments
Other fertilizers were
applied to all plots (kg ha-1): 350 P as treble superphosphate, 285
K as K2SO4, 60 Mg as MgSO4·7H20, 10
Zn as ZnSO4·7H20, 5 B as H3BO3 and
2 Mo as Na2MoO4.
In 1993 5.5 Mg ha-1 of Ca(OH)2 was applied to the
soil a month prior to planting.
Planting, inoculation and
plant culture
In 1991 soybean seeds
were planted on the 10th of July. Prior
to planting, the seeds of the nodulating isoline were coated with a three
strain mix of Bradyrhizobium japonicum; USDA 110 (TAL102), USDA
136 (TAL379) and YCK213 (TAL1906) using gum arabic as a sticker. The seeds were inoculated at the rate of 107
cells per seed.
In 1993 liquid inoculum
was applied to furrows at the rate of 104 to 105 cells
per cm of row, after planting and prior to covering. A separate three strain mix of rhizobia was used for each
species. For peanut TAL 1000, Nitragin
176A22 (TAL 169) and Nitragin 8A11 (TAL 1371) were used. For common bean CIAT 632 (TAL 1383), TAL 182
and CIAT 899 (TAL 1797) were used. Soybean strains were the same as in
experiment 1.
Each plot consisted of 6
rows 60 cm apart and plants in the rows were spaced to obtain a final population of 400,000 plants ha-1 for soybean
and 300,000 for peanut and common bean.
Moisture tension was monitored with tensiometers placed at 25 cm depth and maintained at - 0.2 bars with drip
irrigation supplementing rainfall. Air
and soil temperature, total solar radiation, and rainfall were recorded by a
Campbell Scientific CR-21 micrologger (Campbell Scientific, Inc., Logan UT).
Shoot and root sampling
procedures
Shoot sampling
Photosynthesis of the
most recent fully expanded trifoliate was measured In experiment 1 at R3 using
a LICOR portable photosynthesis system model LI-6000. Three leaves were measured in each block. Two blocks were measured per day between 12
and 2 pm.
In both experiments
harvest plots were 2.4 m2.
Plants were cut at ground level and the fresh weight of the entire plot
was measured. A sub-sample of 10-20
plants (for early harvests) and 4-10 (for later harvests) was removed to
determine dry weight fraction of the whole plot fresh weight and leaf area
index (LAI). Sub-sample plants were
separated into: cotyledon, leaf, stem and pod.
Leaf (plus cotyledon) area was measured with a Licor LI-3100. For all the harvests ten random root systems
of the nodulating
plants were
collected to measure nodule weight.
The final (fourth)
harvest was done at harvest maturity, seed and stover were collected. Harvest maturity was 120, 84, 80 DAE for
peanut, soybean and common bean, respectively.
Root sampling
In 1991 at 22 and 51 DAE
root weight was estimated by collection of soil cores at two depths: 0-25 cm
and 25-50 cm. Half the cores were taken
between and half within the rows for both depths. For the harvest at 22 DAE 6 cores were collected. At 51 DAE ten root cores were taken at each
depth. Thirty per cent of the soil collected for the 0-25 cm layer was
sub-sampled for root extraction. Roots
and other plant debris were separated from the soil using the hydropneumatic
elutriation system (Smucker et al., 1982), and stored in 20% propanol at 40C. The roots were manually separated from other
organic matter by suspending the mixture in a plastic container with
water. The container was placed over a light
box and translucent roots
collected. Tap roots (coarse lateral
root were clipped off) collected for nodule weight measurement were included in
the estimation of root weight. In 1993 (experiment
2) root mass was estimated as described for the second harvest in experiment
one. At 10 DAE root mass was estimated
to be zero for 25-50 cm depth.
Plant analysis
Nitrogen concentration
was measured for all plant parts with a Leco CHN analyzer after drying at 700C
to constant weight and grinding to fine powder.
Growth analysis
Dinitrogen fixation was
estimated by the difference method as described by Peoples et al. (1989). The uninoculated plots were used as
reference plants. Leaf area index (LAI, m2 m-2) was expressed as the leaf
area per unit of land area. Specific
leaf area (SLA, cm2 g-1) was calculated by dividing leaf
area of a sample by its weight. Unit
leaf rate (ULR, g m-2
d-1) was calculated by dividing
the incremental increase in Ddb (DM2-DM1) over the average leaf area for the
same time period ([LAI1+LAI2]*(T2-T1)/2) (Hunt, 1978).
All statistical analysis
was done
using SAS
(SAS Institute, 1985). Treatment
differences were considered significant at a probability level of 5%. The following analysis was done for
presentation of F-tests in the tables.
The tables only include the statistical analysis of the inoculated N
treatments for both years (data for the uninoculated treatment can be found in
the appendices). In 1991, N treatments
were tested with the error term replicate (R) X N. In 1993, the analysis of variance was
organized as follow: R species(S)
Ea=R*S N N*S Eb=N*S*R. Species
were tested with the error term EA.
Nitrogen and N*S interaction
were tested with error term Eb.
RESULTS
Effect of N nutrition on
yield and yield determinants
In both years and across
species there was a significant reduction in N2 fixation when N was
applied (Fig. 2.1 and Table 2.1). In
1991, N2 fixation by soybean N1 treatment at 51 DAE was 27% of the
level of N2 fixation in N0 (Fig. 2.1). Dinitrogen fixation, at 44 DAE, estimated in 93N1 treatments were
lower than measured in the 93N0 treatments by 0.38, 0.79 and 0.92% for
peanut, soybean and common bean, respectively (Table 2.1). At 44 DAE, the fraction of N derived from N2
fixation in peanuts was probably under estimated as uninoculated peanut, in
later growth, formed some effective nodules with native rhizobia.
Of the three species
grown in 1993 peanut had the highest seed yield at harvest maturity (Table
2.2). In addition, a significant
increase in yield to applied N was measured in soybean and common bean but not
peanut. Total DM and N accumulation,
and seed yield were proportional to length of time to harvest maturity.
Of all the species,
soybean had the highest proportion of seed harvest index (HI) and seed N
harvest index [NHI] (Table 2.2). There
were no significant effects of N fertilization within species for HI or
NHI. There was a strong correlation
between seed yield and total DN above ground (r=0.96).
Above ground DM (Table
2.3), leaf area and total leaf N (kg N ha-1) (Table 2.4) increased
in response to applied soil N (or decline in N2 fixation) for all species, and both years
for soybean. There was no significant treatment effect on SLA
within a species (data not shown).
In 1991, photosynthesis
per unit area measured at R3 was not significantly different between N
treatments, except non-nodulating N0 (Appendix A-3). In 1991, there were significant differences in specific leaf N at
10 (V1) and 22 (V5) DAE (SLN; leaf N per unit leaf area) but not for the other
harvests, which may explain why no difference in photosynthesis was measured at
R3. It cannot be concluded that N
fertilization had no effect on photosynthesis. Perhaps if measurements were
taken when SLN was significantly different, an affect of N on photosynthesis
may have been measured. In 1993 there
were significant differences in SLN across species.
For each percentage
decline in N2 fixation at harvest maturity there was an increase of
above ground DM of 20.5 and 7.6 kg ha-1 for soybean and common bean,
respectively. This suggests that N2
fixation in soybean uses more energy than common bean. This indirect measure, however, is not an
absolute estimate of N2 fixation as leaf area development between
the two treatments (N0 and N1) was not the same.
Influence of N source on
partitioning of N and DM
The degree to which
applied N increased DN partitioning to leaves was species dependent (Table
2.5). Common bean partitioned the
greatest amount of DM to leaves and soybean the least at 10 and 23 DAE. The N1 soybean treatments consistently
allocated more DM to leaves across harvests and both years. For peanut and common bean the trend was not
that consistent. There were no
differences in partitioning of DM to leaves at 23 DAE for peanut, and 44 DAE
for peanut and common bean across N treatments.
The fraction of DM
allocated to leaves changed over time across species. From 10 to 23 DAE more DM was partitioned to leaves of soybean
and peanut, in 1993, and declined thereafter.
The same occurred in partitioning of DM to leaves in soybean in 1991. In
common bean the fraction of DM partitioned
to leaves was greatest at 10 DAE.
In the N0 treatments
relatively more DM and N was partitioned below ground to roots and nodules for
all the harvests (Table 2.6). In 1993,
the effect of N application on shoot to root plus nodule ratio was not
significant at 22 and 44 DAE but across harvests the effect was
significant. The relative differences
in shoot to root ratios of DM and N were greatest for common lean. There were greater differences in
partitioning of N than DM.
DISCUSSION
The experiments described
in this chapter measured growth response and N2 fixation of three
legumes under two soil N regimes. The
quantity of N derived from N2 fixation or mineral sources differed
in the two-regimes. In the first regime
(N0) N was obtained from N2 fixation and native soil N. In the second regime (N1) the addition of
fertilizer N decreased the proportion of N assimilated through N2 fixation. Thus for N1 treatments more plant N was
derived from the soil compared to N0. This resulted in plants with
low and high levels of N2 fixation (N1 and N0, respectively). The proportion of plant N derived from the
atmosphere (Ndfa) was also dependent on phenoiogical stage and species.
During the phase from
emergence to R1 the rate of N assimilation was 20 to 22% of the
rate between R1 and R5 for all species (data not shown). These findings were similar to those
of George and Singleton (1992). Low
demand for N in early growth stages and/or greater soil N availability in the
N1 treatments kept %Ndfa below 20% for most time and N treatment combinations.
Nitrogen application suppressed N2 fixation more in common bean than
soybean and peanut. Dinitrogen fixation
increased in soybean (91N2) and peanut (93N1) at 10 DAE possibly as a
result of starter N effect.
In all the treatments in
which N application suppressed N2 fixation there was greater
yield. In peanut, however, increased
yield in the N1 treatments was not statistically significant. Perhaps insufficient N was applied to
measure treatment differences. Other
field studies have measured an increase (Ball et al., 1983) and decrease (Thies
et al., 1991a) on peanut yield in response to applied N. Further work is needed to better understand
the interaction between peanut cultivars, climate and available soil N to yield
and yield determinants.
Increased legume yield
could not be explained by HI or NHI which were the same within species at both
levels of applied N and is consistent with data collected by Jeppson et al.
(1978), and Egli (1988). This supports
the hypothesis that variation in soil N does not influence the expression of
genes determining DM and N partitioning
to seeds at harvest maturity.
Egli (1988) suggested
that yield may be more closely related to crop growth rate than partitioning of
DM and N at harvest maturity. The
plants to which N was applied did have greater growth rates. Greater growth rates for legumes less
dependent on N2 fixation were not a result of increased efficiency
of DM accumulation per unit leaf area (see Appendix Table A-4). Growth rate
differences were due to measured differences in partitioning. In 1991, there was a significant increase in
the fraction of DM allocated to soybean leaves at 22 DAE. The results of the 1991 experiment supports
the hypothesis
that
increased DN partitioning to leaves in legumes less dependent on N2
fixation was the main determinant of increased crop growth measured in this and
other experiments. The experiment in
1993 tested whether this hypothesis would be consistent across years for
soybean and across three legume species.
Data collected in 1993 supported the above hypothesis. Increased partitioning of DN to leaves in
1993 at 10 DAE resulted in a greater biomass that was maintained throughout crop growth.
A review article by
Gifford et al. (1984) recommended two ways to improve yield; increasing photosynthesis or
partitioning more carbon to yield. All
the legume species used the former strategy.
Increased LAI from early growth would have increased the quantity of
solar radiation intercepted and subsequently photosynthetic capacity of the
legume. Sinclair and Horie (1989) found
that the quantity of N per unit leaf area was indicative of the carbon dioxide
assimilation rate. The combination of greater N per unit
leaf area and more leaf area measured for N1 plants likely created plants with
a greater capacity to fix C.
Treatment differences in
C-fixation were measured through biomass accumulation. As early as 10 DAE and continuing through at
least early pod-fill there were significant differences in LAI between the
treatments. Treatments in which N2 fixation was suppressed by N
application had higher LAI than N0 treatments.
At 10 DAE, plants in the N0 treatment were experiencing some degree of N
stress, as seed N was depleted and the plants became more reliant on N from the
soil or N2 fixation.
Growth, maintenance and N assimilation of nodules are a major sink of
photoassimilate (Finke et al., 1982).
These observations of the sink strength of nodulated roots being higher than roots with fewer nodules
agree with data collected in this experiment.
The greater the level of N2 fixation the more photoassimilate
was allocated below ground, probably for growth of nodules. Allocation of assimilate below ground
appears to limit leaf area development, which in turn limits photoassimilate
supply for overall plant growth.
The positive response of
legume growth to N measured in the above experiments and by other
researchers within a species (Ball et al., 1983), in multiple legume species
and on more than one site (Thies et al., 1991a; George and Singleton, 1992)
presents convincing evidence to support the theory that well nodulated
soybean, peanut and common bean can be N limited. The data presented in this
paper indicate that N limitation of legumes relying on N2 fixation
was manifested in lower grain yield.
Lower yield was due to lower shoot weight as a result of lower leaf
area. This was due to a lower
proportion of DN allocated to leaves
during the early vegetative stages as compared to plants less reliant on N2
fixation. Shoot and leaf area growth
appear to be limited by competition with nodulated roots for
photoassimilate. The greater the N stress
the more DN was partitioned below ground to roots and nodules, the organs
obtaining the factor most limiting to plant growth.
Increasing N2
fixation to meet N demand results in lower yield than can be achieved by
non-symbiotic N assimilation. This is
due to more preferential partitioning of photoassimilate to root and nodules for growth and
maintenance at the expense of shoot development. This study, however, is not to recommend the use of N as a means
of increasing legume yield. Rather,
legume yield could be increased by improving the efficiency of the rhizobium
symbiosis so that less C is used per gram N fixed, decreasing sink strength of
the nodules. In turn this would elevate
the quantity of photoassimilate for growth and maintenance of other plant
organs.
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Chapter 3
THE RELATION BETWEEN MODE OF N
ASSIMILATION IN
PEANUT, SOYBEAN AND COMMON BEAN
TO:
II. ROOT GROWTH, MORPHOLOGY AND
N UPTAKE
ABSTRACT
Suppression of legume N2
fixation, by elevated levels of available nitrogen (N), can result in increased dry matter (DN) and nitrogen
(N) accumulation compared to plants more dependent on N2
fixation. Work done in solution and pot
studies has demonstrated that changes in root mass and structure and uptake of N per gram of root
account for increased N accumulation in plants less dependent on N2 fixation. There are no comprehensive field studies
testing this theory within and across different legume species. Field experiments, in 1991 and 1993, were,
therefore, designed to test whether: 1) suppression of N2 fixation,
by N application, increases efficiency of N accumulation per gram DM below
ground and root surface area (RSA) due to greater root growth, accounting for
more N accumulation in legumes less dependent on N2 fixation; 2)
different legume species would have similar responses to applied N. In 1991, soybean (Glycine max
Merr. (L.) cv. Clark) was grown at two levels of applied N: 0 and 256 kg N ha-1. Weight and N concentration of shoot and
roots (subdivided into components) and root length were measured at 22 and 51
days after emergence (DAE). For the
second field experiment, in 1993, soybean, peanut (Arachis hypogaea
cv. Pronto) and common bean (Phaseolus vulgaris cv. Porillo Sintetico)
were grown at two levels of applied soil N: 0 and 225 kg N ha-1. Plant samples were collected at 10, 23, 44
DAE as in 1991 and at harvest maturity.
The response to applied N was the same in all legumes. Common bean had the greatest relative
increase in N accumulation. The legumes
to which N was applied accumulated 17% more N compared to plants grown at
native soil N. Average nodule weight across years and species of fertilized
plants was half of the weight in the unfertilized plots. At 10 DAE in 1993, root mass was less in the fertilized plots
compared to unfertilized plots. In 1993
and 1991, an average increase of 17, 27 and 19% was measured for root weight,
RSA and N uptake per gram DM below ground at 23 nd 44 DAE. The main conclusions of this study are: one,
over time root weight in response to N application changes, lower at 10 DAE and
higher thereafter compared to unfertilized plots; Two, increased efficiency of
N accumulation per unit DM below ground and RSA due to greater root weight were the main factors
accounting for an increase in N accumulation; Three, crop response to applied N
was similar across species.
INTRODUCTION
Chapter two demonstrated that well
nodulated soybean, common bean and peanut can be nitrogen (N) limited. This was demonstrated by a consistent
increase in growth across species with applications of fertilizer N. Application of N reduced the quantity of legume N that was
derived from fixation (Ndfa). Legumes with lower Ndfa partitioned a greater
proportion of their dry matter (DM) to leaves early in the growing season
(prior to 10 DAE). This preferential
allocation of DM to leaves resulted in greater DM accumulation in legumes less
dependent on N2 fixation.
Previous research has shown that an increase in DM corresponds to
greater N accumulation (Allos and Bartholomew, 1959; George and Singleton, 1992). The aim of this chapter was to demonstrate
on a whole plant level the mechanisms for greater N accumulation in legumes
less dependent on N2 fixation.
Legumes obtain N via
either uptake of N from soil solution or through N2 fixation. The quantity of N accumulated from either
source is a result of the difference between quantity of legume N demand and
the amount of available soil N (George and Singleton, 1992). When available soil N is inadequate to meet
plant demands, N2 fixation will occur. Thus, N2 fixation occurs when there is insufficient
soil N to meet growth potential. Accumulation of N, however, by legumes more
dependent on N2 fixation is not equivalent to legumes in
N-sufficient environments
(George and
Singleton, 1992).
Legumes more dependent on
N2 fixation, as an N source, tend to have lower DM and yield
compared to plants deriving the majority of their N from the soil (Allos and
Bartholomew, 1989; Thies et al., 1991b; George and Singleton, 1992). This indicates that N2 fixation requires more energy
than uptake of soil N. At cellular
levels the cost of N assimilation is not very different from that of N2
fixation. On a whole plant level,
however, the cost of N2 fixation is greater (Pate et al.,
1979). Solution culture experiments
demonstrated that nodulated roots respire more carbon per gram N assimilated
than non-modulated roots (Pate et al., 1979; Ryle at al., 1979; Finks et al.,
1982). Increased respiratory cost of
the N2 fixation system represents a potential loss of DM.
Dinitrogen fixation declines with
increasing soil N availability. This is
a result of a decline in nitrogenase activity with elevated levels of soil N
(Sweeter, 1988). This decline in enzyme
activity may decrease sink strength of nodules, accounting for lower nodule
weight at elevated levels of soil N (Buttery, 1986; Abaidoo et al., 1989; Thies et al.,
1991b). The sink strength of roots
and nodules has been demonstrated by decreasing shoot to root ratios as
available N decreases (Tolley-Henry and Raper, 1986a; George and Singleton
1992; Chapter 2). In some cases this
effect of mineral N on DM partitioning does not translate into less root mass
due to an increase in absolute DM accumulation.
An increase in root
weight and N accumulation with applied N has been measured in
many studies (Allos and Bartholomew, 1959; Cassman et al., 1980; George and
Singleton, 1992). George and Singleton
(1992) using data collected in pot studies estimated greater accumulation of N
per gram DM in roots with application of N. Increased N accumulation under
N-sufficient conditions could be a result of greater root absorptive area
(Cassman et al., 1980; George and Singleton, 1992) and higher soil N
concentrations. Greater absorptive area of legume roots could result from
greater root mass and changes in root length (Cassman et al., 1980).
There are, however, no
comprehensive field studies on legume root and nodule growth as conditioned by
available N levels. This may be due to
the difficulty of collecting roots in field studies. Pot and solution culture studies provide valuable data on the
patterns of plant response, but coefficients for use in legume simulation
models should be derived from field experiments.
Two field experiments
were designed, therefore, to test the following two hypotheses:
1. When N2 fixation is suppressed by
mineral N application increased efficiency of N accumulation per gram root and
greater root surface area due to greater root growth account for elevated
levels of accumulated plant N as compared to plants obtaining most of their N
from N2 fixation.
2. The pattern of legume response is the same
across all three species.
MATERIALS AND METHODS
Treatment design, plant
culture and sampling techniques are described in chapter 2. Additional data collected is described
below.
Available soil nitrogen
Soil suspensions, of 7.5
g (oven dry weight equivalent) soil in 75 ml of 2M KCl, were shaken for 2 hours
on a mechanical shaker. The suspensions
were filtered and extracts taken. A
sample of the extract was sent to the soils lab at Stanford for determination
of NH4+-N
and NO3—-N. The methods used were A303-S071-00 and A303-S170-21 as
described by Alpkem (now Perstorp Analytical Company) for NH4+-N
and NO3--N respectively.
Root length
Roots collected were
evenly spread on a sheet of clear glass and photocopied. A clear plastic sheet with a 1 or 2 cm grid
pattern was placed over the photocopy.
The number of intersections between the grid and roots were counted and
root length estimated using the protocol outlined by Tennant (1975).
Growth analysis
Efficiency of DM and N
assimilation per fraction of DM allocated to roots and nodules was calculated
by modifying the equation for unit leaf rate (Hunt, 1982). The DM or N increment during a given growth
period was divided by the average root plus nodule weight over the same time
period; d(DM)/[(R1+R2)*(T2-T1)/2], where T is time and R1 is the weight of
roots plus nodules at time 1.
The above formula was
used to estimate soil mineral N influx into legume roots (Nflux). Incremental increase in Nflux (total N
accumulated minus N from fixation) was divided by average root length during
the period to determine N influx per root length. R1 in this equation is the average of root length over the two
depths (0-25cm and 25-50 cm).
Root surface area (RSA)
was calculated using equations derived from Hallmark and Barber (1984):
Fresh weight of roots was
assumed to have e density of 1.0 Mg m-3 to calculate volume.
r is radius = (V/πL)1/2
where L is root length
RSA= 2πrL cm2
root cm-3 soil
Roots (excluding root
crown) were placed between two paper towels to which a 525 g weight (plastic
flask filled with water) was applied for 30 seconds. Then fresh weight was
measured.
RESULTS AND DISCUSSION
Root weight, RSA and root
length density (RLD, cm root cm-3 soil) are interrelated. Thus, it follows that an increase in one
will result in an increase in the others.
An increase in RSA,
similar to mycorrhizae associations, results in a greater area over which
essential nutrients are absorbed. Thus,
changes in RSA, as affected by N
availability are important in the
understanding of mineral nutrition of all plants.
Effect of fertilizer N on N2
fixation and N assimilation
This study was to
identify plant characteristics associated with increased N assimilation by
legumes less dependent on N2 fixation compared to legumes relying
primarily on N2 fixation as an N
source.
Two experiments were conducted in which mineral N was applied to the soil
to create different levels of N2 fixation. Plants in the N0 treatment (0 kg applied N ha-1) were
more reliant on N2 fixation than plants in treatment N1 (225-256 kg
applied N ha-1).
The effect of N on N2
fixation was described in chapter 2 and is summarized in the following
paragraph. In 1991 and 1993, N2
fixation by peanut, soybean and common bean increased as legume plant phonology
went from early to late vegetative to reproductive stages and with a decline in
available N. The magnitude of suppression
of N2 fixation by N fertilizer application was greatest in common
bean and the least in peanut. The effect of N fertilizer application was
consistent for soybean across years and across three legume species.
Imsande (1989) reported
soybeans supplied with mineral N in solution culture accumulated less N than
plants relying on N2 fixation.
Imsande’s findings were not supported by the data collected in our field experiments. When N2 fixation was suppressed by the addition of
mineral N there was a significant increase in the quantity of N assimilated
across all species in 1993 and in both years for soybean (Table 3.1). Similar responses have been reported for
peanut (Selemat and Gardner, 1985), soybean (Alloy and Bartholomew, 1959;
George and Singleton, 1992) and common bean (George and Singleton, 1992).
The effect of N
application on N assimilation was statistically significant as early as 10 days
after emergence (DAE) and continued throughout the growth cycle of all the legumes. The increase in N accumulation at 10 DAE
indicated that soil N was not sufficient to meet plant requirements even in
very early crop growth. The data
collected in this experiment indicate N deficiency in nodulated legumes can
occur prior to 10 days after emergence (DAE) for the three legumes grown.
The majority of N
accumulation, by all three species, occurred during the reproductive phase and
is consistent with data collected by George and Singleton (1992). The percentage of final shoot N accumulated
by 23 DAE (1993) was 5, 11 and 12% for peanut, soybean and common bean
respectively. The magnitude of the increased N accumulation in response to
applied N was significantly different across species. The average increase in total plant N, in response to applied N,
was 8, 17 and 27% for soybean, peanut and common bean, respectively, averaged
for the first three harvests (l0, 23 and 44 DAE). The stage of growth with the greatest relative increase in N to
applied N was V5 for soybeans in both years, R3 for peanut and R5 for common
bean (44 DAE). At 10 DAE peanut had the
greatest accumulation of N, probably due to seed weight and N content in the
seeds. In 1993 at 23 and 44 DAE,
soybean had accumulated the most N and also had the highest level of
N2 fixation (reported in chapter 2). The differences in uptake indicate genetic differences across
species in N demand and N assimilation.
Effect of fertilizer N on
root growth and morphology
Nodule growth was
adversely affected by application of mineral N across all species and both
years for soybean (Table 3.2). This
supports the conclusions of other researchers (Abaidoo et al., 1990; Thies at
al., 1991a; Streeter, 1988). The
average decline in nodule weight across the first three harvests in 1993 was
70, 56 and 30% for peanut, soybean and common bean.
In 1991, application of N
significantly increased soybean root weight by an average of 21% at 22 and 51
DAE. In 1993 at 10 DAE both root and
nodule mass of all the species were suppressed by N application. In the same year (1993) at 23 (V5) and 44 DAE (R5), N application promoted root growth
by an average of 15% as compared to the N0 treatment: 12, 13 and 21% for soybean,
peanut and common
bean,
respectively.
Plants that were less
reliant on N2 fixation (N1) were more efficient at N uptake per gram
of DM allocated to roots and nodules.
In 1991, soybeans to which N was applied accumulated 37 and 42% more
total DM and N, respectively, per unit DM allocated below ground than soybeans
to which no N was applied (Table 3.3).
A similar trend was measured for DM and N in 1993 at 10, 23 and 44 DAE for
all three species. The increased
efficiency of DM accumulation averaged across harvests was 13% greater for
peanut and soybean and 25% greater for common bean than their respective N0
controls. The relative increase in
efficiency of N accumulation was 18, 16 and 49% for peanut, soybean and common bean, respectively, in the
N1 compared to N0 treatment. These
findings indicate that increased soil N availability resulted in increased
efficiency of DM and N accumulation.
The efficiency of DM and N assimilation were highly correlated (r=0.89)
across all harvests.
Adding fertilizer N
increased the quantity of mineral N (total N assimilated N derived from N2
fixation) taken up per length of root (Nflux [Table 3.4]) at all harvests,
across all species in 1993 and over two years for soybean (except at 23 DAE in
1993). In 1991, the rate of Nflux was twice as much in N1 than N0. In 1993, the relative increase in the
Nflux for N1 versus N0 was 28, 58 and 82% for peanut, soybean and common bean
respectively. George and Singleton
(1992) hypothesized that N accumulation increases in legumes to which N
has been applied are a result of higher soil N concentrations as well as
increased root surface area. Data
presented in the following paragraphs support this hypothesis.
In 1991, the length of
root per mg of root (RL, cm mg-1) was greater for the treatments to
which N was applied as compared to soybean grown at native soil N at 22 DAE
(Table 3.5). This was not the case at
51 DAE in 1991. In 1993, there was no consistent
trend in the response of RL to applied
N within species. The mean RL across
treatments and harvests in 1993 was 18, 27 and 29 cm mg-1 for
peanut, soybean and common bean respectively. The low RL of peanut combined with low root weight, resulted in
peanut having the lowest RLD (Table 3.6) compared to common bean and
soybean.
In 1991, RLD of soybean
increased when N2 fixation was suppressed, by N application, at bath
22 and 51 DAE. This response agrees
with measurements made in pot studies done by other researchers (Weber, 1966;
George and Singleton, 1992). In 1993, the trends were the
same for all species at 23 and 44 DAE.
There was, however, a decline in RLD at 10 DAE with N application
reflecting lower root growth at that time.
Thus, the response of legume roots to elevated levels of soil N changes
over time. At 10 and 23 DAE soybean had
the greatest RLD in the upper 25 cm soil layer. At 44 DAE the average RLD (pooled across N treatments) was 2.65,
1.87 and 1.00 cm cm-3 for common bean, soybean and peanut respectively.
Response of RSA was
similar to RLD and root weight (Table 3.7).
At 10 DAE, the average decline in RSA across species to applied N was
24%. Thereafter the average increase in
RSA to applied N was 17, 29 and 34% for peanut soybean and common bean,
respectively. Greater RSA and N uptake
per unit DM allocated below ground (due to greater available soil N [Table
3.8]) accounts for measured increase in N assimilation in N fertilized plots.
Increased N assimilation per length of root was most likely due to increased
available soil N. Mugiwara et al.
(1980) reported an increase in the rate of N uptake in triticale, wheat and rye
as the level of solution nitrate increased.
Summary and conclusions
The decline in root mass
at 10 DAE for legumes less reliant on N2 fixation accounts for their
increased allocation of DM to leaves described in Chapter 2. Despite the lower root weight there was an
increase in assimilated N in the N1 treatment as a result of greater N uptake
per unit DM below ground.
The response of N
accumulation, root growth and root structure to N were consistent for soybean
across two years and across the three legume species (peanut, soybean and
common bean). Increased RSA due to
greater root mass, and greater N uptake per DM below ground were the main
reasons for the greater N accumulation in legumes less reliant on N2
fixation to meet N demands. These
effects occurred from the early vegetative stages and continued to mid-podfill.
Dinitrogen fixation was
suppressed least in peanut by N application as compared to soybean and common
bean. Of all the species common bean
had the overall greatest relative increase (N1/N0) in N accumulation, DM and N
uptake per unit DM below ground, mineral N uptake per length of root and RSA to
N application. This may account for N2
fixation in common bean being suppressed the most of all the species. The response of species to N application was
the same (demonstrated by the non-significant interaction between N and legume
species).
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CHAPTER 4
TESTING CROPGRO V3.0 SIMULATION
OF LEGUME
GROWTH WITH DIFFERENT LEVELS
OF APPLIED NITROGEN
ABSTRACT
The mode of nitrogen (N)
nutrition has
a
differential effect on legume growth and development. Thus, to accurately predict legume growth simulation models
should be sensitive to available soil N.
CROPGRO V3.0 is a mechanistic simulation model that has included a N
balance sub-model to simulate N demand, soil N uptake and N2
fixation. CROPGRO simulates growth of
three species of legumes (soybean, peanut and common bean) and cultivars within
the legumes by inputing genetic coefficients at the species and cultivar level. The aim was to test the ability of CROPGRO
to model legume growth under different levels of soil N. In 1993, an experiment was designed to
generate data and theory that can be used in the process of model
development. In 1993, soybean (Glycine
max Merr. (L.) cv. Clark), peanut (Arachis hypogaea cv. Pronto) and
common bean (Phaseolus vulgaris cv. Porillo Sintetico), were grown with
two levels of applied soil N: 0 and 275 (375) kg N ha-1. Plant samples were collected at 10, 23, 44
days after emergence (DAE) and harvest maturity. Leaf area, and weights and N concentration of leaves, cotyledons,
stems, roots (plus nodules) and pods were measured at the three first
harvests. At harvest maturity weight
and N concentrations were measured for shoots and seed. Between 10 and 44 DAE, total N accumulation
had an average increase of 19 and 16% when N was applied for CROPGRO and field
data, respectively. Between 10 and 44
DAE, observed above ground dry matter (DM) accumulation increased by an average
of 15% with N application, while simulated DM accumulation was, for the most
part, unresponsive
or produced
lower values. The cause of this lack of
simulated DM response to N application is not clear. Observed and predicted seed yield were in closer agreement. Simulated seed yield increased primarily as
a result of greater harvest index (HI) with
application of N. In the field N application
increased grain yield as a result of greater DM accumulation and not HI. The consistency of legume growth response to
N application across species and time justify changing CROPGRO’s response to N
application. Increased grain yield with
N application should be a result of greater DM accumulation. Greater DM should be due to greater leaf area
development from the early vegetative stages.
As long as available soil N is sufficient to decrease N2
fixation differences in leaf area should be maintained throughout crop
growth.
INTRODUCTION
Since mode of N nutrition
affects legume growth (Chapter 2) legume simulation models should be sensitive
to available soil nitrogen (N). Ritchie (1994) defined three types of
simulation models: statistical which use recorded trends, functional which use
simplified versions of plant processes, and mechanistic which incorporate major
plant processes. CROPGRO V3.0 is a mechanistic model.
Mechanistic models
attempt to consolidate existing data on physiological processes (Ritchie,
1994). Empirical data are synthesized
into a hypothesis (Ritchie, 1994) which is subsequently used to develop an
algorithm. Algorithm calculations use values derived from a single or multiple
sources such as, genetic and environmental data and previous model
computations. The result is an estimate
of some physiological process in response to input variables. CROPGRO simulates many physiological
attributes of crops and the soil environment such as water content, and
available N.
CROPGRO is comprised of
three legume
models. These legume models are modified versions of
previously released legume models: SOYGRO (soybean simulation model by Jones et
al., 1989), BEANGRO (common bean simulation model by Hoogenboom at al., 1991a)
and PNUTGRO (peanut simulation model by Boots et al., 1989) (Hoogenboom et al.,
1993). CROPGRO simulations are not for
a generic legume. To simulate one of
the legumes (peanut, soybean or common bean) a user first selects the species
to be simulated then the cultivar. Each
selection inputs a file containing genetic coefficients for growth and
development which
are specific
to the species and cultivar.
The three legumes
simulated by CROPGRO are among the most important of the world’s crops,
especially soybean and peanut which have multiple uses. There are substantial physiological and
field experimental data available for these three crops. Comparing model simulations to observed data
can test model hypotheses and identify areas requiring further research and
adjustment. Simulations of crop growth
could improve decisions by predicting crop performance under changing farming
practices and environments. For use in
decision making it is imperative that legume growth and development are
accurately simulated under a variety of conditions including different levels
of available soil N.
Plant processes that most
influence growth are included in simulation models. In CROPGRO growth is based on carbon (C), water and N balances (Hoogenboom et, al., 1992). Experimental evidence of legume response to available N is
not consistent. It has been shown in
solution culture studies, however, that on a whole plant level N2 fixation uses more C than plants dependent on uptake of soil N in
solution culture studies (Pate et al, 1979; Ryle et al., 1979; Finke et al.,
1982). Their studies plus data in
Chapters 2 and 3 show that peanut, soybean and common bean can be N limited,
when dependent on N2 fixation for a significant amount of total N.
This is demonstrated by an increase in dry matter (DM) accumulation, like
non-legumes, when available soil N is greater and N2 fixation
declines (Allos and Bartholomew, 1959; Thies et al., 1991b; George and
Singleton, 1992; Chapter 2). This
differential effect of mode of N nutrition on whole plant growth must be
included in legume simulation models.
Soil type, climate and
crop management are all influential on soil N content, and subsequently the
level of N2 fixation in a legume.
Thies et al. (1991b) measured a range from 15 to 82% of soybean N
derived from N2 fixation under natural conditions at several field
sites. Thus experiments were designed
to induce different levels of N2 fixation by applying fertilizer
N. At higher levels of soil N the
legumes fixed significantly less N2.
One major difference
between CROPGRO and the individual legume models (SOYGRO, BEANGRO and PNUTGRO),
that form the basis of CROPGRO, is the incorporation of a N sub-model.
Two other simulation
models also account for N2 fixation by legumes: a soybean model
developed by Sinclair (1986) and; Epic (Williams, 1983). In Sinclair’s (1986) model, N2
fixation is a linear function of vegetative biomass. In Epic, crop N assimilation requirements are estimated from the quantity
of N required to raise plant N concentration to then optimum level for each
growth stage (Bouniols et al., 1991).
The fraction of daily N requirements, in EPIC, supplied by fixation is based
on stage of development, water stress and soil mineral-N content.
In CROPGRO, N demand is based on growth
mite, N concentration and N
needed to re-fill N mined from old tissue.
At present the model assumes that remobilized N can be replaced to the
previous maximum N content defined in the species file (Jones et al.,
unpublished). To satisfy N demand the
model simulates N assimilation from soil N, remobilization and N2
fixation. If N from soil uptake and
remobilization is inadequate to meet N demand for new growth, N2
fixation will occur. The level of N2
fixation is dependent on the crop demand for N, available plant C, soil temperature, aeration and nodule
mass (Hoogenboom et al., 1993).
The previous chapters
indicated that the directional response of soybeans to N application were similar
in 1993 and
1991. The response of N and DM
accumulation and partitioning were also similar in all three legumes (Chapter 2
and 3). Testing all three species would
determine if the trends in the simulated legumes are as consistent across
species as field observations.
This paper has two
aims. The first is to test agreement
between observed and CROPGRO predicted values for DM and N accumulation of the
three component
legumes. The second is to make
recommendations for further development of CROPGRO. A
single data set can indicate flaws in model concepts, however, many data sets are needed to develop
coefficients. Thus recommendations will
be at the conceptual level on a whole plant basis.
MATERIALS AND METHODS
Treatments, plant culture
and data collected are described in Chapters 2 and 3.
Model description
To simulate growth of a
legume, CROPGRO requires daily inputs of solar radiation, minimum and maximum temperature and
rainfall. In a management file, used to
simulate legume growth, values for initial soil N up to 25 cm, initial moisture
content and planting time, depth and density were stipulated. The schedule for irrigation and fertilizer N
application were also included in
the management file.
The N sub-model included
in CROPGRO is a modification of the CERES-Wheat N balance developed by Godwin
et al., (1989). A N2
fixation component was included in the N sub-model to simulate legume N
assimilation (Hoogenboom et al., 1993).
This sub-model simulates leaching of soil N, accumulation of N in the
soil, and crop N demand and N accumulation.
Net photosynthesis,
allocation of photosynthate to different plant parts and respiratory costs for
growth and maintenance of different tissue influence legume growth in CROPGRO
(Hoogenboom, 1992). Photosynthesis is
determined by solar radiation, daily temperature, LAI, N content of
the leaves, specific leaf area (SLA), plant water deficit, and row and plant
spacing (Hoogenboom, 1992).
Phenology
The confounding effect of
different phonological stages on comparison of values between observed and
predicted were eliminated. Prior to
testing CROPGRO, the simulated and measured phenological values of emergence and R1 (start of flowering)
were compared. When there was a
significant disagreement between the two, input parameters controlling legume
phenology for the species in question were modified.
The genetic coefficients
controlling phenology of common bean and peanut did not need adjustment. In
both cases emergence was accurately predicted and R1 was two days earlier than
observed in
the field. For soybean, however, coefficients in the
ecotype and cultivar files required modification. In the former file the time from planting to emergence was
reduced from 3.6 to 2.0 and in the latter the time from emergence to flowering was
increased from 18.0 to 20.0.
CROPGRO creates a number
of simulation files. These files
contain a wide range of information on aspects of crop growth and the
environment such as, N accumulation, water and N stress, as well as soil conditions
moisture and available N. Values from
the ”growth.out” and “nitrogen.out” (Tsuji, Uehara and Balas, 1994) files were used for comparison to field
data.
RESULTS AND DISCUSSION
To estimate yield CROPGRO
simulates physiological processes using theory incorporated during model
development. The following section
compares CROPGRO and field measurements to determine the validity of the theory
included in the model.
N accumulation
The field data showed
that there was a significant increase in N accumulation (N from N2
fixation and uptake of soil N) in response to N application (Table 4.1). Nitrogen accumulation simulated by CROPGRO
was far less responsive to N fertilization than field data during the
vegetative stages (10 and 23 days after emergence [DAE]). At 44 DAE, however, simulated N accumulation
values increased with N application by an average of 33% across species,
compared to a 21% increase for observed values. The overall predicted trend, however, of an increase in N
accumulation when N is applied agrees with field data and previous studies
(George and Singleton, 1992; Thies et al., 1991b).
At 10 DAE, simulated
values for N accumulation were lower than observed values for all three legume
species tested. The simulation values
for N accumulated, averaged over species, was twice than the observed values at 23
DAE. At 44 DAE simulated values for
total N accumulation were 12 and 39% greater than observed for peanut and
common bean, respectively. For soybean
at 44 DAE, however, simulated N accumulation was 16% lower for the N0 treatment
and 2% higher for N1 treatment compared to the observed values.
Application of N reduced
N2 fixation for all species at all three time points in the
field. The quantity of N derived from N2
fixation predicted by CROPGRO was 15% of observed values averaged for all three
species at 44 DAE (Table 4.2). In each
species application of N reduced predicted N2 fixation at different
times. The first reduction in predicted
N2 fixation with an application of N occurred at 10, 23 and 44 DAE
for common bean, peanut and soybean, respectively.
There was an increase in
simulated uptake of soil N when N was applied to the soil. In fact, CROPGRO simulated that the majority
of crop N was derived from the soil, hence, the low values for N2
fixation. At 23 and 44 DAE, the
simulated values were on average 75% greater than the value measured in the
field averaged over N treatments and species.
At 44 DAE, uptake of soil N was 49% greater in the simulated values than
observed (Tables 4.1 and 4.2).
Measured initial nitrate and ammonia values were high in the first 25
cm soil layer: 26.73 and 6.23 ug g-1, respectively, due to wetting
and drying and weed free environment prior to planting. Estimates of available soil N at 10, 23 and
44 DAE, from KCl extractions (for plots to which no N was applied), were much smaller than the values simulated by
CROPGRO (data not shown). This may
indicate that estimated losses of mineralized N were smaller than
observed. There is insufficient data
from this experiment to test leaching values in the model. Disagreement between observed and predicted
values of soil N concentration indicates a need for further development of
factors affecting available soil N before accurate predictions of N2
fixation and mineral N assimilation can be made.
Root and nodule growth
CROPGRO values for root
weight were higher than observed values for all species at 10 and 23 DAE and
peanuts and soybean at 44 DAE (Table 4.3).
At 44 DAE, simulated root weight for peanut and soybean was almost three
times the value measured in the field, while simulated N uptake was 25% greater
at the same time point. The large
difference in the magnitude of simulated root growth to simulated N uptake
indicates that the models predictions of N assimilation per gram of root was less in
peanut and soybean than measured in the field.
The opposite occurred for common bean.
Simulated N uptake in common bean was 68% greater than field data,
however, simulated root weight was 20% less than measured at 44 DAE. Thus the effect of N application on assimilation of N per gram of root is not
the same across all legume species in CROPGRO.
Previous work has shown
that in response to N application there is a decline in nodule weight and an increase
in root weight (George and Singleton, 1992; Chapter 3).
At 10 and 23 DAE, there was no effect of N application on simulated root
weight. At 44 DAE, simulated
root weight declined on average of 5% across species with application of N. In comparison,
measured root weight at 44 DAE increased with N application by an average of 17%
across species.
In the field it was a few
days before nodules were visible or measurable CROPGRO, however, simulated
nodule weight from the first day of emergence. Thus, despite the low CROPGRO
values of N2 fixation most simulated nodule weights (Table 4.4) were greater than the
measured data at 10 DAE. There was a
decline in simulated nodule weight between 10 and 23 DAE, and an increase between
23 and 44
DAE. Simulated nodule weights at 44 DAE, however, were 45 and 3% of the values
measured in the field for treatments N0 and N1, respectively. These low values corresponded to the low estimates of the
quantity of N derived from N2 fixation.
Simulated nodule weight
in the N0 treatments declined during the start of the vegetative stage and
increased at the end of that stage and over the reproductive period. For N1, simulated total nodule weight declined from emergence to harvest
maturity, for all species. In contrast measured nodule weight showed
that there was a steady increase in nodule weight over time, for both N treatments. Both observed and predicted nodule weight
values declined with added N. This
indicates that there is a feed back mechanism in the model, similar to the plant, that restricts nodule
growth with N application.
Calculated values of N
accumulation per gram dry matter (DM) below ground (NADM, Roots plus nodules)
increased with applied N for both observed and predicted values.
The similarity between observed and predicted NADM should be treated
with caution. The resemblance of
CROPGRO NADM to field measurements was due to an increase in simulated N
accumulation and no increase or lower simulated root weight with application of
N. Consequently, combining two
simulated variables may mask simulation problems of each variable.
Above ground dry matter
Although predicted values
of N accumulation increased with applied N (Table 4.1), simulations of above
ground DM (Table 4.5) were either unresponsive at 10 and 23 DAE or lower with application of N at 44
DAE. Lower DM with N application was
opposite to trends observed in the field and by other researchers (Thies et
al., 1991b; George and Singleton, 1992).
Nitrogen yields at 44 DAE were 20% greater than N0 while CROPGRO
predicted an 8% decline in above ground DM when N was applied.
Predicted leaf weight was
lower with application of N, similar to above ground DM (Table 4.6). CROPGRO had much higher values of leaf
weight compared to observed values for all species at 23 DAE and for peanut and
soybean at 44 DAE. In response to N
application field data showed an increase in above ground DM, leaf weight and
leaf area index (LAI) (Table 4.7) beginning at 10 DAE. The consistent and significant increase of
these measured variables to N application indicated that all three legume
species were N deficient (Chapter 2).
In most cases the CROPGRO values of above ground DM, leaf weight and LAI
were the same or lower for both N treatments.
Despite the decline in simulated leaf weight, with applied N, for soybean and common bean there was a small
increase in predicted LAI at 44 DAE for soybean and common bean (Table 4.7).
Of the parameters included in the photosynthesis
routine solar radiation, temperature, plant water deficit and row and plant spacing
were the same for both N treatments in addition, the field data showed no
significant increase in SLA with N application (Chapter 2). Thus,
in this study only two variables in the
photosynthesis subroutine were affected by N application: leaf N content
and LAI.
For both simulated and
measured data total leaf N increased with application of N (Table 4.8). At 44 DAE, the increase in total leaf N with
application of N was 23% in the field data and 39% for the simulated values. Nitrogen application increased observed leaf N
as early as 10 DAE while CROPGRO simulated values did not respond until
the reproductive stage at 44 DAE.
In CROPGRO the model uses
C to convert assimilated N (from the soil or N2 fixation) to
protein. Dinitrogen fixation in CROPGRO
also uses C for growth and maintenance of nodules, this is an additional carbon
cost compared to soil N uptake. This
greater allocation of C to N2 fixation agrees with whole plant
studies on the carbon cost of N2 fixation (Ryle et al., 1979; Pate,
1979; Finks et al, 1982). Yet CROPGRO is simulating a decline
in above ground DM with application of N.
It was not clear as to
why simulated N accumulation increased and above ground DM declined with
application of N. It follows that if
there is a reduction in above ground DM weight there should be a corresponding
reduction in total N. It appears that
at higher levels of available soil N the model increased the quantity of N required for legume
growth i.e. N concentration. Calculation of leaf N
concentration using data from tables 4.7 and 4.9 agree with the above
statement. A decline in above ground DM
was also simulated when initial soil N values were input at half of what was
measured. Thus lower DM accumulation in response to N application
would also be simulated in areas with lower initial N values.
Simulated above ground DM
of N0 was greater than N1 for common bean and soybean, from the start of the
reproductive stage. At harvest
maturity, however, simulated above ground DM was greater in the N1 treatment
than the N0 (calculated from Table 4.9).
Yield
There was an increase in simulated and observed grain yield with an application of N (Table
4.9). Predicted grain yields of peanut
(N0 and N1) and
soybean (N0)
was only 69% of observed values.
CROPGRO simulated a higher value for yield of soybean N1 and both N
treatments of common bean by an average of 23% compared to field data.
Greater yield in CROPGRO in response to N
application was due to greater partitioning of accumulated DM to reproductive
tissue. Previous research (Jeppson, et
al., 1978; Egli, 1988) demonstrated that the fraction of DM allocated to reproductive soybean
tissue is conservative i.e. despite changes in the environment the harvest
index (HI, grain yield divided by total above ground DM) will not change. Thus, environmental conditions that result
in increased above ground DM will result in increased yield (Egli, 1988). Data presented in chapter
2 agreed with the above studies. It
also showed that the hypothesis of HI remaining the same across N treatments
holds for both peanut and common bean.
Thus, the change in simulated HI with N application is not
accurate. CROPGRO should simulate
greater yield with application of N as result of greater above ground DM and N
accumulation.
Summary
This chapter compares
CROPGRO’s ability to simulate growth of three legumes at two levels of soil N. The lack of increased simulated above ground DM with N
application plus low estimates of N2 fixation for both N treatments suggests that
there is little difference in the N conditions for the legumes simulated. Simulated grain yield, however, for all the
legume species were substantially greater with N application. This was primarily due to greater
HI with application of N. This effect of N on HI was not
observed in the field data.
The three legume species
and soybean over two years had similar directional responses to applied N (Chapters 2 and 3). The consistency in the response across
species and time indicate that greater legume growth with N application are
real and repeatable. Based on this
evidence CROPGRO should make adjustments to simulation of legume growth in
response to soil N to
better correspond to field observations reported in this chapter and previously
published literature.
CROPGRO should simulate an
increase in grain yield with application of N as a result of more DM
accumulation compared to unfertilized plots.
This
greater DM accumulation should be a
result of greater partitioning of DM to leaves during the early vegetative
stages. Maintenance of elevated soil N
levels throughout crop growth should result in greater LAI and DM compared to
unfertilized plots. Greater DM
accumulation should corresponded to greater levels of total N with N application. Greater N accumulation should be a result of
greater NADM and root weight at elevated levels of soil N.
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Chapter 5
SUMMARY AND CONCLUSIONS
The fraction of total
legume nitrogen (N) derived from the soil or the atmosphere (dinitrogen fixation) is determined by the
level of crop N demand and the
level of available soil N. With an
increase in soil N, the quantity of crop N derived from N2 fixation
will decline. Solution culture studies
of legume roots obtaining N via nodules or solution found mineral N
assimilation had less respiratory cost than N2 fixation. Thus, a reduction in N2 fixation should result in more
photosynthate available for shoot growth and
N accumulation. The literature, however, reports mixed results of the effect of
applied N on legume growth and grain yield.
Nutrient solution and
potted soil studies have demonstrated that changes in root mass and root
morphology result in greater uptake of N in plants less dependent on N2
fixation. There are, however, no
comprehensive field studies testing the whole plant mechanism as to why there
is greater DM and N accumulation in legumes less dependent on N2
fixation.
Two experiments, the
first in 1991 and the second in 1993, were designed to test whether:
l. increased dry matter (DM) partitioning to
legume leaves is the primary factor determining increased shoot weight in
plants less reliant on N2 fixation.
2. suppression of N2 fixation by
application of N would result in increased root mass, root surface area and
efficiency of N assimilation per gram of root.
3. the nature of legume response is similar
across species.
Detailed field data of
legume response to N application could be used to improve the precision of crop
simulation models such as CROPGRO V3.0.
Simulation models predict crop growth on a daily basis. Predictions are derived from a series of
linked algorithms describing plant growth processes and the environment. These algorithms are based on theory generated by both
field and greenhouse experiments. The
data collected and reported in this thesis were used to test the ability of
CROPGRO to simulate legume growth under different soil N conditions.
In 1991, soybeans were
grown at three levels of applied N: 0 (N0), 256 (N2) and 430 (N2) kg N ha-1
and sampled at 22 and 51 days after emergence (DAE). In 1993, three legumes
soybean: (Glycine max Merr. (L) cv. Clark), peanut (Arachis hypogaea
cv. Pronto) and common bean (Phaseolus vulgaris cv. Porillo Sintetico),
were grown at two levels of applied soil N: 0 (N0) and 225 (N1) kg N ha-1. Plant samples were collected at 10, 23 and 44 DAE. Weights of
shoots, roots and nodules were estimated at each sampling time. Samples collected were analyzed for N
concentration and root length was determined.
Site characteristics and management regimes such as: irrigation,
weather, soil characteristics
and cultivars were entered into the CROPGRO model to generate predicted
values. Model parameters determining phonology were adjusted so that observed
and predicted days to seed emergence and first flower where the same.
Nitrogen was added to the
soil to alter the relative dependence on N2 fixation for N
accumulation. Estimation of N2
fixation using the difference method showed that application of fertilizer
nitrogen at regular intervals resulted in a suppression of N2
fixation, compared to unfertilized plots, throughout the duration of the
experiments. Although magnitudes
varied, DM and N accumulation of all species increased with fertilizer N. Plants less dependent on N2
fixation had greater grain yield and above ground DM at harvest maturity. A significant increase in DM in response to
applied N was measured from 10 days after emergence (DAE) and throughout crop
growth. This indicates legumes were undergoing N stress prior to 10 DAE. Response of legumes to available soil N as
early as 10 DAE is influential in determining differences in crop growth. At 10 DAE in 1993 and at 22 DAE in 1991,
legumes partitioned a greater proportion of their total DM to leaves. Increased allocation of DM to leaves during
early vegetative stages resulted in greater leaf area. The N1 treatment maintained throughout
higher leaf area crop growth and resulted in greater DM accumulation by plants
less dependent on N2 fixation.
Across species and in
both years, soybean plants in N1 plots had half the nodule weight of N0
plants. Thus, as N2 fixation
(and nodule weight) was suppressed, N accumulation increased by 17% compared to
plants more dependent on N2 fixation. At 10 DAE, root growth of all species in N1 plots was lower than
those in N0 plots. Less root and nodule
weight, at 10 DAE, in plants less dependent on N2 fixation may
account for the increased partitioning of plant DM to leaves during the early
vegetative stages. For the other
harvests, plants less dependent on N2 fixation had a greater root
weight than plants more dependent on N2 fixation. Therefore
increased efficiency of N accumulation per unit root weight, and increased root surface
area due to greater root weight were the main factors accounting for an
increase in total plant N.
Increased biomass, yield,
root weight, root surface area and uptake of N, by N-fertilized plants of all
three species demonstrates that growth of legumes more dependent on N2
fixation can be limited by N assimilation. The effect of available soil N on legume growth indicates that
legume simulation models should be sensitive to available soil N.
CROPGRO is a combination
of three legume models: PNUTGRO (a peanut model), SOYGRO (a soybean model) and
BEANGRO (a common bean model). The
model does not simulate a generic legume.
Selection of species and then cultivar files will input genetic
information unique for the
cultivar being simulated. In addition
to genetic parameters the model requires input of the following: daily weather,
initial soil N and moisture content, water and N application schedule and
selection of a soil file containing parameters for the soil on which the crop
was grown. Simulations of legume growth
by CROPGRO is responsive to soil N.
CROPGRO simulates N assimilation from three sources for legume growth:
soil N uptake, remobilization and N2 fixation.
A review of several
CROPGRO simulations showed that the model estimates 19% more N accumulation
with an application of N. There was a
decline in simulated N2 fixation and nodule weight with N
application, similar to field data.
Simulated shoot and root DM accumulation, unlike field data, was
unaffected or lower when N was applied.
Grain yield, however, increased with N application primarily as result
of greater harvest index (HI) compared to the unfertilized plots. No change in HI was observed with N
application in the three field grown legumes. Thus,
CROPGRO needs to be modified to increase DM production with an increase in N
availability and accumulation. CROPGRO
coefficients need to be changed so that leaf area and subsequent DM
accumulation increase with N availability.
Greater leaf area, and leaf weight, should be due to more partitioning
of DM to leaves with an application of N starting from the early vegetative
stages. Greater yield should be
simulated as a result of greater DM accumulation with the same harvest index as
legumes simulated at native levels of soil N.
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The enzyme mix contained
the following: 45 mls distilled water, 5 mls of 0.1 M acetate buffer, 2.5 mls
invertase concentrate, 1.25 g amyloglucosidase and 0.1 g thymol.
The alkaline reagent contained the following: 25 g anhydrous sodium carbonate, 25 g potassium sodium
tartrate, 20 g sodium bicarbonate and 200 g anhydrous sodium sulfate in 700 ml
distilled water. Then 6 g of cupric
sulfate pentahydrate was dissolved in 40 ml distilled water followed by one drop
of concentrated sulfuric acid. The two
solutions were combined.
The arsenomolybdate
solution contained the following: 25 g of ammonium molybdate tetrahydrate in
450 ml distilled water, then 21 mls of concentrated sulfuric acid while stirring. Then 3 g of sodium arsenate was dissolved in 25 mls of distilled
water. The solutions were combined in a
brown bottle and incubated at 370C for 24 hours.
The acetate buffer was
made from the following two solutions, 0.2 M
acetic acid and 0.2 M sodium acetate.
For the acetic acid solution, 11.6 ml of glacial acetic acid was added
to 500 ml of distilled water, cooled and water added to make up 1 liter. For the sodium acetate solution, 16.4 g of
anhydrous sodium acetate was dissolved in a liter of distilled water.
For the 0.2 M buffer, 300 ml of 0.2 N acetic
acid was combined with 200 ml sodium acetate and adjusted to pH 4.5 using
either stock solution. The solution was
kept refrigerated. To make the 0.1 M
acetate buffer the 0.2 M solution was appropriately diluted.
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