Vol.1, No.3, 110-118 (2010) Agricultural Sciences
doi:10.4236/as.2010.13014
Copyright © 2010 SciRes. Openly accessible at http://www.scirp.org/journal/AS/
Soybean seed protein, oil, fatty acids, N, and S
partitioning as affected by node position and cultivar
differences1
Nacer Bellaloui*, Anne M. Gillen
Crop Genetics Research Unit, USDA-ARS, Stoneville, USA; * Corresponding Author: nacer.bellaloui@ars.usda.gov
Received 6 July 2010; revised 21 August 2010; accepted 24 August 2010.
ABSTRACT
The mechanisms controlling the partitioning of
seed composition constituents along the main
stem in soybean are still controversial. There-
fore, the objective of this study was to investi-
gate seed protein, oil, and fatty acids partition-
ing in soybean cultivars along the main stem.
The cultivars were DT97-4290, maturity group
(MG) IV; Stressland, MG IV; Hutcheson, MG V;
TracyM, MG VI. Seeds were harvested based on
position on the plant (top nodes, middle nodes,
and bottom nodes). At R8 (physiological matur-
ity stage), DT97-4290, Hutcheson, and Stress-
land had higher percentage of protein and oleic
acid and lower percentage of oil and linolenic
acid in top node seed compared with bottom
node seed. The increase of protein in top node
compared with the bottom node across the two
experiments ranged from 15.5 to 19.5%, 7.0 to
10.5%, 14.2 to 15.8%, 11.2 to 16.5%, respectively
for DT97 - 4290, Hutcheson, Stressland, and
TracyM. Except for TracyM, the increase of oleic
acid in the top node ranged from 45.4 to 93%,
depending on the cultivar. Conversely, the de-
crease in the top node seed ranged from 14.4 to
26.8% for oil and from 5.7 to 34.4% for linolenic
acid, depending on the cultivar. The partitioning
trend of seed composition constituents at R6
(seed - fill stage) was inconsistent. Except for
Stressland, seed oleic acid was higher at R6
than at R8. The higher protein and oleic acid
concentrations in the top node seed was accom-
panied by higher activity of nitrate reductase
activity, higher chlorophyll concentration, higher
nitrogen (N) and sulfur (S) percentages in the
fully expanded leaves at R5-R6 growth stage,
and higher seed nitrogen (N) and sulfur (S)
percentages in DT 97-4290 and Stressland. The
current research suggests that the partitioning
of seed protein, oil, and fatty acids in nodes
along the plant depended on the position of
node on the main stem, cultivar differences,
seed N and S status, and tissue N and S parti-
tioning. The higher nitrate reductase activity at
the top nodes, accompanied higher protein and
oleic acid, and the changes of oleic acid at R6
and R8 along the stem, were not previously re-
ported, and need further investigation. The cur-
rent knowledge is useful for soybean germplasm
selection for desirable traits such protein and
oleic acid, and for accurate measurements of
seed composition constituents in breeding lines.
Keywords:
Seed Composition; Nitrogen Assimilation;
Soybean; Nitrogen; Sulfur
1. INTRODUCTION
Soybean seed is a source of protein and oil for human
nutrition and a source of soybean meal for livestock feed.
Soybean protein meal and soybean oil accounted for
69% and 30%, respectively in 2006 and 2007, of the
world's supply of protein meal and edible oil [1]. Many
international and domestic soybean processors prefer
soybean with at least 340 g kg-1 protein and 190 g kg-1
oil, assuming 130 g kg-1 seed moisture [2]. Soybean seed
quality is determined by the quantity and quality of pro-
tein and oil content (seed composition).
Previous studies showed that soybean seed protein
and oil qualities and quantities significantly vary as
function of node position [3,4]. However, the source of
this variability is not yet understood, and the literature
about seed protein and oil partitioning along the main
1Mention of trade names or commercial products in this publication is
solely for the purpose of providing specific information and does not
imply recommendation or endorsement by the U.S. Department o
f
Agriculture.
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stem is still controversial. Understanding the mecha-
nisms of this variability would allow for efficient breed-
ing and selection for higher seed composition qualities
and for more accurate seed composition measurements
in breeding lines. It was reported that seed oil content on
lower nodes in indeterminate cultivars was higher than
the seed on the upper nodes [3]. For determinate culti-
vars, however, the highest oil content in seed was re-
corded in seeds from terminal nodes [3]. It was found a
nearly linear increase in protein content of seeds from
bottom to the top nodes in indeterminate and high pro-
tein breeding lines [5]. Bennett et al. [6] showed higher
oil concentration in soybean seed from basal plant nodes
compared with upper plant nodes. On the other hand,
seed from the middle nodes on determinate cultivars had
higher oil and lower protein than seeds from either the
top or bottom of the plants [3]. Other research indicated
that the lowest seed protein concentration occurred at
lowest nodes in both determinate and indeterminate
types, and protein concentration increased linearly from
397 g kg-1 at the lowest node to 442 g kg-1 at the highest
node in determinate and increased from the lowest (398
g kg-1) and increased progressively through 14 in inde-
terminate, with no significant differences between nodes
12 and 16 [4]. Huskey et al. [7] found that protein con-
centration of 241 individual seeds from different posi-
tions in ‘Forrest’ soybean did not differ between the top
third (415 g kg-1) and the bottom third (410 g kg-1) of
plants. Both these concentrations were higher than the
middle third of plants (392 g kg-1).
Nitrogen (N) and sulfur (S) mobilization from vegeta-
tive tissues to seed, their status in tissue and seed, and
their distribution along the main stem could be a limiting
factor for seed composition constituents, especially for
protein production and amino acid profile. This is be-
cause high mobilization of N from vegetative tissue to
seed is required for seed composition [8,9] and S [10].
Seed N concentration is correlated with N availability
within plants, and the contribution of N remobilization
to seed N accounted for about 80% to 90% in soybean
(Glycine max) [11], 43% to 94% in rain-fed grown lentil
(Lens culinaris) [12], 84% in bean plants (Phaseolus
vulgaris) [13], and 80% in Vicia faba [14]. It was shown
that seed N content significantly different between R5,
R6, and R7 growth stages. Mean N contents were 6.28%
at R5, 6.35% at R6, and 6.68% at R7 [15].
Seed N is approximately one-half mobilized N under
normal field conditions [16], and soybean mobilizes 66
to 79% of its vegetative N [17], Nitrogen and protein in
vegetative tissues are important sources of re-mobiliz-
able S [18]. It was found that soybeans mobilize 61 to
82% and 66 to 79%, respectively, for vegetative N and S
to seed [17,19]. Egli and Bruening [20] suggested that
total plant N supply to the seed may be the primary lim-
iting factor for seed protein and yield accrual. It was
concluded that the proportion of mobilized N found in
the seed at harvest is more dependent on the amount of
N stored in the vegetative tissues than on the amount of
N either taken up from soil or fixed during seed filling
[21]. On the other hand, N acquisition by soybean plants
involves two interdependent systems, uptake and reduc-
tion of soil NO3
- by nitrate reductase enzyme, and N2
fixation by Bradyrhizobium japonicum in the nodules
using nitrogenase, both of which are dependent on en-
ergy supplied by photosynthesis [22]. Reduction in pho-
tosynthesis during the seed-fill period would limit both
C and N assimilation, reducing seed yield and seed pro-
tein and oil. For example, when photosynthesis was re-
duced by shading, a decrease in yield was associated
with a decrease in seed size, oil concentration, and in-
creased protein concentration [23]. The rate of these
processes would limit N and C sources for seed growth.
Naeve and Shibles [24] found S mobilization to seed
dependent on the quantity of S stored in leaf tissue.
Soybean leaf S concentration declines during seed-fill
period [25,26] as does N/S ratio [25].
Based on the above discussion, the mechanisms con-
trolling the variability of seed composition constituents
as function of nodal position are still not well known,
and available results are still not consistent. Therefore,
the objective of this experiment was to further investi-
gate the partitioning of seed protein, oil, fatty acid at R6
and R8 [27] in determinate and indeterminate soybean
with maturity group ranged from IV to VI. To provide
more sources of variability in the measured variables, we
included different cultivars, with different MG and dif-
ferent stem architecture (terminate and indeterminate).
Possible relationships between nodal seed composition
and seed N and S partitioning on different nodes, N as-
similation and chlorophyll concentration in leaves from
different nodes were also investigated.
2. MATERIALS AND METHODS
Two greenhouse experiments were conducted at Delta
States Research Center in Stoneville, MS. Since seed
samples were the main plant organ in this study, the two
experiments were conducted in different greenhouse bays
and in different years. Therefore, variability between the
two experiments was expected. Soybean seed were ger-
minated in flat trays in vermiculite. Four uniform size
seedlings at V1 stage were transplanted into each 9.45 L
size pot filled with field soil (sandy loam, fine-loamy,
mixed thermic Molic Hapludalfs) with pH 6.3, 1.1% or-
ganic matter, and soil textural fractions of 26% sand, 56%
silt, and 18% clay, and it contained an abundant native
population of B. japonicum. Soil was irrigated as needed
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based on the soil water potential, monitored by tensiome-
ters. Soil water potential was measured every other day
using Soil Moisture Meter (WaterMark Company, Inc.,
Wisconsin, U.S.A.). The soil water potential was kept
between 15 to 20 kPa (this was considered field capac-
ity for the soil used in this experiment). Greenhouse con-
ditions were: temperature was about 32oC ± 8oC during
the day and about 20oC ± 5oC at night with a photosyn-
thetic photon flux density (PPFD) of about 500-2100
µmol m-2 s
-1, measured by Quantum Meter (Spectrum
Technology, Inc., Illinois, U.S.A.). The range of light in-
tensity reflects a bright and sunny or cloudy day, respec-
tively. The source of lighting in the greenhouse was a
mixture of natural light, standard incandescent bulb light
(60 W), and cool white incandescent bulb (250 W). Cul-
tivars grown were maturity group (MG) IV DT97-4290,
indeterminate; MG IV Stressland, indeterminate; MG V
Hutcheson, determinate; MG VI TracyM, determinate.
Selection of cultivars was based to include different MG
(MG IV and V are maturities often used in the region by
growers), different stem architecture (determinate and
indeterminate), different stress tolerance level (Stressland
is adapted to harsh stress environment compared with
others). The selection would create enough variability for
the measured the variables (protein, oil, fatty acids, and N,
S) to investigate the distribution pattern.
The nodes on the main stem were divided into Top,
Middle, and Bottom. For example, if there were 15 nodes
on the main stem, the nodes would have been divided
such that the upper five nodes were considered top third
(Top); the following five nodes were the middle third
(Middle); the lowest five nodes were the bottom third
(Bottom). The number of nodes ranged from 10 to 15.
Seed samples were harvested from R6 and R8 plants. R6
seed samples were dried under room temperature. Each
cultivar was harvested based on its maturity time, and
each cultivar was considered mature when 95% of seed
pods on the main stem had been fully matured.
2.1. In Vivo Nitrate Reductase Assay and
Seed Nutrient Analysis
In all experiments, fully expanded leaves at seed-fill
stage (R5-R6) were sampled for nitrate reductase activity
(NRA). NRA was measured in the fully expanded leaf
according to Hunter [28] and Bellaloui et al. [29]. Briefly,
approximately 0.3 g of fully expanded leaf at R5-R6 was
placed in 10 mL of potassium phosphate buffer at a con-
centration of 100 mM, pH 7.5, containing 1% (v/v) 1-
propanol, in the flask. The incubation solution was va-
cuum filtered for 1 min, and the flask and contents were
flashed with nitrogen gas for 30 s and then incubated at
30°C. A sample of 0.5 mL was taken at regular intervals
(0, 60, 120, 180, and 300 min) for nitrite determination.
Samples were extracted with 5 mL of deionized water and
reacted with 1.0 mL of 1% (w/v) sulfanilamide in 10% v/v
HCl and 1.0 mL of N-naphthyl-(1)-ethylenediamine dihy-
drochloride (0.1%). After 30 min, the samples were read
at 540 nm using a Beckman Coulter DU 800 spectropho-
tometer (Fullerton, CA). The concentration of nitrite was
calculated from a calibration curve made of potassium
nitrite (KNO2). To determine potential NRA (PNRA) un-
der conditions when nitrate concentration would not be a
limiting factor, exogenous nitrate in form of KNO3 was
added to the incubation solution at a concentration of 10
mM. The seed samples were analyzed at The University
of Georgia’s Soil, Plant, and Water Laboratory, Athens,
GA, to determine N and S concentration. Measurements
of N an S were conducted on a 0.25 g sample of soil using
an elemental analyzer.
2.2. Chlorophyll Concentrations
Chlorophyll measurements were made on fully ex-
panded leaf at R5-R6. Leaves were sampled from four
randomly selected soybean plants that were additionally
planted for chlorophyll and NRA. Chlorophyll was ex-
tracted according to Hiscox and Israelstam [30]. Chloro-
phyll concentration was determined spectrophotometri-
cally using a Beckman Coulter DU 800 spectrophotome-
ter (Fullerton, California, U.S.A.). Chlorophyll concentra-
tion was calculated using the equation of Arnon [31] and
expressed as milligrams of chlorophyll per gram of leaf
fresh weight.
2.3. Protein, Oil, and Fatty Acids Analysis
Seeds from each replicate and from each treatment
were sampled and analyzed for seed composition using
near-infrared (NIR) reflectance diode array feed analyzer
(Perten, Spring Field, IL, U.S.A.) for protein, oil, fatty
acids [29,32]. Calibrations were developed by Perten us-
ing Thermo Galactic Grams PLS IQ. The calibration
curve has been regularly updated from six months to one
year for unique samples according to AOAC methods
[33,34]. The analysis was performed on the basis of per-
cent dry matter [29].
2.4. Statistical Analysis
Treatments were arranged in a split plot design with
four replications. Cultivar was a main plot, stage (R6 and
R8) was a sub-plot, and position (Top, Middle, and Bot-
tom) was a sub-sub-plot. Analysis of variance using Proc
Mixed was conducted using a split plot model using SAS
[35]. Level of significance was at P 5%. Since the two
experiments were significantly different in a preliminary
analysis (data not shown), as expected, each experiment
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was analyzed separately.
3. RESULTS
3.1. Seed Composition Constituents
Since each experiment was conducted in a different
greenhouse bay and in different years, it was expected that
interactions between experiment (Exp) and other variables
(cultivar, stage, and position) will be significantly (P 0.5)
different for seed composition constituents (protein, oil,
oleic and linolenic acids, N, and S) (data not shown).
Therefore, results were presented separately by experi-
ment (Exp 1 and Exp 2) and stage (R6 and R8). In Exp 1,
mean values at R6 (Table 1) showed that seed protein
concentration was the highest and oil was the lowest in
top node seed in DT97-4290, Hutcheson, Stressland. Tra-
cyM had no differences in oil concentration among the
nodes, but it showed the same relationship of protein
concentration among nodes as the other cultivars. All cul-
tivars had the highest oleic acid and protein in the top
node and the lowest in the bottom node. Linolenic acid
was expected to be inversely related to oleic acid based on
prior experience with R8 growth stage seed composition
values, but this was not always the case at R6 for Stress-
land and TracyM. The lowest values for linolenic acid
were in the top and middle node for DT97-4290 and
Hutcheson. At R8, the concentration of seed protein and
oleic acid was greater in the top node seed and middle
node seed, and lower in the bottom seed in all cultivars,
except Hutcheson. Oil concentration was generally lowest
in the top node and highest in the bottom node, which is
the inverse of protein and oleic acid concentration, except
for Hutcheson. Hutcheson did not fit the pattern of the
other cultivars for oleic acid partitioning at R8 because it
had the highest oleic acid in the middle node, rather than
the top node. Compared to R6, the R8 values for linolenic
acid were more consistent with the lower value in the top
node and the higher value in the bottom node for all cul-
tivars.
In Exp 2, the pattern of seed constituents partitioning at
R6 growth stage were similar for all variables for DT97-
4290, but the patterns were different from those in Exp1
for the other cultivars (Table 2). Stressland and TracyM
showed the opposite trend of those in DT97-4290, i.e.,
lower protein concentration and oleic acid in the top seed
nodes, and oil and linolenic acid were higher in the bot-
tom seed than the top seed nodes at R6 (Table 2). In Exp
1, oleic acid was highest in the top node for all cultivars,
but in the Exp 2 it was lower in the top node for Stress-
land and TracyM.
At R8, protein was consistently higher in top node and
oil was consistently lower in the top node in the two ex-
periments and among all the cultivars. For oleic acid,
DT97-4290, Hutcheson, and Stressland consistently had
higher oleic acid in the top nodes and lower in the bottom
nodes. TracyM did not follow the same pattern as other
Table 1. Experiment 1, mean values of protein, oil, and fatty acids percentages (%) as affected by node position (Top = T, Middle = M,
Bottom = B) and cultivar at R6 (seed-fill stage) and R8 (physiological maturity stage).
R6 R8
Cultivar Position Protein Oil Oleic Linolenic Protein Oil Oleic Linolenic
T 42.93 a 15.52 b 32.55 a 5.69 b 47.33 a 18.82 c 30.45 a 6.99 b
M 42.47 a 15.57 b 31.78 a 5.78 b 45.56 b 20.91 b 25.06 b 7.21 a
B 39.64 b 20.59 a 27.80 b 6.73 a 39.61 c 23.53 a 20.73 c 10.19 a
DT 97-4290
LSD = 0.627 0.444 3.20 0.40 0.464 0.404 3.258 0.397
T 43.47 a 16.80 b 23.15 a 4.63 b 47.68 a 19.85 c 27.013 b 6.15 c
M 42.75 a 16.25 c 23.73 a 4.20 c 45.06 b 20.53 b 28.910 a 7.18 b
B 40.77 b 21.33 a 19.05 b 5.65 a 43.15 c 23.66 a 18.575 c 8.95 a
Hutcheson
LSD = 0.722 0.507 1.086 0.244 0.309 0.414 0.811 0.415
T 44.88 a 15.88 c 35.45 a 4.43 ab 48.55 a 19.46 c 23.83 a 6.63 b
M 45.07 a 18.51 b 33.43 b 5.00 a 47.28 b 20.59 b 22.55 b 6.88 ab
B 42.22 b 21.81 a 23.03 c 4.75 b 41.91 c 24.36 a 12.34 c 7.13 a
Stressland
LSD = 0.958 0.928 1.126 0.238 0.520 0.562 0.916 0.281
T 43.02 a 20.65 a 26.10 a 5.08 a 46.68 a 20.69 b 23.63 a 5.52 b
M 42.76 a 20.99 a 23.65 b 4.95 a 44.49 b 20.85 b 20.90 b 5.30 b
B 41.54 b 20.75 a 19.23 c 4.47 b 40.08 c 24.50 a 11.12 c 8.42 a
TracyM
LSD = 0.372 0.437 0.998 0.382 0.600 0.585 1.128 0.68
Notes: means within a column in each cultivar followed by the same letter are not significantly different at P 5%. Four replicates were used.
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Table 2. Experiment 2, mean values of protein, oil, and fatty acids percentages (%) as affected by node position (Top = T, Middle = M,
Bottom = B) and cultivar at R6 (seed-fill stage) and R8 (physiological maturity stage).
R6 R8
Cultivar Position Protein Oil Oleic Linolenic Protein Oil Oleic Linolenic
T 44.24 a 16.24 b 31.50 a 5.48 b 47.89 a 19.39 c 27.58 a 5.92 b
M 42.67 b 16.30 b 23.91 b 5.63 b 46.30 b 21.72 b 23.66 b 7.46 a
B 40.00 c 22.73 a 18.67 c 6.95 a 41.48 c 23.17 a 15.28 c 6.28 b
DT 97-4290
LSD = 0.574 0.557 1.33 0.596 0.408 0.522 0.768 1.017
T 43.43 a 15.58 b 23.94 a 5.16 c 47.89 a 17.31 c 20.42 a 7.10 b
M 41.81 b 16.52 b 21.58 b 5.82 b 47.48 a 21.91 b 18.50 b 6.55 b
B 38.96 c 21.88 a 16.14 c 7.04 a 44.75 b 23.66 a 13.08 c 8.31 a
Hutcheson
LSD = 0.549 1.346 1.086 0.285 1.123 0.619 1.060 0.588
T 39.91 c 23.58 a 17.19 c 6.32 b 48.60 a 18.81 c 22.30 a 6.37 c
M 46.48 a 16.83 c 38.10 a 7.02 a 48.17 b 21.99 b 22.04 a 6.83 b
B 44.60 b 17.58 b 31.55 b 6.59 b 42.55 c 24.69 a 11.87 b 7.67 a
Stressland
LSD = 0.452 0.700 0.992 0.302 0.426 0.414 1.192 0.424
T 39.66 b 22.03 a 21.10 b 8.05 a 47.56 a 20.45 c 22.10 b 6.17 b
M 42.21 a 20.68 ab 22.61 a 6.36 b 44.97 b 22.27 b 21.63 b 6.00 b
B 42.47 a 21.40 b 22.89 a 6.10 b 42.77 c 23.89 a 23.73 a 7.84 a
Tracy
LSD = 0.4679 0.8614 3.273 1.1433 0.715 0.780 1.377 0.569
Notes: means within a column in each cultivar followed by the same letter are not significantly different at P 5%. Four replicates were used.
Table 3. Mean values of nitrate reductase activity (NRA, µmol nitrite/g fwt/hour) and chlorophyll concentrations (mg/g fwt) in the fully
expanded leaf at R5-R6 (seed fill-stage) in Experiment 1 and experiment 2 as affected by node position (Top = T, Middle = M, Bottom
= B) and cultivar.
Experiment 1 Experiment 2
Cultivar Position NRA Chlorophyll NRA Chlorophyll
T 4.82 a 2.43 a 5.76 a 1.98 a
M 4.98 a 2.51 a 5.32 b 2.29 b
B 3.31 b 1.69 b 3.45 c 1.53 c
DT 97-4290
LSD = 0.3945 0.4404 0.166 0.2726
T 5.47 a 2.86 b 6.01 a 2.86 a
M 5.60 a 3.63 a 5.18 b 2.17 b
B 3.62 b 1.33 c 3.37 c 1.18 c
Hutcheson
LSD = 0.3908 0.2293 0.3157 0.2398
T 5.95 a 3.43 a 5.43 a 1.64 c
M 5.18 b 3.51 a 5.18 a 3.16 a
B 5.43 b 1.81 b 5.43 a 2.53 b
Stressland
LSD = 0.3408 0.1893 0.3845 0.2395
T 5.55 a 3.25 a 4.62 b 2.16 b
M 5.85 a 3.05 a 5.39 a 3.27 a
B 3.98 b 1.83 b 5.19 a 2.92 a
Tracy
LSD = 0.3693 0.2735 0.4662 0.4293
Notes: means within a column in each cultivar followed by the same letter are not significantly different at P 5%. Four replicates were used.
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cultivars. Linolenic acid was also consistently lower in the
top nodes in all cultivars and in both experiments.
3.2. Partitioning of in Vivo Nitrate Reductase
Activity, Chlorophyll, and N and S
Both nitrate reductase activity (NRA) and chlorophyll
concentration were lower in lower leaves than those of
upper leaves (Table 3). This pattern was consistent for all
cultivar, except for Stressland. Seed N concentrations (Ta-
ble 4) showed a pattern of increase from bottom to top
node seed in DT97-4290, Hutcheson, and Stressland at R8.
This pattern was not shown in Tracy (Table 4). For seed S,
only DT 97-4290 showed a pattern of increase from bot-
tom to top node seed (Table 4). At R6, the pattern of in-
crease from bottom to top node seed was consistent only
in DT 97-4290 (Table 4).
4. DISCUSSION
Our research showed that two cultivars (DT97-4290,
indeterminate, and Hutcheson, determinate) had consis-
tent trend in that protein and oleic acid percentage were
higher and oil and linolenic acid percentage were lower in
upper nodes (Top and Middle) compared with those of
lower nodes (Bottom). These results support those found
by Escalante and Wilcox [4] for both determinate and
indeterminate, and support those found by Collins and
Cartter [3] for determinate type only. Stressland, indeter-
minate, and TracyM, determinate, showed inconsistency.
Patterns of distribution of these constituents are contro-
versial, non-consistent. For example, it was reported that
seed oil in the lower nodes was higher than those of upper
nodes in indeterminate cultivars, and the opposite trend
was noticed in determinate cultivars [3]. Escalante and
Wilcox [4] found an increase in seed protein from bottom
to the top nodes in indeterminate lines, and that the middle
nodes had higher seed oil and lower protein on determi-
nate cultivars than seeds from either the top or bottom
nodes. Escalante and Wilcox [4] also found that the lowest
seed protein concentration occurred at lowest nodes in
both determinate and indeterminate types. Other research-
ers did not show the same observation in that protein
concentration of 241 individual seeds from different posi-
tions in ‘Forrest’ soybean did not differ between the top
third (415 g kg-1) and the bottom third (410 g kg-1) of
plants, and these concentrations were higher than the
middle third of plants (392 g kg-1) [7]. The seed composi-
tion constituent partitioning along the stem may be con-
trolled by stem architecture, type of growth (determinate
or indeterminate), maturity, and genotype.
Since our objective was to understand some of the
physiological mechanisms controlling the partitioning of
seed composition constituents along the whole plant, it
was thought that temperature and light distribution (gra-
dient) from top to bottom canopy could be involved. In
our experiment, light intensity in the lower canopy (lower
Table 4. Mean values of seed N and S percentages in Experiment 1 (Exp 1) and Experiment 2 (Exp 2) as affected by node position (Top
= T, Middle = M, Bottom = B) and cultivar at R6 (seed-fill stage) and R8 (physiological maturity stage).
Exp1 at R6 Exp 2 at R6 Exp1 at R8 Exp 2 at R8
Cultivar Position N S N S N S N S
T 5.28 a 0.55 a 5.82 a 0.64 a 6.91 a 0.57 a 6.34 a 0.50 a
DT 97-4290 M 5.45 a 0.50 a 5.45 b 0.60 b 6.83 a 0.47 b 6.63 a 0.55 b
B 4.83 b 0.43 b 4.78 c 0.48 c 5.86 b 0.41 c 5.80 b 0.42 c
LSD = 0.3222 0.0517 0.2386 0.0359 0.1682 0.026 0.3461 0.0453
T 4.25 c 0.68 a 5.78 a 0.60 b 6.79 a 0.51 a 6.96 a 0.52 b
Hutcheson M 4.98 a 0.63 b 5.85 a 2.00 a 6.83 a 0.47 b 6.53 b 0.56 a
B 4.68 b 0.65 ab 4.63 b 0.59 b 6.43 b 0.47 b 6.08 c 0.54 ab
LSD = 0.1818 0.0351 0.2412 0.70272 0.2448 0.0246 0.3387 0.0337
T 6.05 a 0.50 a 6.12 b 1.89 a 6.70 a 0.48 a 6.77 a 0.56 a
Stressland M 5.35 b 0.45 b 7.02 a 2.06 a 6.88 a 0.46 b 6.56 b 0.56 a
B 4.53 c 0.35 c 6.86 b 2.04 a 5.81 b 0.35 c 5.20 c 0.54 a
LSD = 0.2675 0.0468 0.3188 0.70272 0.2432 0.0174 0.1468 0.0228
T 5.83 a 0.35 a 4.93 a 0.62 a 6.33 b 0.55 b 5.49 a 0.58 a
Tracy M 5.95 a 0.30 b 4.61 b 0.63 a 6.69 a 0.56 a 5.17 b 0.58 a
B 5.85 a 0.30 b 4.88 a 0.57 b 6.85 a 0.57 a 5.24 b 0.53 b
LSD = 0.2725 0.037 0.1491 0.0495 0.1617 0.0146 0.2057 0.021
Notes: means within a column in each cultivar followed by the same letter are not significantly different at P 5%. Four replicates were used.
N. Bellaloui et al. / Agricultural Sciences 1 (2010) 110-118
Copyright © 2010 SciRes. Openly accessible at http://www.scirp.org/journal/A S/
116
nodes) was about 500 µmol m-2 s
-1 compared with about
2100 µmol m-2 s
-1 (about 76% less) of those of upper
nodes. Both nitrate reductase activity (NRA) and chloro-
phyll concentration were lower than those of upper leaves
(Table 3). This pattern was consistent for all cultivar ex-
cept for Stressland. Since Stressland was developed for
stress environment [36], its response to light intensity due
to shade effect could be different. Total seed amino acids,
proline, cysteine, and methionine amino acids were 20, 40,
30, 25% higher, respectively (data not shown). Shade ef-
fect was reported by other researchers. For example,
Burkley et al. [37] found that highly shaded soybean
leaves in the high plant density treatment accumulated
triacylglycerol up to 25% of total leaf lipid compared to
leaves in the upper canopy. They also found that shade did
not affect leaf chlorophyll content, but reduced linolenic
acid content, which was a companied by a proportional
increase in oleic and linoleic acids. They concluded that
triacylglycerol accumulation was a result of altered carbon
metabolism and not a senescence response. Our results
disagreed with Burkley et al. [37] in that chlorophyll con-
centration decreased in three cultivars, but not in Stress-
land. Recently, Proulx and Naeve [23] showed that shade
and pod removal resulted in preferential accumulation of
protein over oil, and the altered protein accumulation over
oil became more pronounced under shade conditions. It
was explained that these effects appeared to be a result of
more limited seed oil accrual under shade conditions.
Shade treatments have shown different effects on seed
size, protein, and oil concentration, and this is because
photosynthesis during the seed fill period is the primary
source of energy for both seed growth [38,39] and N as-
similation via NO3
uptake and N2 fixation [22]. Therefore,
inhibition of photosynthesis rate during seed-fill period
can limit C and N assimilation, leading to reduced seed
yield and accrual seed protein and oil. Other reports
showed that shade reduced yield and seed size with no
effect on protein [40], reduced yield with no effect on seed
size, protein, or oil [41], or reduced yield with variable
effects on seed size, protein, and oil [42].
Our results showed that the activity of nitrate reductase
consistently increased from bottom to top nodes in all
cultivars, except in Stressland. This indicates that nitrate
assimilation is lower in the bottom of the canopy, and this
may be due to low photosynthesis rate promoted by lower
light intensity in the lower canopy due to shade. Adding
exogenous nitrate to the incubation solution resulted in a
significant increase of NRA, especially in lower leaves
(increase of 35% comparing to the upper node leaves).
The higher increase of NRA in lower leaves, when ex-
ogenous nitrate was added, than the upper leaves indicated
lower nitrate availability for maximum NRA as indicated
by others [43,44]. The lower activity of nitrate reductase
(NR) in lower node leaves could be a result of inhibition
of de novo synthesis of NR molecules due to less light
intensity as light is a source of the reducing power
(NADPH). Therefore, the partitioning of seed composi-
tion constituents along the main stem could be partially
due to nitrogen assimilation, lower chlorophyll concentra-
tion, and different maturity times of individual pods along
the main stem. More work is needed to identify the rela-
tionships between these factors and seed composition.
Seed N and S concentrations pattern at R8 appear to be
more indicative for final N and S concentration status in
seed than at R6. Therefore, seed N or S at R6 may not
reflect the total seed N and S at R8. The increase of N and
S from bottom to top nodes was accompanied by the in-
crease of protein and oleic acid, especially in DT97-4290
and Stressland. Previous studies reported that N and S
mobilization from vegetative tissues to seed could be a
limiting factor for seed constituent accumulation. This is
because seed protein requires a high demand of mobiliza-
tion of stored N in vegetative tissues [7,8] and S [9]. Also
it was found that mobilization of S to seed depended on
the quantity of S stored in leaf tissue [23]. The increase in
total seed amino acids, proline amino acid, and cysteine
and methionine (Sulfur amino acids) (data not shown) is
significant observation that may contribute to the inter-
pretation of seed composition constituent distribution
along the main stem, but further research is needed.
Therefore, NRA and chlorophyll concentrations could
explain the partitioning of seed constituents along the
main stem. However, seed constituents partitioning could
be explained by seed N at R8 only in some cultivars such
as DT97-4290 and Hutcheson, and by seed S in only
DT97-4290, indicating that using seed N and S at R6 or
R8 to explain constituents partitioning cannot be general-
ized.
5. CONCLUSIONS
The current research suggests that the partitioning of
protein, oil, and fatty acids concentration along the main
stem depended on the position of nodes on the main stem,
cultivar differences, and light intensity. Seed protein and
oleic acid concentrations were higher in the top nodes, but
oil and linolenic acid concentrations were lower in the
bottom nodes. This pattern was consistent at R8 stage
compared with R6, indicating that R8 is more indicative
for final seed composition status, and the full period from
R6-R8 is important for achieving maximum accumulation
of seed composition constituents. Cultivar Stressland did
not follow the same trend as other cultivars, especially at
R6, indicating that stress tolerance cultivars such as
Stressland may pose a different mechanism for seed con-
stituent partitioning. Higher protein and oil are obtained at
N. Bellaloui et al. / Agricultural Sciences 1 (2010) 110-118
Copyright © 2010 SciRes. Openly accessible at http://www.scirp.org/journal/A S/
117
117
R8, but oleic acid accumulation was greater at R6, except
for Hutcheson, reflecting the effect of cultivar differences
and stage on oleic acid accumulation. Pattern differences
in N and S along the main stem among cultivars may de-
pend on N and S requirements of each cultivar, which is
genetically controlled. Further studies are needed to in-
vestigate the relationships between N and S supply and
uptake, and seed composition constituent accumulation,
especially amino acids. This knowledge provides with
further understanding of the dynamics of nutrient distribu-
tion and seed composition constituents. Also, the current
research is useful for soybean germplasm and pod selec-
tion for desirable traits such protein and oleic acid and for
accurate measurements of seed composition constituents
in breeding lines.
6. ACKNOWLEDGEMENTS
The authors are thankful to Sandra Mosley for seed
composition analysis. We are also thankful to Debbie
Boykin for statistical assistance. This research was funded
by United States Department of Agriculture, Agricultural
Research Service, project number is 6402-21000-034-000.
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