Vol.1, No.3, 102-109 (2010) Agricultural Sciences
doi:10.4236/as.2010.13013
Copyright © 2010 SciRes. Openly accessible at http://www.scirp.org/journal/AS/
Soybean seed protein, oil, fatty acids, and mineral
composition as influenced by soybean-corn rotation
Nacer Bellaloui1*, H. Arnold Bruns2, Anne. M. Gillen1, Hamed K. Abbas1, Robert M. Zablotowicz2,
Alemu Mengistu3, Robert L. Paris4
1Crop Genetics Research Unit, USDA-ARS, Stoneville, USA; *Corresponding Author: nacer.bellaloui@ars.usda.gov
2 Crop Production Systems Research Unit, USDA-ARS, Stoneville, USA
3Crop Genetics Research Unit, USDA-ARS, Jackson, USA
4The American Chestnut Foundation, Beckley, USA
Received 6 July 2010; revised 20 August 2010; accepted 24 August 2010.
ABSTRACT
Effects of crop rotation on soybean (Glycine
max (L) Merr.) seed composition have not been
well investigated. Therefore, the objective of
this study was to investigate the effects of soy-
bean-corn (Zea mays L.) rotations on seed pro-
tein, oil, and fatty acids composition on soy-
bean. Soybeans were grown at Stoneville, MS,
from 2005 to 2008 in five different scheduled
cropping sequences. In 2007, following three
years of rotation with corn, seed oleic acid per-
centage was significantly higher in any crop ro-
tation than continuous soybean. The increase of
oleic fatty acid ranged from 61 to 68% in 2007,
and from 27 to 51% in 2008, depending on the
rotation. The increase of oleic acid was accom-
panied by significant increases in seed concen-
trations of phosphorus (P), iron (Fe), and boron
(B). In 2007, the increase of P ranged from 60 to
75%, Fe from 70 to 72%, and B from 34 to 69%.
In 2008, the increase of P ranged from 82 to
106%, Fe from 32 to 84%, and B from 62 to 77%.
Continuous soybean had higher linoleic:oleic
ratio and linoleic: palmitic + stearic + oleic ratio,
indicating that relative quantity of linoleic acid
decreased in rotated crops. The total production
of protein, oil, stearic and oleic fatty acids was
the lowest in continuous soybean. The total
production of palmitic acid was inconsistent
across years. The results show that soybean-
corn rotation affects seed composition by con-
sistently increasing seed oleic fatty acid, P, Fe,
and B concentrations. Higher oleic acid, unsa-
turated fatty acid, is desirable for oil stability
and long-shelf storage. The mechanisms of how
these nutrients are involved are not yet under-
stood.
Keywords: Fatty Acids; Mineral Nutrients; Oil;
Protein; Seed Composition; Soybean-Corn Rotation
1. INTRODUCTION
Soybean is a major source of high quality protein and
oil [1], and soybean seed quality is often determined by
seed protein, oil, fatty acid, and mineral content. There-
fore, improving soybean seed quality is key to improv-
ing human and animal nutrition. Soybean seed protein
concentration ranges from 341 to 568 g kg-1 of total seed
weight, with a mean of 421 g kg-1. Oil concentration
ranges from 83 g kg-1 to 279 g kg-1 with a mean of 195 g
kg-1 [2]. Saturated fatty acids in soybean oil range from
100 g kg-1 to 120 g kg-1 for palmitic acid, and from 22 g
kg-1 to 72 g kg-1 for stearic acid [3]. The mean concen-
tration of unsaturated fatty acids is 240 g kg-1 for oleic
acid, 540 g kg-1 for linoleic acid, and 80 g kg-1 for lino-
lenic acid [4]. There was a negative relationship between
elevated protein and oil concentration in soybean culti-
vars and yield [5], and a negative correlation between
protein and oil [6]. Previous research has shown signifi-
cant effects of production practices in soybean on pro-
tein and oil concentration of a soybean seed [7].
Crop rotation has been shown to improve soil struc-
ture [8], increase crop water use efficiency [9,10], in-
crease soil organic matter [11], and improve nutrient use
efficiency [12]. Studies showed that a two-year corn-
soybean rotation increased both corn [12] and soybean
yields [13], and increased soybean and grain sorghum
(Sorghum bicolor L. Moench) yields in a soybean-sor-
ghum rotation [9,14]. Both corn grain and soybean seed
Mention 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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yields were greater in rotation than continuous cropping
(7.10 Mg ha-1vs. 5.83 Mg ha-1) and soybean (2.57 Mg
ha-1 vs. 2.35 Mg ha-1) [15]. However, crop rotation and
its effects on soybean seed composition have yet to be
thoroughly investigated.
It was shown that soybean seed protein concentration
decreased from 357 mg kg-1 in first-year soybean fol-
lowing five consecutive years of corn to 351 mg kg-1 in
fifth-year soybean following five consecutive years of
corn [7]. Soybean oil concentration increased as con-
secutive years of soybean production increased. It was
found that higher protein and oleic fatty acid percentages
were accompanied with higher soil B, indicating that
maintaining optimum nutrient concentrations in soil may
result in higher seed protein and oleic acid [16]. A posi-
tive correlation of B with protein and oleic acid was also
found [16], suggesting an indirect role of B with seed
composition. This observation was supported by previ-
ous research when foliar B application increased soy-
bean seed protein and oleic acid concentrations [17].
The objective of this research was to investigate how
seed protein, oil, and fatty acid concentrations are influ-
enced by soybean-corn rotation sequences compared to
continuous soybean grown under Early Soybean Produc-
tion Systems (ESPS). Since recent mineral nutrient lev-
els in seed were observed to influence seed composition
[16,17], seed P, Fe, and B were also determined.
2. MATERIALS AND METHODS
2.1. Growth Conditions and Field
Management
The research was conducted at Mississippi State Uni-
versity’s Delta Branch Experiment Station at Stoneville,
MS from 2005 to 2008. Soil at the experimental site was
analyzed in 2005, and was a Dundee silty clay (fine-silty,
mixed thermic Typic Dystrochrepts) comprised of 16%
sand, 52% silt, 32% clay, and 1.76% organic matter
(OM). The rotation scheduled sequences were: 1) con-
tinuous soybean, SSSS; 2) 1 year corn followed by 1
year soybean, CSCS; 3) 1 year soybean followed by 1
year corn, SCSC; 4) 2 years of corn followed by 2 years
of soybean, CCSS; 5) 2 years of soybean followed by 1
year corn followed by 1 year soybean, SSCS. The soil
mineral concentrations [ ] in 2005 were 380 mg kg-1 P,
1.76% Fe, and 1.13 mg kg-1 B. Soil analysis in 2008
indicated that [P] was 414 mg kg-1 in SSSS, 572 mg kg-1
in CSCS, 497 mg kg-1 CCSS, and 442 mg kg-1 in SSCS;
[Fe] was 1.67% in SSSS, 1.8% in CSCS, 1.81% in CCSS,
and 1.86% in SSCS. [B] was 1.36 mg kg-1 in SSSS, 2.86
mg kg-1 in CSCS, 2.51 mg kg-1 in CCSS, and 2.33 mg
kg-1 in SSCS. Soil analysis in 2008 indicated that soil
organic matter was 2.3% in SSSS, 1.8% in CSCS, 2.6 %
in SCSC, and 2.1% in SSCS.
Individual experimental units were eight 76 cm rows 9
m long. The land was prepared each season by forming
40 cm high ridges in late winter for planting. Supple-
mental N as urea: NH4NO3 liquid was applied to the corn
each year to a yield goal of 8.5 Mg ha-1. The experiment
was furrow irrigated approximately every 10 days be-
ginning at the reproductive growth stages of the corn.
Both corn and soybean were planted on 7 April, 2005, 12
April, 2006, 11 April, 2007, and 14 April, 2008. Seeding
rate for soybean was 30 seed m-2. Weed control in both
crops was achieved by applying glyphosate [N-(phos-
phorrnomethyl)glycine] post emergence at a rate of 0.8
kg ae ha-1. Beginning in 2006 after the first year of the
rotations, soybean seed were collected annually and
analyzed for seed protein, oil, fatty acids, [P], [Fe], and
[B].
2.2. Soil Sampling and Analyses
Soil samples taken on 0.203 ha grid across the field
were collected at the beginning of the experiment in
2005 and at the end in 2008 to determine the soil texture
and initial and final [P], [Fe], and [B]. Composite sam-
ples were also taken from each experimental unit to
monitor any changes in soil chemical and/or physical
properties. The soil samples were analyzed at The Uni-
versity of Georgia’s Soil, Plant, and Water Laboratory,
Athens, GA, to determine soil structure, texture, and
organic matter and (OM).
2.3. Seed Mineral Analyses
2.3.1. Boron Measurement
Boron concentration was determined in matured seed
with the Azomethine-H method [18]. Calcium carbonate
powder was added to 1.0 g seed samples before ashing at
500 C for 8 hours to prevent losses of volatile B com-
pounds. After ashing, samples were extracted with 20 ml
of 2 M HCl at 90oC for 10 min, filtered and transferred
to plastic vials. Then, 2 ml of the solution was added to 4
ml of buffer solution (containing 25% ammonium ace-
tate, 1.5% EDTA, and 12.5% acetic acid) and 4 ml of
freshly prepared azomethine-H solution (0.45% azome-
thine-H and 1% of ascorbic acid) [19]. The color was left
to develop for at least 45 min at ambient temperature, and
[B] determined using a Beckman Coulter DU 800 spec-
trophotometer (Fullerton, California, U.S.A.) at 420 nm.
2.3.2. Iron Measurement
Iron concentration in matured seed was measured
after acid wet digestion, extraction, and reaction of the
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reduced ferrous Fe with 1, 10-phenanthroline [20,21]. A
sample of 2 g of dried ground seed were digested in ni-
tric acid (70% m/m HNO3). The acids were removed by
volatilization and the soluble constituents dissolved in 2
M HCl. Iron standard solutions were prepared in 0.4 M
HCl, ranging from 0.0 to 4 µg ml-1 Fe. Phenanthroline
solution of 0.25% m/v was prepared in 25% v/v ethanol.
The quinol solution (1% m/v) reagent was prepared on
the day of use. Approximately 4 ml of aliquot was pipet-
ted into 25 ml volumetric flask. The aliquot was diluted
to 5 ml using 0.4 M HCl. Quinol solution (1 ml) was
added and mixed. Then 3 ml of phenanthroline solution
and 5 ml of tri-sodium citrate solution (8% m/v) were
added. The mixture solution containing the aliquot, HCl,
phenanthroline, tri-sodium citrate, was diluted to 25 ml
and stood for 4 h Absorbance of the samples was read at
510 nm using a Beckman Coulter DU 800 spectropho-
tometer.
2.3.3. Phosphorus Measurement
Phosphorus concentration in matured seed was meas-
ured spectrophotometrically as the yellow phospho-va-
nado-molybdate complex [22,23]. A dry 2 g sample of
seed was ashed to completely destroy organic matter.
After ashing, 10 ml of 6 M HCl was added and the sam-
ple placed in water bath at 70oC to evaporate the solution
to dryness. After drying, the samples were kept under
heat, 2 ml of 36% m/m HCl was added, and gently
boiled. Later, 10 ml of water was added and the solution
was carefully boiled for about 1 min.). The aliquot was
transferred to a 50 ml volumetric flask and diluted to
volume. The sample solution was then filtered after the
first 2 ml were discarded and the remainder was kept for
P analysis. 5 ml of the sample was taken. 5 ml of 5 M
HCl and 5 ml of ammonium molybdate-ammonium
metavanadate (a solution of ammonium molybdate,
(NH4)2MoO4 (25 g/500 ml water), and ammonium meta-
vanadate, NH4VO3) (1.25 g/500 ml water) reagent were
added, diluted to 50 ml, and allowed to stand for 30 min
at ambient temperature before measurement. The con-
centration of P was determined using a Beckman Coulter
DU 800 spectrophotometer at 400 nm. Phosphorus stan-
dard solution (0-50 µg/ml of phosphorus) was made us-
ing dihydrogen orthophosphate dissolved in both water
and 36% m/m HCl.
2.3.4. Seed Protein, Oil, Fatty Acid Analyses
Seeds from each soybean plot were sampled and ana-
lyzed for protein, oil, and fatty acids beginning in 2005
through 2008 using a near-infrared (NIR) reflectance
diode array feed analyzer (Perten, Springfield, IL,
U.S.A.) [24,25]. Calibrations were developed by Perten
using Thermo Galactic Grams PLS IQ. The calibration
curve has been regularly updated for unique samples
according to AOAC methods [26,27].
2.4. Experimental Design and Statistical
Analyses
The experimental design was a randomized complete
block replicated four times. Rotation sequences were
assigned at random at the initiation of the experiment
and remained in place during its duration. To compare
individual treatments, data were analyzed using PROC
GLM [28]. Means were separated by Fisher’s least sig-
nificant difference (LSD) test at the 5% level of prob-
ability. To compare across rotations with continuous
soybean, ‘contrast’ option for planned contrasts of SAS
(SAS Institute, Cary, NC) [28] was used. Because of the
design of the experiment and since the objective of the
experiment was to compare soybean-corn rotation with
continuous soybean in each year, data were analyzed
separately in each year.
3. RESULTS
3.1. Seed Yield and Composition
Yield increased in all soybean-corn rotation sequences
compared to continuous soybean (Table 1). These in-
creases ranged from 10% to 13% in 2007, 19% to 22%
in 2008 (Table 1). In 2007, seed protein and oleic acid
percentages were higher in all soybean-corn rotation
compared to continuous soybean (Table 1). In 2008,
oleic fatty acid was also higher in any crop rotation
compared to continuous soybean (Table 1). The increase
of oleic fatty acid ranged from 61 to 68% in 2007, and
from 27 to 51% in 2008, depending on the rotation. Pro-
tein percentage increase ranged from 3.6 to 7.8% in
2007, and from 0.11 to 4.5% in 2008, depending on the
rotation (Table 1). The opposite trend was observed for
oil and linoleic acid, confirming the inverse relationship
between protein and oil percentages, and between oleic
and linoleic acids (Table 1). Compared with soybean-
corn rotation, continuous soybean had higher linoleic:
oleic ratio, and it is evident, especially in 2007 and 2008
(Table 1).
Total production of protein and oleic acid on a kg ha-1
were higher in any soybean-corn rotation regardless soy-
bean-corn rotation sequence, and lowest in continuous
soybean in both 2007 and 2008 (Table 2). For example,
in 2007, following three years of rotation with corn, total
seed constituents were higher, 17-19% for protein, 4-8%
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for oil, 14-17% for palmitic, 9-15 for stearic, 78-90% for
oleic, and 2% for linoleic acids compared to seed from
continuous soybean plots (Table 2). Protein, oil, and
linoleic acid production, on a kg ha-1 was consistently
greater in any rotation compared to monoculture soy-
bean (Table 2). Compared with soybean-corn rotation,
continuous soybean had higher linoleic: palmitic +
stearic + oleic ratio, especially in 2007 and 2008 (Table 2).
Planned contrast analysis confirmed that oleic acid
was consistently significantly different (lowest in con-
tinuous soybean) between continuous soybean vs. all
soybean-corn rotations in 2007 and 2008 (Table 3).
Table 1. Mean values of protein, oil, fatty acid percentages (%), and yield (kg ha-1) as affected by scheduled rotation.
Year Rotation
Yield
(kg ha-1) Protein (%) Oil (%) Oleic (%) Linoleic (%) Ratio
Linoleic/Oleic
2006 SSSS 4549 a 39.78 b 21.08 a 22.63 a 54.07 a 2.39
CSCS 4682 a 39.70 b 21.02 a 23.13 a 53.85 a 2.33
SSSS 3468 b 43.10 a 23.10 a 18.23 b 63.83 a 3.50
2007 SCSC 3824 b 46.45 a 21.80 a 29.38 a 59.00 b 2.00
CCSC 3934 b 44.66 b 21.99 a 30.69 a 56.15 c 1.83
SSSS 4122 a 44.58 b 21.83 a 20 c 61.18 ab 3.06
2008 CSCS 5024 a 46.58 a 21.85 ab 30.22 a 63.13 a 2.09
CCSS 4903 a 44.63 b 22.18 a 29.85 a 59.43 b 1.99
SSCS 4893 a 44.65 b 21.63 b 25.43 b 61.18 ab 2.40
Notes: Means within a column in a given year followed by the same letter are not significantly different at P 5%. Four replicates were used. Scheduled
rotations were: SSSS = continuous soybean, CSCS = 1 year corn followed by 1 year soybean followed by 1 year corn followed by 1 year corn, CCSS = 2 years
of corn followed by 2 years of soybean, SSCS = 2 years of soybean followed by 1 year corn followed by 1 year soybean.
Table 2. Mean values of total production of protein, oil, fatty acids as affected by scheduled rotation.
Year Rotation
Protein
(kg ha-1)
Oil
(kg ha-1)
Palmitic
(kg ha-1)
Stearic
(kg ha-1)
Oleic
(kg ha-1)
Linoleic
(kg ha-1)
Ratio
C/Lino
SSSS 1810 a 959 a 476 a 221 a 1030 a 2460 a 1.4
2006
CSCS 1860 a 984 a 476 a 225 a 1085 a 2520 a 1.4
SSSS 1495 b 802 a 333 b 117 b 632 b 2214 a 2.0
SCSC 1774 a
(19%)
833 a
(3.9%)
380 a
(14%)
128 ab
(9%)
1125 a
(78%)
2258 a
(2%) 1.4
2007
CCSC 1756 a
(17%)
864 a
(7.7%)
391 a
(17%)
134 a
(14.5%)
1202 a
(90%)
2209 a
(0.2%) 1.3
SSSS 1839 b 899 b 470 a 141 b 823 c 2515 b 1.8
CSCS 2338 a
(27%)
1099 a
(22%)
549 a
(17%)
176 a
(15%)
1521 a
(85%)
3173 a
(16%) 1.4
CCSS 2189 a
(19%)
1087 a
21%)
561 a
(19%)
168 ab
(19%)
1474 ab
(79%)
2914 ab
(16%) 1.3
2008
SSCS 2185 a
(19%)
1058 ab
(18%)
540 a
(15%)
170 a
(21%)
1243 b
(51%)
2993 a
(19%) 1.5
Notes: Means within a column in a given year followed by the same letter are not significantly different at P 5%. Four replicates were used. Scheduled rota-
tions were: SSSS = continuous soybean, CSCS = 1 year corn followed by 1 year soybean followed by 1 year corn followed by 1 year corn, CCSS = 2 years of
corn followed by 2 years of soybean, SSCS = 2 years of soybean followed by 1 year corn followed by 1 year soybean. Values in parenthesis indicate percentage
increase compared with the continuous soybean (SSSS). C/Lino is a ratio between linoleic acid and combined fatty acids (palmitic + steraic + oleic).
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Table 3. Contrasts comparing pooled data across all soybean-corn rotations vs. continuous soybean to investigate the effects of rota-
tion on soybean seed composition, mineral nutrients, and yield.
variable contrast (mean) difference T Pr > T
2007
Yield (kg ha-1) Rotation (3879) vs. continuous soybean (3478) 411 2.34 0.0356
Protein (%) Rotation (45.56) vs. continuous soybean (43.10) 2.46 6.67 < .0001
Oil (%) Rotation (21.89) vs. continuous soybean (23.10) 1.21 4.43 0.0013
Palmitic acid (%) Rotation (9.93) vs. continuous soybean (9.63) 0.31 1.01 0.3294
Stearic acid (%) Rotation (3.381) vs. continuous soybean (3.375) 0.01 0.15 0.8873
Oleic acid (%) Rotation (30.03) vs. continuous soybean (18.26) 11.81 6.17 < .0001
Linoleic acid (%) Rotation (57.58) vs. continuous soybean (63.83) 6.25 6.78 < .0001
Linolenic acid (%) Rotation (5.79) vs. continuous soybean (5.18) 0.61 1.58 0.1384
B (mg kg-1) Rotation (67.94) vs. continuous soybean (44.50) 23.44 8.66 < .0001
Fe (mg kg-1) Rotation (92.25) vs. continuous soybean (54.00) 38.25 5.87 0.0001
P (g kg-1) Rotation (4.27) vs. continuous soybean (2.55) 1.72 6.01 < .0001
2008
Yield (kg ha-1) Rotation (4940) vs. continuous soybean (4122) 818 3.04 0.0140
Protein (%) Rotation (45.56) vs. continuous soybean (43.1) 0.71 1.88 0.0927
Oil (%) Rotation (21.88) vs. continuous soybean (21.83) 0.06 0.30 0.7686
Palmitic acid (%) Rotation (11.12) vs. continuous soybean (11.40) 0.28 0.97 0.3526
Stearic acid (%) Rotation (3.47) vs. continuous soybean (3.43) 0.04 1.00 0.3370
Oleic acid (%) Rotation (28.50) vs. continuous soybean (20.00) 8.50 8.77 < .0001
Linoleic acid (%) Rotation (61.24) vs. continuous soybean (61.18) 0.07 0.05 0.9601
Linolenic acid (%) Rotation (5.27) vs. continuous soybean (5.03) 0.24 0.75 0.4662
B (mg kg-1) Rotation (69.83) vs. continuous soybean (41.25) 28.58 8.84 < .0001
Fe (mg kg-1) Rotation (86.92) vs. continuous soybean (54.00) 32.92 5.19 0.0006
P (g kg-1) Rotation (5.22) vs. continuous soybean (2.73) 2.50 7.53 < .0001
Notes: Mean = mean value for data pooled across soybean-corn rotation treatments or mean for the continuous soybean treatment. Difference = difference
between means for treatments in the contrast.
3.2. Seed Mineral Concentrations
Seed [Fe], [P], and [B] were all consistently higher in
all soybean-corn rotations than in continuous soybean
Table 4, beginning second year of rotation. In 2007, the
increase in P ranged from 60 to 75%, Fe from 70 to 72%,
and B from 34 to 69%. In 2008, the increase of P ranged
from 82 to 106%, Fe from 32 to 84%, and B from 62 to
77%. Significant differences in seed P, Fe, and B con-
centrations between rotation and continuous soybean
were shown in the second year, unlike in seed composi-
tion constituents, the rotation showed its effect in the
third year Tables 2, 4. There were no significant differ-
ences between rotations for P and Fe in each year, except
for B in 2007 where soybean after two years of corn
(CCSC) showed the highest B concentrations Table 4.
4. DICUSSION
The higher seed yield in all soybean-corn rotation se-
quences compared to continuous soybean are similar to
those reported in previous studies [9,13,14]. The higher
seed protein percentage in 2007 and oleic acid percent-
age in 2007 and 2008 in all soybean-corn rotation com-
pared to continuous soybean may be due to the indirect
effect of soil nutrients improvement due to soybean-corn
rotation. Soil analysis in 2008 indicated that P, Fe, and B
concentrations in any rotation were higher compared
with continuous soybean. These differences in soil nu-
trients between rotation and continuous soybean could
indirectly affect seed composition constituents. For ex-
ample, it was found that B concentration in soil and seed
affected seed protein and oleic fatty acid percentage [16],
and application of foliar B increased protein and oleic
fatty acids and decreased oil and linolenic fatty acid [17].
The opposite trend between protein and oil, and between
oleic and linolenic has been previously observed [5,6,17],
indicating that the inverse relationships between these
constituents still remain a challenge for soybean breed-
ers. The higher ratio between linoleic and oleic acids
Table 1, and between linoleic acid and (palmitic + stearic
+ oleic) Table 2 in continuous soybean indicated a rela-
tive quantity decrease in linoleic acid in rotated crops.
The consistent increase in total protein, oil, and linoleic
acid production on a kg ha-1 in any rotation compared to
monoculture soybean was most likely due to the overall
increase in yield in all rotations. This indicates that rota-
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Table 4. Mean values of seed phosphorus (P), iron (Fe), and boron (B) concentrations in scheduled soybean-corn rotation compared
with continuous soybean in each year.
Year Rotation P (%) Fe (mg kg 1) B (mg kg 1)
2006 SSSS 2.7 b 54.3 b 41.9 c
CSCS 4.1 a 87.5 a 61.5 a
SSSS 2.6 b 54.0 b 44.5 b
2007 SCSC 4.1 a 91.8 a 59.5 b
CCSC 4.5 a 92.8 a 75.3 a
SSSS 2.7 b 54.0 b 41.3 b
2008 CSCS 5.1 a 99.3 a 66.8 a
CCSS 5.0 a 90.0 a 73.0 a
SSCS 5.6 a 71.5 a 70.0 a
Notes: Means within a column in a given year followed by the same letter are not significantly different at P 5%. Four replicates were used. Scheduled rota-
tions were: SSSS = continuous soybean, CSCS = 1 year corn followed by 1 year soybean followed by 1 year corn followed by 1 year corn, CCSS = 2 years of
corn followed by 2 years of soybean, SSCS = 2 years of soybean followed by 1 year corn followed by 1 year soybean.
tion increases total protein, oil, and fatty acids. The con-
sistent increase of seed oleic acid percentage represent a
significant quality benefits for soybean seed as oleic acid is
a desirable fatty acid for oil stability and long-shelf storage.
The change in protein, oil, and linoleic acid concen-
trations among years is likely due changes of growing
season factors, especially temperature. Previous research
showed that temperature affects protein and oil concen-
trations differently [25,29]. Soybean oil concentration
increases as temperature increases up to a point, and then
decreases with further temperature increases [30-32]. The
contribution of temperature to total variability of seed
composition was quantified and ranged from 19.4 to
28.6% for protein and from 4.5 to 6.9% for oil [25] for
early planted soybeans grown in the Mid-South. Weather
data [33] Table 5 showed that there were 5oC differences
for maximum temperature and 3oC for average tempera-
ture between 2007 and 2008. These differences could be
a source of inconsistency in seed composition across
years [25]. Rainfall uniformity Table 6 could also be a
source of inconsistency as indicted by differences in the
seasonal or monthly total rainfall Table 6. Because of
variability across years for seed composition and mineral
nutrients, our approach was to focus mainly on compar-
ing rotations with continuous soybean in each year sepa-
rately to avoid variability across years.
The consistent increase of seed [Fe], [P], and [B] in all
soybean-corn rotations than in continuous soybean, be-
ginning second year of rotation could be due to greater
[Fe], [P], and [B] in soil as a result of the rotation, as
indicated above. The relationships between nutrients in
leaves and seed, and seed composition have been re-
cently investigated. For example, application of B at V5
(vegetative) and R2 (full bloom), and combined (V5 +
R2) stages resulted in a significant increase in protein
and oleic acid [34].
Table 5. Maximum and average air temperature during the growing season in 2005 through 2008.
Maximum air temperature (oC) Average air temperature (oC)
Month 2005 2006 2007 2008 Month 2005 2006 2007 2008
Apr. 24 27 23 23 Apr. 18 21 17 17
May 28 29 30 28 May 22 23 24 22
Jun. 32 33 33 33 Jun. 26 27 27 27
Jul. 33 34 32 35 Jul. 28 28 27 28
Aug. 35 36 37 32 Aug. 29 29 30 27
Sep. 33 31 31 29 Sep. 26 23 26 24
Average 31 32 31 30 Average 25 25 25 24
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Table 6. Rainfall (cm) during the growing season in 2005 through 2008.
Month 2005 2006 2007 2008
Apr 11.51 18.75 8.59 20.27
May 5.36 7.26 3.23 17.5
Jun 1.85 4.6 9.93 1.07
Jul 10.64 4.52 19.66 4.17
Aug 12.65 3.96 8.71 15.32
Sep 17.86 6.91 11.81 30.94
Average 9.98 7.67 10.32 14.88
5. CONCLUSIONS
The results showed that crop rotation increased yield
by 22%. Crop rotation increased seed protein, oil, and
fatty acid production (kg ha-1) and seed [P], [Fe], and [B]
and seed P, Fe, and B content (g ha-1), demonstrating the
beneficial effects of crop rotation for soybean as op-
posed to a continuous cropping scheme. The consistent
higher concentrations of [P], [Fe], and [B], and oleic
acid indicates the possible rotation benefits for higher
seed mineral nutrition and composition qualities. Higher
percentage of seed oleic fatty acid is a desirable trait for
soybean industry because of its positive contribution to
oil stability. Since commercial and public breeders are
working to genetically modify soybean to produce in-
creased oleic acid and decreased linolenic acid in the oil,
this knowledge may help understand the results of
breeding lines and help select target location to grow
new value-added soybeans when they are released.
6. ACKNOWLEDGEMENT
We would like to thank Sandra Mosley for technical assistance and
lab analysis. Also, we would like to thank Gary Shelton and Will Mar-
low for seed preparation and field management. 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 6402-21000-034-000.
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