Results and Discussion
There
were significant differences between years for
grain yield, tofu yield, protein content, and oil
content (Table 1). Pooled across the two years,
there was a significant difference among
locations within each year for grain yield,
protein content, oil content and 11S/7S ratio.
Grain
yield, tofu yield, protein content, and oil
content were all greater in 1994 than in 1993
(Table 2). In 1993, the protein content of
soybean grown at Kragnes, MN was lower than at
Dwight, ND. This shows that protein content can
vary with location within the same year.
Processors can use this information to test the
protein content of soybean grown in different
locations to determine which location has
produced the highest protein content. Oil content
and 11S/7S ratio also differed among locations
within each year. These results show that the
effect of location within the same year can have
a great influence on chemical constituents of
soybean for both the amount of protein and type
of protein fraction.
There
was a genotype X location within-year interaction
for protein content and 11S/7S ratio. The
magnitude of the differences between Proto and
M86-356 for 11S/7S ratio varied among locations
within each year (Table 3). However, Proto was
significantly greater than M86-356 only at the
1994 Casselton, ND location.
There
were differences in redness and yellowness among
years (Table 4). Tofu produced in 1993 was less
red and more yellow than tofu produced in 1994
(Table 5). There were differences in tofu
firmness and yellowness and soymilk Brix among locations within
years (Table 4). In 1993, the firmest tofu was
produced from soybean grown at Northwood, ND and
Kragnes, MN (Table 5). Location within a year can
have a large influence on tofu firmness. However,
the soymilk was not closely associated with tofu
firmness. In 1993 at Northwood, ND, the firmest
tofu was produced with the highest soymilk Brix.
However, in 1993 at Kragnes, MN, firm tofu was
produced with a low soymilk Brix. Differences in
yellowness among locations within 1993 were
small. However, in 1994, there were large
differences among locations for yellowness.
There
was a significant genotype X location within-year
interaction for whiteness (Table 4). M86-356 was
significantly whiter than Proto only at the 1993
Hendrum, MN environment (Table 6). The genotype X
location within year interaction for whiteness
was primarily due to differences in magnitude
rather than changes in rank.
Tofu
produced from soybean grown in 1993 was less red
and more yellow than tofu produced from soybean
grown in 1994 (Table 5). In both 1993 and 1994,
soybean grown at some locations within a year
produced tofu that was less yellow than other
locations within each of these years. Differences
in the yellowness of tofu also depend on the year
in which the soybean was grown. Processors can
produce tofu that is less yellow by identifying
soybean grown at specific locations within a year
that produce less yellow tofu.
The
cooler weather in 1993 compared to 1994 (Table 7)
was associated with lower protein and oil
content, decreased tofu yield, and lower grain
yield (Table 2). On average, tofu from soybean
produced in 1993 was less red and more yellow
than soybean produced in 1994. Precipitation was
above normal in both 1993 and 1994 at most
locations (Table 8). Soil properties and soil
fertility differed among locations (Table 9). The
greatest association between tofu quality factors
and environmental conditions appears to be due to
the difference in temperature between 1993 and
1994. However, the unique combination of
temperature, precipitation, soil fertility, and
soil type associated with the different
environments could not be replicated. Factors
such as weather and soil were confounded at each
environment and cannot be separated. If locations
within years are considered a random effect, then
averaged across locations within a year, the
effect of years can be evaluated in this context.
Conclusions
Due
to the influence of environment, genotypes should
only be compared for tofu firmness, soymilk solid
content, and color when grown in the same
environment. Processors can benefit by evaluating
the tofu quality of soybean grown at different
locations within a year and purchasing soybean
from those locations that produces the best
quality tofu. Rather than discard soybean
genotypes based on an absolute standard, tofu
quality of experimental lines should be compared
to that of a known check cultivar.
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Project Background
Authors
T.C.
Helms, Associate Professor
Deptartment of Plant Science
North Dakota State University
helms@badlands.nodak.edu
T.D.
Cai,
Food Technologist II
Department of Food and Nutrition
North Dakota State University
tcai@plains.nodak.edu
K.C.
Chang, Professor
Departments of Food and Nutrition and Cereal
Science
North Dakota State University
schang@plains.nodak.edu
J.W.
Enz
Department of Soil Science
North Dakota State University
Corresponding author
T.C. Helms
Location where the
research was (primarily) done
Soybean Research and Utilization Lab
Department of Food and Nutrition
North Dakota State University, Fargo, North
Dakota
Funding source of the
project
USDA-CSREES
Great Plains International Trade Research Program
North Dakota Soybean Council
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