TY  - JOUR
T1  - Planting Date Effect on After-Flowering Partition on Different Soybeans Maturity
Groups and Stem-Termination
AU - , Lingxiao Zhang 
JO  - Agricultural Journal
VL  - 1
IS  - 2
SP  - 64
EP  - 71
PY  - 2006
DA  - 2001/08/19
SN  - 1816-9155
DO  - aj.2006.64.71
UR  - https://makhillpublications.co/view-article.php?doi=aj.2006.64.71
KW  - Soybean
KW  -flowering
KW  -maturity groups
KW  -photoperiod
KW  -phenology
KW  -stem-termination
AB  - To predict effects of environment and genotype on soybean <I>(Glycine max </I>(L.) Merr.) yields under
field conditions, a full understanding of photoperiod effects on growth and development throughout the
soybean life cycle, especially after flowering, is needed. Two field experiments were conducted by using
different planting dates to investigate effects of photoperiod on soybean growth during and after flowering for
the1992 and 1993 growing seasons. Growth stages of 10 soybean strains differing in maturity dates that
included determinate and indeterminate genotypes were recorded throughout growing seasons. Results
indicated that photoperiod affected all stages of soybean growth and development and in some genotypes, this
included pod set and seed filling. Longer photoperiods induced more vegetative growth and delayed the
maturing process. Later plantings (after mid- June) resulted in significantly fewer flowers, pods and seeds per
plant and in significantly lower yields. The mechanism of photoperiod effects on soybean growth before and
after flowering was similar in a quantitative way. This effect was realized through the alteration of the
photosynthate partitioning processes between vegetative and reproductive growth. Due to accelerated
reproductive processes under short photoperiods and high temperatures, the accumulation of dry matter slowed
down or even reversed during the late reproductive stages for early maturing strains or other strains planted
late. The vegetative status of and late MGs (IV or later) at R1 stage was strongly correlated with final yields +
in both determinate and indeterminate strains. and Information gathered from this study will prove valuable
in building a better simulation model for soybean production.
ER  -