Physiological studies and modeling of photoperiodic effects on flowering and maturity in soybeans (Glycine max (L.) Merr.) differing in maturity
Zhang, Lingxiao
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https://hdl.handle.net/2142/20887
Description
Title
Physiological studies and modeling of photoperiodic effects on flowering and maturity in soybeans (Glycine max (L.) Merr.) differing in maturity
Author(s)
Zhang, Lingxiao
Issue Date
1994
Doctoral Committee Chair(s)
Hesketh, John D.
Department of Study
Biology
Discipline
Biology
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Biology, Plant Physiology
Language
eng
Abstract
Soybean (Glycine max (L.) Merr.) is one of the most important economic crops in the United States, especially in the midwest area such as Illinois. This thesis research involved studies of photoperiod effects on soybean growth and development especially focused on flowering in relating to physiology, phenology, morphology, as well as modeling from three years (1992-1994) of field and controlled experiments. These studies indicated that photoperiod affected soybean growth and development in all stages after emergence, including floral bud induction and initiation, floral bud growth and development, flowering period, pod set and seed filling. However, the rate or effectiveness of photoperiod on plant growth was not the same during the various phases. Influence on early developmental stages, especially before floral bud initiation, was more significant on flowering time and later reproductive growth. Photoperiod controlled plant morphology and vegetative growth and both were closely associated with soybean flowering behavior. Early and late maturity groups responded to photoperiod treatments differently. Later maturity groups showed more sensitivity (or more significant effects) to photoperiod. In order to gain higher yields, soybean seeds should be planted early (no later than early June) in central Illinois area in order to get sufficient plant size and enough duration time for prolonged seed filling period before a killing frost. A model, using 'STELLA' software, was also developed for predicting timing of soybean flowering based on maturity groups behavior and the date of seedling emergence. The model predicted time of flowering well, but can still be improved.
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