Forecasting of phenotypic productivity of middle-early soybean varieties
DOI:
https://doi.org/10.21498/2518-1017.13.2.2017.105404Keywords:
soybean, correlation, phenotype productivity model, resulting trait, componental traitAbstract
Purpose. To study biological characteristics of growth and development of middle-early soybean varieties and create a model of phenotype productivity.
Methods. Special and general techniques for studies.
Results. Optimal productivity of plants is forming merely at the expense of efficient ratio of all the elements of their structure. It often happens that in case of underdevelopment of one of the structure components yield to some extent can be offset by better development of other elements. Eight indicators were defined which make the largest contribution to the productivity trait of a variety: seed weight per plant, total number of branches, number of nodes per plant, number of pods per plant, number of seeds per plant, number of flowers, plant height, 1000 kernel weight. The first four indicators provided most of the total contribution to a trait of seed weight per plant. Model building was based on hierarchy of productivity traits display in ontogenesis and compliance of their development in organogenesis. The model consists of two modules of traits – resulting and some componental showing phenotypic realization of the genetic formula. It was found that the plant height significantly influence the number of nodes per plant (r = 0,76), and the number of pods per plant (r = 0,43) depends on this trait. In addition, correlation based on the research was obtained between the number of flowers per plant and plant height (r = 0,35), and number of nodes (r = 0,76). It was established that the number of flowers per plant determines the development of pods on the plant so it is quite strongly correlated with this trait (r = 0,99).
Conclusions. It was determined that the number of pods per plant and the number of seeds per plant have a very strong correlation (r = 0,96). Besides, such trait as the number of seeds per plant has a strong relationship with the seed weight per plant (r = 0,79).
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Copyright (c) 2017 О. І. Присяжнюк, В. Г. Димитров, О. М. Мартинов
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Ukrainian Institute for Plant Varieties Examination 
Селекційно-генетичний інститут
Institute of Plant Physiology and Genetics of the National Academy of Sciences of Ukraine
The National Academy of Agrarian Sciences of Ukraine