Forecasting of phenotypic productivity of middle-early soybean varieties
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 o...
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| Format: | Article |
| Language: | English |
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Ukrainian Institute for Plant Variety Examination
2017-06-01
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| Series: | Plant Varieties Studying and Protection |
| Subjects: | |
| Online Access: | http://journal.sops.gov.ua/article/view/105404 |
| _version_ | 1818945173454848000 |
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| author | О. І. Присяжнюк В. Г. Димитров О. М. Мартинов |
| author_facet | О. І. Присяжнюк В. Г. Димитров О. М. Мартинов |
| author_sort | О. І. Присяжнюк |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-12-20T07:54:54Z |
| format | Article |
| id | doaj.art-9eed23e391b7487994d06021b6140b30 |
| institution | Directory Open Access Journal |
| issn | 2518-1017 2518-7457 |
| language | English |
| last_indexed | 2024-12-20T07:54:54Z |
| publishDate | 2017-06-01 |
| publisher | Ukrainian Institute for Plant Variety Examination |
| record_format | Article |
| series | Plant Varieties Studying and Protection |
| spelling | doaj.art-9eed23e391b7487994d06021b6140b302022-12-21T19:47:44ZengUkrainian Institute for Plant Variety ExaminationPlant Varieties Studying and Protection2518-10172518-74572017-06-0113216717110.21498/2518-1017.13.2.2017.105404105404Forecasting of phenotypic productivity of middle-early soybean varietiesО. І. Присяжнюк0В. Г. Димитров1О. М. Мартинов2Institute of bioenergy crops and sugar beet NAAS of UkraineUkrainian Institute of the examination of plant varietiesUkrainian Institute of the examination of plant varietiesPurpose. 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).http://journal.sops.gov.ua/article/view/105404soybeancorrelationphenotype productivity modelresulting traitcomponental trait |
| spellingShingle | О. І. Присяжнюк В. Г. Димитров О. М. Мартинов Forecasting of phenotypic productivity of middle-early soybean varieties Plant Varieties Studying and Protection soybean correlation phenotype productivity model resulting trait componental trait |
| title | Forecasting of phenotypic productivity of middle-early soybean varieties |
| title_full | Forecasting of phenotypic productivity of middle-early soybean varieties |
| title_fullStr | Forecasting of phenotypic productivity of middle-early soybean varieties |
| title_full_unstemmed | Forecasting of phenotypic productivity of middle-early soybean varieties |
| title_short | Forecasting of phenotypic productivity of middle-early soybean varieties |
| title_sort | forecasting of phenotypic productivity of middle early soybean varieties |
| topic | soybean correlation phenotype productivity model resulting trait componental trait |
| url | http://journal.sops.gov.ua/article/view/105404 |
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