Agroecological sustainability of varieties of regular bean to adverse vegetation conditions
Journal: Scientific reports of NULES of Ukraine (Vol.2, No. 90)Publication Date: 2021-06-10
Authors : V. A. Mazur I. М. Didur О. P. Tkachuk Н. V. Pantsyrevа;
Page : 6-6
Keywords : variety; resistance; vegetation; unfavorable factors; productivity;
Abstract
Actuality of theme. Insignificant sown area and low yield of common bean seeds do not meet consumer needs for its products in Ukraine. One of the important factors in increasing the sown area and increasing the yield of beans is the correct selection of its varieties, taking into account their agri-environmental resistance to diseases, pests, drought and potential productivity. Goal. Therefore, the aim of our research was to analyze the available range of beans in terms of productivity and resistance to adverse environmental factors. Methods. Studies on the assessment of agroecological resistance of common bean varieties to adverse growing conditions were conducted on the basis of the State Register of Plant Varieties Suitable for Distribution in Ukraine for 2021, Official Descriptions of Plant Varieties and Economic Suitability Indicators submitted in the Official Bulletins, covered in the Information-reference system "Variety", as well as on the materials of scientific research Bezugla O.M., Ovcharuk O.V., Mazur O.V., Palamarchuk V.D., Klisha A.I., Kulinich O.O., Korzh Z.V., Olifirovich S.E., where the indicators of productivity of varieties of common beans are presented. Materials were analyzed by varieties of common beans (grain) and common beans (vegetables). The resistance of bean varieties to pests, diseases and drought was considered as unfavorable growing conditions. The relative resistance of plant varieties to adverse factors is established on a nine-point scale (1 – 9 points), in which 9 points corresponds to the highest resistance, and 1 point – the lowest resistance. Potential yield levels of seeds of grain beans and green beans of vegetable beans were also analyzed. We compared the studied indicators using mathematical-statistical correlation-regression analysis.
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