Correlation between productivity traits and protein percentage in pea seeds in the conditions of Donbass
https://doi.org/10.31367/2079-8725-2024-94-5-52-57
Abstract
The solution to the most urgent problem of stable and smooth production of vegetable protein in the agro industrial complex of Donbass is practically impossible without introducing new pea varieties into production, the main legume of the region. The main tasks set by the breeders are to improve productivity stability over the years and the overall productivity potential by developing and introducing new, more environmentally flexible and adapted to specific growing conditions genotypes into production. In this regard, there has been given a special role to improving a number of quantitative traits that directly or indirectly affect the overall productivity of plants. The purpose of the current research was to identify the closeness and direction of the correlation of traits that determine productivity and protein percentage in pea seeds, their stability and variability depending on weather changes during a vegetation period. The weather conditions of 2022–2024 were very contrasting, which allowed evaluating the significance of each productivity element in more detail. There has been found that close correlations between seed weight per plant and a number of seeds per plant (r = 0.79***…0.83***), as well as a number of beans per plant (r = 0.69**…0.80***), between a number of beans and seeds per plant (r = 0.79***…0.85***) were studied in relatively favorable years (2022 and 2023). Identification of valuable breeding material by indirect traits in extreme years (2024), when the HTC < 0.2, was significantly complicated. All the obtained correlation coefficients under these conditions were low and unreliable. The results of the correlation of protein percentage in pea seeds with yield structure elements did not reveal a clear correlation between these traits. The correlation between protein percentage in pea seeds and yield structure elements has not been identified due to low and unreliable correlation coefficients, which allows directing pea breeding towards increasing protein percentage in seeds without taking into account the effect of seed productivity.
About the Authors
V. N. Gelyukh
FSBEI HE “Lugansk State Agrarian University named after K. E. Voroshilov”
Russian Federation
Russian Federation
Candidate of Agricultural Sciences, associate professor, head of the department of plant breeding and protection
291008, Lugansk People’s Republic, Lugansk, t. of Lugansky, Artemovsky district, gor. LGAU, Buil. 1; e-mail: nauka_nis_lg@mail.ru
A. R. Ashiev
FSBSI Agricultural Research Center “Donskoy”
Russian Federation
Russian Federation
Candidate of Agricultural Sciences, leading researcher of the laboratory for legumes breeding and seed production
347740, Rostov region, Zernograd, Nauchny Gorodok, 3; e-mail: vniizk30@mail.ru
A. V. Baranovsky
FSBEI HE “Lugansk State Agrarian University named after K. E. Voroshilov”
Russian Federation
Russian Federation
Candidate of Agricultural Sciences, associate professor of the department of agriculture and environment
291008, Lugansk People’s Republic, Lugansk, t. of Lugansky, Artemovsky district, gor. LGAU, Buil. 1; e-mail: nauka_nis_lg@mail.ru
A. S. Sadovoy
FSBEI HE “Lugansk State Agrarian University named after K. E. Voroshilov”
Russian Federation
Russian Federation
senior lecturer of the department of plant breeding and protection
291008, Lugansk People’s Republic, Lugansk, t. of Lugansky, Artemovsky district, gor. LGAU, Buil. 1; e-mail: nauka_nis_lg@mail.ru
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Review
For citations:
Gelyukh V.N., Ashiev A.R., Baranovsky A.V., Sadovoy A.S. Correlation between productivity traits and protein percentage in pea seeds in the conditions of Donbass. Grain Economy of Russia. 2024;16(5):52-57. (In Russ.) https://doi.org/10.31367/2079-8725-2024-94-5-52-57
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