Assessment of the genetic parameters of soybean genotypes for precocity and productivity in the various cultivation conditions

Abstract

Soybean (Glycine max [L.] Merr) plays a crucial role in the advancement of agriculture in Kazakhstan, serving as a promising food crop and feed source. The primary challenge in boosting soybean production in Northern Kazakhstan lies in the absence of soybean cultivars suited to the region's conditions. As such, the foremost focus of breeding initiatives should be on creating soybean varieties that possess both early maturity and satisfactory yield potential. The objective of this research was to assess the impact of maturity time (MT) on both the yield formation and the adaptive characteristics of soybean varieties from different origins. This evaluation was conducted by analyzing the outcomes of their testing under diverse cultivation conditions in the northern region of Kazakhstan. The soybean cultivars that were examined, originating from various sources, were classified into three primary groups. These groups varied in terms of their growing season duration as well as their yield levels. The way the alleles of the E1-E4 flowering genes were spread out in the identified clusters showed that for soybean varieties where recessive alleles of the E1-E4 genes build up, the growing season usually shorter. Cultivars of Chinese, Russian, and domestic selections isolated as a result of the research were good initial material for use in local breeding programs. Within the framework of the clusters, an environmental assessment of soybean accessions was carried out, which made it possible to determine their degree of plasticity and, in general, their adaptive potential in the conditions of Northern Kazakhstan. The best cultivars were the Chinese selection 'Dongnong 63' and the Russian selection 'SIBNIIK 315'. Hence, the present study successfully discovered soybean cultivars that possess exceptional adaptability and flexibility. These cultivars hold significant potential for cultivation and practical use in the specific environmental circumstances of northern Kazakhstan.

Keywords: Cultivar; Flowering time; Gene; Maturity time; Soybean.

Fig. 1

World soybean production, 2022–2023.

Fig. 2

Length of the maturity time in the context of the studied soybean varieties and their origin. (a) accessions of Chinese selection, (b) accessions of Russian selection and (c) accessions of domestic selection.

Fig. 3

Dendrogram of cluster analysis of soybean varieties of different origins according to the range of the growing season, cf. for 2021–2023.

Fig. 4

Regression of the yield of soybean accessions on the duration of their growing seasons in the context of the studied clusters. a) 1st cluster, b) 2nd cluster, c) 3rd cluster.