Trait-based clustering and index ranking to identify high-yielding spring wheat genotypes under the conditions of northern Kazakhstan
Clustering baseado em características e ranking de índice para identificar genótipos de trigo de primavera de alto rendimento nas condições do norte do Cazaquistão
Dolinny Y. Esimbekova M. Savin T. Rysbekova A. Kobernitsky V. Miller Y. Dyussibayeva E. Abylkairova M. Zeinullina A. Zhirnova I.
2025Instituto Internacional de Ecologia
Brazilian Journal of Biology
2025#85
This article presents the results of a multi-year evaluation of spring bread wheat based on key morphological and yield-related traits under the conditions of Northern Kazakhstan. Descriptive statistics, correlation and cluster analysis, and selection index methods were applied. Strong positive correlations were identified between the traits of number of grains per spike, productive tillering, and grain yield. Cluster analysis distinguished three groups of genotypes differing in productivity and qualitative characteristics. The use of selection indices allowed to identify the most promising genotypes combining desirable traits. The results highlight the effectiveness of an integrated approach to the selection of breeding material and its relevance for the development of adapted wheat varieties under changing climatic conditions.
cluster analysis , genotype evaluation , selection index , spring wheat , yield components
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A.I. Barayev Research, Production Centre for Grain Farming, Akmola Region, Kazakhstan
Kazakh Research Institute of Agriculture and Plant Growing, Almaty, Kazakhstan
Saken Seifullin Kazakh Agro Technical Research University, Astana, Kazakhstan
A.I. Barayev Research
Kazakh Research Institute of Agriculture and Plant Growing
Saken Seifullin Kazakh Agro Technical Research University
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Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026