Characterization of seed physical properties of bean genotypes by multivariate statistical methods Fasulye genotiplerinde çok deǧişkenli istatistiksel yöntemler ile tohum fiziksel özelliklerinin karakterizasyonu


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KARAMAN R.

Journal of Agriculture Faculty of Ege University, cilt.60, sa.3, ss.451-464, 2023 (Scopus, TRDizin) identifier identifier

Özet

Objective: The physical characteristics of seeds are of great importance in harvesting, threshing, processing, classification and storage of seeds. For this reason, the aim of this study was to characterize the bean genotypes of different sizes and colors by using physical properties with multivariate statistical methods. Material and Methods: The study was carried out in the laboratories of Field Crops Department, Agriculture Faculty, Isparta University of Applied Science in 2021. In the study, the physical properties of seeds such as length, width, thickness, aspect ratio, brightness (L*) value, arithmetic mean diameter, geometric mean diameter, kurtosis, sphericity, volume, bulk volume weight, true volume weight, porosity, and surface area were analyzed. It was determined by correlation, principal component analyses and cluster heat maps in accordance with the data obtained in the study. Results: As a result of the study, the G10 genotype obtained from Bolu, which has white seed color in terms of physical properties, came to the fore. As a result of correlation analysis, it was determined that there was a positive relationship between seed length, width and thickness, arithmetic mean diameter, geometric mean diameter, and seed volume. As a result of PCA, 3 independent principal component axes were obtained for traits. Obtained axes accounted for 91.7% of the cumulative variation. According to the clustering analysis, the genotypes were divided into four groups and the traits were divided into three groups. Conclusion: The traits determined as a result of these multivariate analyses are thought to be of practical benefit to breeders on bean genetic materials.