Assessing Diversity of Sesame Genotypes Using Cluster Analysis and Principal Component Analysis
نویسندگان
چکیده
منابع مشابه
Genetic Diversity of Genotypes of Durum Wheat (Triticum Turgidum L.) Genotypes Based on Cluster and Principal Component Analyses
Genetic diversity is the basis of the natural evolution of plant breeding and biological system are important components of sustainability. The aim of this study was to evaluate 116 genotypes of Triticum turgidum from seven countries in terms of morphological traits. The results showed that high significant differences among the genotypes. The correlation between gra...
متن کاملGenetic Diversity of Genotypes of Durum Wheat (Triticum Turgidum L.) Genotypes Based on Cluster and Principal Component Analyses
Genetic diversity is the basis of the natural evolution of plant breeding and biological system are important components of sustainability. The aim of this study was to evaluate 116 genotypes of Triticum turgidum from seven countries in terms of morphological traits. The results showed that high significant differences among the genotypes. The correlation between gra...
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introduction thermodynamically, the surface waters in mountain environments are unstable and their chemical composition is a reflection of water-rock interactions. few studies have also been undertaken on the geochemistry of the surface waters in mountain environments. hence, this paper deals with the source of elements as well as the chemistry of the stream which drains from the caldera of bid...
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genetic diversity is the basis of the natural evolution of plant breeding and biological system are important components of sustainability. the aim of this study was to evaluate 116 genotypes of triticum turgidum from seven countries in terms of morphological traits. the results showed that high significant differences among the genotypes. the correlation between grain yield ...
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A popular methodology to filter seemingly chaotic atmospheric flow into an ordered set of modes of variability is to identify those patterns of geopotential height that occur often. Historically, understanding of the leading patterns or modes of variability was determined through linear statistical methods. Recently, nonlinear methods, such as kernel principal component analysis (KPCA), have be...
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ژورنال
عنوان ژورنال: International Journal of Current Microbiology and Applied Sciences
سال: 2021
ISSN: 2319-7692,2319-7706
DOI: 10.20546/ijcmas.2021.1001.038