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<p>Potato (<i>Solanum tuberosum</i> L.) is a globally vital food crop and a rich source of nutrients for human populations, playing a key role in food security. This study aimed to identify superior elite potato genotypes using hierarchical cluster analysis (HCA) and principal component analysis (PCA) for fourteen qualitative and quantitative traits. Hierarchical clustering grouped genotypes into four distinct clusters, with Cluster I containing the maximum number (11) of genotypes showing high performance for tuber growth and quality traits. The intra-cluster and inter-cluster distances ranged from 5.73 (Cluster I) to 3.92 (Cluster III) and 6.81 (between Clusters II and IV) to 4.98 (Clusters I and III), respectively, indicating the presence of significant genetic variation among the studied genotypes. The PCA analysis revealed six principal components (PCs) with eigenvalues exceeding one explained 78.43% of the total variance, with plant height at 60 days after planting, tuber girth, tuber length, number of tubers per plant, the average weight of tuber per plant, specific gravity of tuber and tuber yield per plot contributed more to PC1 and PC2 and indicating their positive influence on tuber yield. Based on statistical analysis, the genotypes in Cluster III and Cluster IV can be considered the most suitable parents for improving yield related traits. Considering HCA and PCA of qualitative and quantitative traits, the genotypes C-6, C-14, C-17, C-20, C-28, P-9, P-23, and P-25 may be selected as promising lines for selection as optimal parents in future breeding programs focused on improving yield and nutritional quality.</p>

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Principal component and cluster analysis-assisted selection of potato (Solanum tuberosum. L) genotypes

  • 期刊论文

  • 发表日期：

    2025年7月24日

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  • Aishwarya K R,
  • Dhirendra Singh,
  • S D Pradeep,
  • Tanvi Mehta,
  • Khyati Singh,
  • Sudesh,
  • Renu Nitwal,
  • J P. Singh

摘要

Potato (Solanum tuberosum L.) is a globally vital food crop and a rich source of nutrients for human populations, playing a key role in food security. This study aimed to identify superior elite potato genotypes using hierarchical cluster analysis (HCA) and principal component analysis (PCA) for fourteen qualitative and quantitative traits. Hierarchical clustering grouped genotypes into four distinct clusters, with Cluster I containing the maximum number (11) of genotypes showing high performance for tuber growth and quality traits. The intra-cluster and inter-cluster distances ranged from 5.73 (Cluster I) to 3.92 (Cluster III) and 6.81 (between Clusters II and IV) to 4.98 (Clusters I and III), respectively, indicating the presence of significant genetic variation among the studied genotypes. The PCA analysis revealed six principal components (PCs) with eigenvalues exceeding one explained 78.43% of the total variance, with plant height at 60 days after planting, tuber girth, tuber length, number of tubers per plant, the average weight of tuber per plant, specific gravity of tuber and tuber yield per plot contributed more to PC1 and PC2 and indicating their positive influence on tuber yield. Based on statistical analysis, the genotypes in Cluster III and Cluster IV can be considered the most suitable parents for improving yield related traits. Considering HCA and PCA of qualitative and quantitative traits, the genotypes C-6, C-14, C-17, C-20, C-28, P-9, P-23, and P-25 may be selected as promising lines for selection as optimal parents in future breeding programs focused on improving yield and nutritional quality.