Vol. 6, Issue 6 (2018)
Principal component based agro-morphological performance analysis of French bean (Phaseolus vulgaris)
Author(s): Athikho Kayia Alice, Ajay Kumar Pandey, Siddhartha Singh, Julius Chakma, Brijesh Kumar Singh, Amrita Thokchom and Ashok Chettri
Abstract: On the basis of principle component analysis 15 genotypes of French bean were evaluated to assess the contribution of quantitative traits in genetic variability. The principal component analysis showed that the two principal components explained 64.27% of the total variation. The first Principle component accounted for 39.768% of variation mostly influenced yield, pod length, average pod weight and number of seeds per pod. The second component accounted for 24.502% of the variance and is mostly influenced by plant height and number of seeds per pod. With respect to PC1 and PC2 the distance of each variable showed the contribution of this variable in the variation of genotypes. Cluster analysis of French bean genotypes using distance between cluster and UPGMA, produce two major cluster and two sub cluster in each major cluster.
Pages: 1850-1853 | 387 Views 68 Downloads
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How to cite this article:
Athikho Kayia Alice, Ajay Kumar Pandey, Siddhartha Singh, Julius Chakma, Brijesh Kumar Singh, Amrita Thokchom, Ashok Chettri. Principal component based agro-morphological performance analysis of French bean (Phaseolus vulgaris). Int J Chem Stud 2018;6(6):1850-1853.
