Principal Component Analysis Approach for Yield Attributing Traits in Chilli (Capsicum annum L.) Genotypes

Principal Component Analysis Approach for Yield Attributing Traits in

Chilli (Capsicum annum L.) Genotypes

Pragya Singh1*, P.K. Jain1 and Akanksha Tiwari2

1Department of Horticulture, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur-482004, Madhya Pradesh, India

2Department of Plant Breeding and Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur-482004, Madhya Pradesh, India

Keywords: Chilli, Genotype, Principal Component Analysis, Variability

https://doi.org/10.37273/chesci.cs232050121 • PDF

Abstract

The present investigation entitled was carried out at Horticulture Complex, Maharajpur, Jabalpur (M.P) during Rabi season of 2015-16 with eighteen genotypes in order to study the genetic diversity for different yield attributing characters of chilli by principal component analysis. In this study, out of ten principal components, only five components exhibited >0.5 eigenvalue and showed about 88.85% variability among the traits within the axes exhibited great influence on the phenotype of genotypes. The PC1 accounted for the highest variability (36.93%) to the total variability, followed by 22.87% (PC2), 15.62% (PC3), 7.46% (PC4) and 5.97% (PC5). Thus the results of the principal component analysis revealed, wide genetic variability exists in this chilli genotype accessions.

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