Crop Research
Year : 2013, Volume : 46, Issue : 1to3
First page : ( 217) Last page : ( 222)
Print ISSN : 0970-4884. Online ISSN : 2454-1761.

Multivariate analysis in upland cotton [Gossypium hirsutum L.)

Haritha T., Ahamed M. Lal

Department of Genetics and Plant Breeding, Acharya N. G. Ranga Agricultural University, Bapatla-522 101, Andhra Pradesh, India

Online published on 4 August, 2017.

Abstract

An experiment was conducted to analyze the genetic diversity among 40 genotypes for 21 morpho-physiological characters in upland cotton at Agricultural College Farm, Bapatla, Andhra Pradesh. The 40 genotypes were grouped into seven clusters based on hierarchial cluster analysis. Among all the clusters, cluster II was the largest containing 11 genotypes followed by cluster I with eight genotypes and cluster III with seven genotypes. This random distribution of genotypes indicated absence of parallelism between geographical and genetic diversity. In principal component analysis first eight principal components with eigen value more than one contributed 87.35% towards the total variability. It was, therefore, inferred that the essential features of data set had been represented in the first eight principal components. PC₁ contributed maximum towards variability (24.28%).

Top

Keywords

Hierarchial cluster analysis, Principal component analysis, Upland cotton.

Top