Principal Component Analysis with Quantitative Traits in Extant Cotton Varieties (Gossypium Hirsutum L.) and Parental Lines for Diversity

K. Rathinavel

Principal Scientist, Central Institute for Cotton Research, Regional Station, Coimbatore, India.

Corresponding author Email: krathinavelus@gmail.com

DOI : http://dx.doi.org/10.12944/CARJ.6.1.07

Abstract:

The experimental material consisted of 101 extant varieties and parental lines characterized for morphological traits under Distinctiveness Uniformity and Stability (DUS) testing at CICR, Regional Station, Coimbatore, India. Twenty one quantitative traits were taken for observation. The data were utilised to estimate substantial variation and relationship within the extant varieties and to identify the best performing genotypes. Analysis of variance for quantitative traits, in diverse line, showed sizable amount of variability. The highest variation was found for vigour index, plant height, germination per cent, fibre maturity, yield per plant, plant stand, fibre uniformity and ginning per cent when mean performance genotypes were considered. Seed cotton yield showed significantly positive correlation with boll number plant^-1 (0.95), boll weight^-1 (0.53), lint weight (0.50), fibre length (0.27), plant growth habit (0.26), plant height (0.23) and seed index (0.21). Principal component analysis showed the extend of variation by components 1 to 8 that exhibited Eigen value >1.  Cluster analysis based on various morphological traits assorted 101 extant varieties of cotton into three main clusters. Dendrogram arrived based on hierarchal clustering, grouped genotypes based on their morphological traits rather than the geography of origin.

Keywords:

Clustering; Dendrogram; DUS Test; Extant Varieties; Genetic Diversity; Quantitative Traits

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