ATMAN POONIA, D. S. PHOGAT*, VERSHA1 AND SHIVAM KUMAR
Department of Genetics and Plant Breeding
College of Agriculture
CCS Haryana Agricultural University, Hisar (125004), India
*(e-mail : dsphogatccshau@gmail.com)
(Received : 12 March 2021; Accepted : 30 March 2021)
SUMMARY
The present study on principal component analysis was conducted with 92 genotypes of oat grown in a randomized block design with three replications at the Research Farm of Forage Section, Department of Genetics and Plant Breeding, CCS HAU, Hisar during rabi 2015-16. The analyses of variance revealed highly significant differences among the genotypes for all the characters at genotypic level. Positive and significant correlations of dry matter yield were recorded with green fodder yield, plant height and seed yield. Path coefficient analysis revealed that characters green fodder yield, plant height and number of tillers/plant had positive and direct effects on dry matter yield. Genetic divergence classified genotypes into nine major clusters. The eight principal components had eigen values more than one and explained 70.01% of the total accumulated variability. The first principal component explained 12.78 % of the total variation followed by the second, third, fourth, fifth, sixth, seventh and eighth with 10.86, 9.81, 8.34, 8.08, 7.20, 6.89 and 6.04%, respectively
Key words:: Principal components, multivariate, genetic divergence, fodder yield, oat