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Vol. 10, Issue 10 (2021)

Principal component analysis in maize (Zea mays L.) under normal sown condition of Bihar

Swapnil, Jaishreepriyanka R, Digvijay Singh and SS Mandal
In the present study, 32 genotypes of maize were grown under normal sown condition of Bihar at Maize Research Farm, Bihar Agricultural University, Sabour (Bhagalpur) during Kharif, 2019-20. The experiment was laid in randomized complete block design with three replications to estimate the contribution of ten quantitative traits to the total variability in maize through Principal component analysis. The traits used for analysis were days to 50% tasseling, days to 50% silking, days to 75% brown husk, plant height, ear height, cob length, cob girth, grain weight, shelling percent and test weight. Out of 10, 3 principal components (PCs) exhibited greater than 1.00 eigen value, and explained 71.76% cumulative variability among the traits studied. The PC1 displayed 42.25% while, PC2 and PC3 exhibited 15.20% and 14.31% variability respectively among the inbreds for the traits under study. This study will be helpful in identifying the variability contributing parameters and selection of suitable genotypes for breeding and utilization in maize improvement for yield attributing traits.
Pages: 641-644  |  402 Views  227 Downloads

The Pharma Innovation Journal
How to cite this article:
Swapnil, Jaishreepriyanka R, Digvijay Singh, SS Mandal. Principal component analysis in maize (Zea mays L.) under normal sown condition of Bihar. Pharma Innovation 2021;10(10):641-644.

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