Vol. 6, Issue 5 (2018)
Estimation of genetic diversity in foxtail millet [Setaria italica (L.) Beauv.] Germplasm using principal component analysis
Author(s): Ayesha MD and D Ratna Babu
Abstract: Fifty foxtail millet genotypes including three checks were evaluated for understanding genetic diversity of yield and yield attributing traits. In the present study first six principal components with eigen values more than one contributed 85.578 percent towards the total variability that comprised of 32.409 (PC 1), 16.931 (PC 2), 12.758 (PC 3), 9.875 (PC 4), 7.554 (PC 5) and 6.052 (PC 6). Ise-1419 and Ise-195 scored maximum in principal component analysis PCA 2 and PCA 3, respectively. PC1 contributed maximum towards the total variability (32.409), where characters viz., iron, phosphorus, fat and days to 50% flowering explained the maximum variance in this component.
Pages: 2580-2583 | 387 Views 73 Downloads
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How to cite this article:
Ayesha MD, D Ratna Babu. Estimation of genetic diversity in foxtail millet [Setaria italica (L.) Beauv.] Germplasm using principal component analysis. Int J Chem Stud 2018;6(5):2580-2583.
