EVALUATION OF VARIATIONS IN PEARL MILLET (PENNISETUM GLAUCUM) GENOTYPES FOR YIELD AND ITS ATTRIBUTING TRAITS UNDER SEMI-ARID CONDITIONS BY PRINCIPAL COMPONENT ANALYSIS

DILBAGH, K. D. SEHRAWAT, S. K. PAHUJA, RAVISH PANCHTA AND SAGAR ARORA
Department of Genetics and Plant Breeding,
CCS Haryana Agricultural University, Hisar-125 004 (Haryana), India
*(e-mail : dilbagh34437@gmail.com)
(Received: 10 May 2024; Accepted: 22 June 2024)

SUMMARY

To estimate the extent of genetic diversity of 56 Pearl millet genotypes for eight morphological characters, an experiment was carried out at the research farm of Forage Section, Department of Genetics & Plant Breeding, CCS HAU, Hisar in kharif 2020-21. In Principal component analysis (PCA) the eigenvalues were used to determine how many factors to retain. In the present study, the first four principal components (PCs) had eigen values greater than one, and they cumulatively explained 71.3% of the total variation present in the original dataset. The first principal component (PC 1) explained 20.30% of the total variability, while the PC 2, PC 3, and PC 4 explained 19.2%, 17.3%, and 14.5% of the total variability, respectively. O 54, O 34, O 25, O 15, and O 40 were found as the top- ranking genotypes upon PCA analysis with high positive PC1 scores. These genotypes, showed highest overall mean values for the traits positively related to grain yield and its attributing traits. These findings can be useful in formulating breeding strategies for future hybridization programs for yield improvement and are appropriate for classification of diversity among pearl millet germplasm.

Key words: Eigen value, Pearl millet, Principal Component and Variation

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