Principal components of genetic diversity and association studies for yield related traits in pearl millet [Pennisetum glaucum (L.) R. Br.]

DOI: 10.37992/2022.1301.025

  • R. Narasimhulu, C. Tara Satyavathi,
  • B. Sahadeva Reddy and B.C Ajay

Abstract

One sixty-eight pearl millet germplasm accessions were evaluated using multivariate techniques, principal component and cluster analysis to explore the extent of genetic diversity and association among the yield and yield contributing traits. The first three principal components PC1, PC2 and PC3 with eigen values more than one explains 25.27, 22.15 and 13.38 per cent, respectively, with a cumulative effect of 60.80 per cent of the total variation. Based on factor loading of three PC’s and association analyses explained that the traits viz., number of productive tillers per plant, 1000-seed weight, panicle diameter and plant height function as excellent selection indicators that exhibit positive loading toward genetic diversity. In cluster analysis all the germplasm accessions under the study were sorted into seven distinct clusters. Cluster I having the highest number of lines followed by cluster IV due to similar ancestry of parental lines. The germplasm accessions 4129, 4163, 4157, 5007, 5058, 4104, 4105, 4146, 4150, 4140, 4123 and ICMV 221 exhibit diversity in both cluster and PCA analyses, indicating that utilizing these lines for hybridization procedure to harness heterosis and to select superior segregants in pearl millet.

Keywords: Pearl Millet, PCA, Biplot, Trait Association and Grain Yield

Published
31-03-2022
How to Cite
R. Narasimhulu, C. Tara Satyavathi, B. Sahadeva Reddy and B.C Ajay
Principal components of genetic diversity and association studies for yield related traits in pearl millet [Pennisetum glaucum L. R. Br.]. 2022. Electronic Journal of Plant Breeding, 13 1, 175-181. Retrieved from https://ejplantbreeding.org/index.php/EJPB/article/view/4082
Issue
Vol 13 No 1 (2022): EJPB
Section
Research Article

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