Principal component analysis and variability in coriander genotypes

Authors

  • M Anil Kumar Department of Horticulture, S.K.N College of Agriculture (SKN Agriculture University), Jobner-303329, Rajasthan
  • Gulab Choudhary Department of Horticulture, S.K.N College of Agriculture (SKN Agriculture University), Jobner-303329, Rajasthan
  • Manju Netwal Department of Horticulture, S.K.N College of Agriculture (SKN Agriculture University), Jobner-303329, Rajasthan
  • Bhuwnesh Didal NAHEP, S.K.N College of Agriculture (SKN Agriculture University), Jobner-303329, Rajasthan

DOI:

https://doi.org/10.5958/2582-2683.2022.00007.7

Keywords:

Coriander, heritability, genetic advance, Principal Component Analysis, yield

Abstract

The investigation carried out with twenty four diverse genotypes for ten characters revealed high heritability coupled with high genetic advance as percentage of mean for seed yield per plant, umbels per plant, harvest index and seeds per umbellate indicating high additive gene effects and are least influenced by the environment. Hence, the selection based on these characters will be more effective and reliable for crop improvement. The principal component analysis revealed that three components possessed eigen value more than 1. The PC1, PC2 and PC3 contributed 24.03, 20.82 and 17.56 per cent of variability. Together, they accounted for 62.41 per cent of the variability of the genotypes. 

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Published

2022-08-23

Issue

Vol. 17 No. 1 (2022): JOURNAL OF ECO-FRIENDLY AGRICULTURE (Jan-Jun) 2022

Section

Articles

How to Cite

Anil Kumar, M., Choudhary, G., Netwal, M., & Didal, B. (2022). Principal component analysis and variability in coriander genotypes . Journal of Eco-Friendly Agriculture, 17(1), 35–38. https://doi.org/10.5958/2582-2683.2022.00007.7
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