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Vol. 11, Issue 1 (2022)

Variability assessment and association analysis for yield and nutritional traits in improved lentil (Lens culinaris) genotypes

Author(s):
Utkarsh Sharma, M Parikh, RR Saxena, SS Porte and AK Sarawgi
Abstract:
The present study was conducted to assess the genetic variability parameters and associations among the yield, yield attributing and nutritional traits. Variation analysis revealed a narrow difference between PCV and GCV estimates for most of the characters except seed/pod, biological weight and seed yield per. All traits show high heritability coupled with high genetic advance for most of the traits suggesting the preponderance of additive gene action. Correlation coefficient study revealed that seed yield/plant shows significant & positive relationship with biological weight, pods/plant, harvest index, hundred seed weight & seed/pod. The result of association analysis revealed that biological yield per plant and harvest index were the most important components for getting higher yield. The lentil genotypes were also characterized for stem, flower, leaf, growth habit and seed traits as per PPV&FRA guidelines showing considerable variability for all characters studied.
Pages: 237-244  |  320 Views  82 Downloads


The Pharma Innovation Journal
How to cite this article:
Utkarsh Sharma, M Parikh, RR Saxena, SS Porte, AK Sarawgi. Variability assessment and association analysis for yield and nutritional traits in improved lentil (Lens culinaris) genotypes. Pharma Innovation 2022;11(1):237-244.

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