Genetic analysis for yield and quality contributing parameters in ashwagandha [Withania somnifera (L.) Dunal]

DOI: 10.37992/2023.1403.128

  • Venna Santhosh, B. Prem Kumar, B. Pratibha,
  • L. Sampath and Akarsh Parihar

Abstract

Fourty-eight ashwagandha [Withania somnifera (L.) Dunal] genotypes were studied for the genetic variability, heritability and trait association during  2018-19 based on 13 yield and quality traits. For all the 13 characters studied, highly significant (P < 0.01) differences were observed. Parameters such as withanolides, dry root yield per plant and crude fibre recorded higher estimates for GCV and PCV. High broad sense heritability and genetic advance were recorded for number of primary and secondary branches, number of berries, root length, number of secondary roots, fresh and dry root yield, starch, crude fibre and withanolides. These proved to be promising traits that would respond to selection of better genotypes owing to their high transmissibility and genetic variability. Character association study indicated that dry root yield had positive and significant association with the number of primary and secondary roots, fresh root yield and withanolides at both genotypic and phenotypic levels. Path analysis revealed that number of secondary roots and withanolides were major traits having high positive, direct effect and significant association with dry root yield. Hence, these traits would be quite effective when selected to improve dry root yield in ashwagandha.

Keywords: Genetic variability, heritability, genetic advance, correlation, path analysis

Published
03-10-2023
How to Cite
Venna Santhosh, B. Prem Kumar, B. Pratibha, L. Sampath and Akarsh Parihar

Genetic analysis for yield and quality contributing parameters in ashwagandha [Withania somnifera L. Dunal]

. 2023. Electronic Journal of Plant Breeding, 14 3, 1230-1237. Retrieved from https://ejplantbreeding.org/index.php/EJPB/article/view/4871
Issue
Vol 14 No 3 (2023): EJPB
Section
AGSC 2023

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