Legume Research - An International Journal
Web of Science
  • Year: 2021
  • Volume: 44
  • Issue: 8

Genetic analysis for yield and yield attributing traits in cowpea (Vignaunguiculata L. Walp)

  • Author:
  • Reshmi Rani Das*, Goutam Das, Pranab Talukdar, Seuji Bora Neog
  • Total Page Count: 6
  • Page Number: 900 to 905

Department of Plant Breeding and Genetics, Assam Agricultural University, Jorhat-785 013, Assam, India.

*Corresponding Author: Reshmi Rani Das, Department of Plant Breeding and Genetics, Assam Agricultural University, Jorhat-785 013, Assam, India, Email: dasreshmirani@gmail.com

Online published on 19 August, 2021.

Abstract

The present investigation was conducted comprising of the parental lines and F1 progenies derived from a 6 x 6 diallel cross among cowpea varieties, excluding reciprocals. Analysis of variance revealed presence of sufficient variation among the genotypes for all the characters studied. For seed yield both GCA and SCA variances were significant, while GCA variance was significant for pods per cluster and SCA variance was significant for plant height, number of primary branches and pod length. Variety JCC-4 followed by UPC-622 were good general combiner for yield and yield attributing characters. Maximum SCA effect for seed yield per plant was observed with cross JCC-1 x JCC-4 followed by JCC-3 x JCC-4. Genetic analysis revealed that both additive (D) and dominance (H1 and H2) components were involved in controlling most of the characters. The predominant role of non-additive gene action was evident from relatively higher magnitude of dominance components, including H1, H2 and h2.

Keywords

Combining ability, Cowpea, Genetic analysis, Yield attributing traits