Legume Research

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Legume Research, volume 45 issue 12 (december 2022) : 1490-1495

Genetic Component and Vr-Wr Graphical Analysis in Blackgram [Vigna mungo (L.) Hepper]

Neha Sharma, R.K. Mittal, V.K. Sood
1Department of Genetics and Plant Breeding, CSK Himachal Pradesh Agricultural University, Palampur-176 062, Himachal Pradesh, India.
  • Submitted08-09-2020|

  • Accepted11-01-2021|

  • First Online 27-02-2021|

  • doi 10.18805/LR-4505

Cite article:- Sharma Neha, Mittal R.K., Sood V.K. (2022). Genetic Component and Vr-Wr Graphical Analysis in Blackgram [Vigna mungo (L.) Hepper]. Legume Research. 45(12): 1490-1495. doi: 10.18805/LR-4505.
Background: To develop a new high yielding variety, it is important to generate utilitarian recombinants and devise an appropriate strategy for selection and advancement of those recombinants. 
Method: Keeping this in mind, genetic components of yield and its related traits were determined in nine genotypes of blackgram through half diallel analysis using Hayman’s numerical and graphical approach. 
Conclusion: The estimates of genetic components deduced the role of non-additive gene action in the inheritance of all traits. The Vr-Wr graphical analysis revealed that assumptions laid by Hayman for diallel analysis were seldom fulfilled. Epistatic effect was predominant in all traits except days to 75 per cent maturity. Unidirectional dominance was observed in days to 75 per cent maturity, pods per plants and seed yield per plant and crude protein content. One major gene group was found controlling all traits except days to 75 per cent maturity and branches per plant. These findings can be used by breeders to devise appropriate selection methodology for yield improvement in blackgram.
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