Identification of high yielding and yellow mosaic virus resistance blackgram (Vigna mungo L. Wilczek) genotypes using multivariate analysis

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Research Articles | Published:

Print ISSN : 0970-4078.
Online ISSN : 2229-4473.
Website:www.vegetosindia.org
Pub Email: contact@vegetosindia.org
Doi: 10.1007/s42535-023-00615-3
First Page: 363
Last Page: 372
Views: 1264


Keywords: Blackgram, Genetic variability, MYMV resistance, PDI, Principal component


Abstract


21 blackgram genotypes, including the infector ‘Co 5’, were raised in a Completely Randomized Block design with two replications for two consecutive years (2018 and 2019) to screen blackgram yellow mosaic virus (MYMV) disease resistance under field conditions. Two genotypes viz., NDU 1 and Co 5 were highly susceptible to MYMV having PDI > 40% while other genotypes were resistant with PDI up to 10%. In general, genotypes with higher PDI (> 40%) had a lower number of pods per plant (NPP) and vice versa. The average number of susceptible genotypes pods per plant showed 23.75% reduction in number of pods per plant compared with resistant genotypes. These genotypes have undergone multivariate analysis including genetic variability, correlation, divergence and principal component analysis for eleven biometric traits. Principal component analysis revealed significant variation among traits with the first three principal components explaining approximately 74% of the total variation. Seed yield per plant; days to 50% flowering and percent disease index are important traits determining most of the variation. Mash 338, R3/12, R3/28 and PU 31 are the promising blackgram genotypes identified in the present study. These genotypes will be used to develop high yielding MYMV resistant blackgram varieties having other desirable yield traits.


Blackgram, Genetic variability, MYMV resistance, PDI, Principal component


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Acknowledgements


The authors are grateful to Banaras Hindu University, Varanasi, India for providing the experimental materials and technical support. In addition, the first author is highly thankful to the UGC for providing financial aid for the Ph.D. program.


Author Information


Singh Varsha
Department of Genetics and Plant Breeding, Institute of Agriculture, Banaras Hindu University, Varanasi, India

Singh Mahendra Narain
Department of Genetics and Plant Breeding, Institute of Agriculture, Banaras Hindu University, Varanasi, India


Singh Anil Kumar
Department of Genetics and Plant Breeding, Institute of Agriculture, Banaras Hindu University, Varanasi, India

aksingh25@gmail.com
Madankar Kartik
Department of Genetics and Plant Breeding, Institute of Agriculture, Banaras Hindu University, Varanasi, India


Sinha B.
Department of Genetics and Plant Breeding, Institute of Agriculture, Banaras Hindu University, Varanasi, India