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​Advances in Molecular Breeding for Bruchid (Callosobruchus spp.) Resistance in Mungbean [Vigna radiata (L.) Wilczek]: A Review


DOI: 10.18805/LR-4695    | Article Id: LR-4695 | Page : 933-941
Citation :- ​Advances in Molecular Breeding for Bruchid (Callosobruchus spp.) Resistance in Mungbean [Vigna radiata (L.) Wilczek]: A Review.Legume Research.2022.(45):933-941
Prasanta Kumar Majhi, Tanmaya Kumar Bhoi, Suma C. Mogali, Aalok Shiv, Kishore Chandra Sahoo, Varun Saini prasantakumarmajhi53@gmail.com
Address : Department of Plant Breeding and Genetics, Odisha University of Agriculture and Technology, Regional Research and Technology Transfer Station, Keonjhar-758 002, Odisha, India.
Submitted Date : 14-06-2021
Accepted Date : 31-08-2021

Abstract

Mungbean is one of the most important grain legumes with high-quality dietary protein in India as well in many other Asian countries. But the crop is severely affected by bruchids (Callosobruchus spp.) from field to storage condition. These storage pests not only affect the yield but also reduce the market value and quality of the crops. The chemical method of bruchid management is not economical and environmentally unsafe. So, the host-plant resistance to bruchids would be the best alternative and most sustainable way to control the bruchid. A very limited number of wild accessions and cultivated genotypes are available for the transfer of bruchid resistance gene through conventional breeding. Thus, insights into the molecular mechanism of resistance will help to find out the resistance genes/QTLs easily with the support of available genome sequence and that can be introgressed to the cultivated varieties through marker-assisted backcross breeding (MABB) approach. Therefore, in this review, we focused on QTL mapping, identification of novel QTLs, marker assisted-selection, genomics and transcriptomics study by using advanced molecular tools which will be very helpful for genomic-assisted breeding in mungbean for bruchid resistance.

Keywords

​Bruchid Genomics Marker Mungbean QTLs Transcriptomics


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