Genetic linkage mapping for mungbean yellow mosaic virus resistance and yield-related traits in Vigna mungo

Black gram (Vigna mungo (L.) Hepper, the summer rice fallow pulse of India, also known as urad dal, is a highly nutritious pulse widely used in vegetarian protein diets. Single marker analysis assesses the association between a marker genotype and phenotype segregation, identifying potential quantitative trait loci (QTLs) in a population. SMA for resistance to mungbean yellow mosaic virus and yield-contributing traits were carried out in a set of 90 recombinant inbred lines derived from crossing the high-yielding black-gram variety KKM 1 and the MYMV-resistant variety VBN 6. Analysis revealed eight significant associations with black gram and the resulting map encompasses a total span of 958.13 cM and features 20 SSR regions. By performing single-marker analysis, we successfully identified four SSR markers responsible for MYMV resistance and four SSR markers associated with traits contributing to yield. Notably, four of these MYMV resistancelinked markers were distributed across four linkage groups, LG3, LG4, LG8 and LG9, and the phenotypic variance explained by these associations was 8.12, 8.57, 10.09, and 7.65 %, respectively. Furthermore, four SSRs linked to yield-related traits were identified: the number of primary branches per plant in LG11, the number of clusters per plant in LG10, the number of days to 50 % flowering in LG11 and the number of pods per plant in LG4, with PVEs ranging from 12.26 % to 12.32 %. SMA analysis revealed two remarkable peaks located on LG4 that were significantly associated with the crucial MYMV and the number of pods per plant (74.26 cM). Conversely, LG4 exhibited a strong and robust connection with MYMV resistance, a pivotal trait for preserving crop health and yield. Our research identified five major and three minor associations with MYMV resistance and yield traits, enabling precise marker-assisted breeding for developing MYMV-resistant black gram genotypes with improved yield. (c) 2024 SAAB. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.