QTL Analysis Of Bruchid Resistance And Important Agronomic Traits On Berken×Acc41 Recombinant Inbred Lines (RIL) In Mungbean

Mungbean [Vigna radiate (L.) wiclzek] is one of the main edible beans in China while bruchid are serious devastating stored pests of grain legumes causing considerable loss to mungbean.The most important of the bruchid beetle in Asian is Callosobruchus chinensis (L). Breeding for bruchid resistance is a major goal in mungbean improvement. Seed dormancy in mungbean is also an important agronomic trait as it relates to pre-harvest sprouting. Therefore, breeding for an intermediate level of dormancy in mungbean is highly desirable. In this study, we analyzed the QTLs for C. chinensis' resistance, seed dormancy, seed weight and other important agronomic traits using a Recombine-inbred-lines (RIL) population from the cross between Berken and ACC41. It will be beneficial to mungbean MAB and has an important role in breeding big, intermediate, bruchid resistance mungbean cultivars. The results are as follow:1. Software WinQTLCart was applied to detect QTLs for C. chinensis resistance. As a result, a QTL named brI on group 9 steadily existed, explaining 74.05% to 79.27% of the phenotypic variations. It is a major QTL for bruchid resistance. The addictive effect of the QTL was positive indicating that the allele of the loci from ACC41 promotes the resistance.2. Software ICiMappingV1.3 was applied to analyse for QTL additive and epistatic effects. 3 QTLs, one on group 1 and two on group 11 were detected for geminating energy, explaining 28.97% of the phenotypic variations. 4 QTLs, two on group 1 and two on group 11 were detected for geminating percentage, explaining 32.59%of the phenotypic variations. 7 QTLs, located on group 2,8,9,10,11 respectively were detected for 100-seed weight, explaining 47.05%of the phenotypic variations. The QTLs located on each of the 13 linkage group except the 13th group. Altogether 26 epistatic effect were detected, explained 2.99%～31.80% of the phenotypic variations. 1 between main QTLs, 8 between main QTLs and unlinked markers, others are all between unlinked markers.3. Software ICiMappingV1.3 was applied to analyse for QTL additive and epistatic effects of important agronomic traits that investigated in Beijing and Guangxi plant sites.Totally, 81 QTLs were detected, 29 for Beijing environment and 52 for Guangxi environment, 6 of them were detected under both environments. The QTLs located on each of the 13 linkage group except the 13th group, explaining most of the phenotypic variations. The phenotypic variations under Beijing environment wree 3.77%～15.15%, 7 QTLs were above 10%, others were between 0% and 10%. The phenotypic variations of QTLs under Guangxi environment were 2.95%～31.36%, 7 QTLs were above 15%, 12 QTLs were below 5% ,others were all between 5% and 15%. 97and 106interaction effects were detected in Beijing and Guangxi, respectively, Genetic effects of each epistatic were 2.24%～327.45%. 12 were between main QTL and unlinked QTL, in which 6for Beijing environment and 6 for Guangxi environment, others are all between unlinked markers.