|PANDEY, M - University Of Georgia|
|QIAO, L - University Of Georgia|
|WANG, H - University Of Georgia|
|CULBREATH, A - University Of Georgia|
|VARSHNEY, R - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India|
|FENG, S - Qiongzhou University|
|Holbrook, Carl - Corley|
Submitted to: American Peanut Research and Education Society Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 6/10/2013
Publication Date: 7/8/2013
Citation: Pandey, M., Qiao, L., Wang, H., Culbreath, A., Varshney, R., Feng, S., Holbrook Jr, C.C., Guo, B. 2013. Towards achieving dense genetic maps and detecting disease resistance QTLs using a recombinant inbred line (RIL) population in peanut (Arachis hypogaea L.). Proceedings of American Peanut Research and Education Society, July 8-11, 2013, Young Harris, GA. p.42-43.
Technical Abstract: Dense genetic map constructed using recombinant inbred lines (RILs) have several applications in genetic and breeding approaches including the use in identification of consistent QTLs using multi-environment phenotyping data. Realizing the serious threat from Tomato spotted wilt virus (TSWV) and leaf spots (LS) for sustainable peanut production, one RIL population derived from the cross of Tifrunner × GT-C20 (T-population) segregating for several important traits including disease resistance (TSWV, LS, and aflatoxin contamination) was used for genetic mapping and QTL analysis. Initially, parental polymorphism survey and genotyping of a subset of RILs with 158 individuals (TRIL158) was used for construction of a genetic map with 239 marker loci distributed on 26 linkage groups (LGs) with total map distance of 1,213.4 cM (Qin et al. 2012. TAG). Presence of large phenotypic and genotypic diversity in this parental combination prompted us to genotype the whole population (245 RILs) and multi-season phenotyping (each with 3 replications) on disease resistance, morphological descriptors, oil quality and yield components. As a result, a genetic map (TRIL245) with 159 marker loci covering 2261.9 cM genome (20 LGs) could be constructed so far along with continued improvement in marker numbers and genotyping by sequencing of a subset of 113 RILs. QTL analysis using above mentioned two maps (TRIL158, TRIL245) using multiseason phenotyping data resulted in identification of single QTL for thrips (5.86% PVE), nine for TSWV (5.20–14.14% PVE) and 13 for LS (5.95–21.45% PVE) with TRIL158 map while six QTLs for TSWV (5.71–15.24% PVE) and 21 for LS (4.21–22.71% PVE) with TRIL245 map. Thus, high dense genetic maps based on SSRs and genotyping by sequencing will facilitate identification of QTLs with more resolution for diseases resistance, morphological descriptors, oil quality and yield components.