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Title: Genetic mapping and QTL analysis for disease resistance using F2 and F5 mapping population derived from the same cross in peanut (Arachis hypogaea L.)

item WANG, H - University Of Georgia
item PANDEY, M - University Of Georgia
item QIAO, L - University Of Georgia
item CULBREATH, A - University Of Georgia
item VARSHNEY, R - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item QIN, H - Hubei Academy Of Agricultural Sciences
item Holbrook, Carl - Corley
item HE, G - Tuskegee University
item Guo, Baozhu

Submitted to: American Peanut Research and Education Society Proceedings
Publication Type: Proceedings
Publication Acceptance Date: 6/1/2013
Publication Date: 7/8/2013
Citation: Wang, H., Pandey, M., Qiao, L., Culbreath, A., Varshney, R., Qin, H., Holbrook Jr, C.C., He, G., Guo, B. 2013. Genetic mapping and QTL analysis for disease resistance using F2 and F5 mapping population derived from the same cross in peanut (Arachis hypogaea L.). In: Proceedings of the American Peanut Research and Eduation Society, July 8-11, 2013, Young Harris, GA. p. 43.

Interpretive Summary:

Technical Abstract: Achieving a high dense genetic map in peanut is very challenging due to availability of limited genomic resources, low polymorphism and large genome. Realizing the importance of dense genetic maps in several genetic and breeding applications, a mapping population derived from Tifrunner × GT-C20 (T population) has been developed which has shown great potential in dealing with the challenges along with identification of QTLs for important diseases such as Tomato spotted wilt virus (TSWV) and leaf spot (LS) along with several other important traits. Both F2 generation and F5:6 (recombinant inbred line-RIL) mapping populations with 94 (TF2) and 158 (TRIL158) individuals were used for construction of genetic maps with 318 and 239 marker loci, respectively. Higher map density could be achieved with TF2 population (5.3 loci/cM) as compared to TRIL158 (5.7 loci/cM) with genome coverage of 1,674.4 cM and 1,213.4 cM, respectively. In order to check the utility of these two genetic maps, QTL analysis was conducted using multi-environment (E) phenotyping data for disease resistance such as thrips (1 E), TSWV (4 E) and LS (10 E) generated each with three replications. A total of 54 QTLs were detected in TF2 population which include two QTLs for thrips (12.14 – 19.43% PVE), 15 for TSWV (4.40–34.92% PVE) and 37 for LS (6.61–27.35% PVE). Similarly for TRIL158 map, total 23 QTLs could be identified which include single QTL for thrips (5.86% PVE), nine for TSWV (5.20 – 14.14% PVE) and 13 for LS (5.95–21.45% PVE). Thus, this population have shown great potential for dense genetic mapping and identification of QTLs controlling several disease and agronomic traits in peanut.