2008 Joint Annual Meeting (5-9 Oct. 2008): Association Mapping of Reniform Nematode Resistance in Gossypium hirsutum.

718-11 Association Mapping of Reniform Nematode Resistance in Gossypium hirsutum.



Wednesday, 8 October 2008
George R. Brown Convention Center, Exhibit Hall E
Megha V. Sharma, Crop, Soil and Environmental Sciences, University of Arkansas, 122 Plant Sciences Bldg., Fayetteville, AR 72701, Stella Kantartzi, University of Arkansas, 115 Crop Soil and Environmental Sciences, Fayetteville, AR 72701, David Weaver, Auburn University, Auburn U. Dept. of Agronomy & Soils, 202 Funchess Hall, Auburn, AL 36849-5412, Edzard Van Santen, Auburn University, Department of Agronomy and Soils, 257 Funchess Hall, Auburn, AL 36849-5412 and James McD Stewart, University of Arkansas, Ptsc 115, Fayetteville, AR 72701
Cotton (Gossypium spp.) genetic mapping often involves the development, genotyping and phenotyping of F2 or recombinant inbred lines (RIL) derived from an F1 cross between different cultivars or species. For these mapping populations there is extreme disequilibrium between linked loci and there should be no effects of population structure, because of the random sampling, or disequilibrium between non-linked loci, thus the detection and approximate mapping of quantitative trait loci (QTL) is favoured. Association mapping in complex-pedigree populations relevant for plant breeding could prove useful for detecting a higher number of QTLs than in F2- and RIL-derived populations. Advances in the use of Gossypium hirsutum (Upland cotton) breeding require an understanding of the relatedness and ancestry of upland cotton accessions, and identification of simple sequence repeat (SSR) markers associated with agronomically important traits, such as resistance to biotic stresses. One-hundred G. hirsutum accessions (TX) were evaluated for resistance to reniform nematodes and genotyped with 98 SSR markers. The general linear model method was used to disclose marker–trait associations. Marker–trait associations were investigated by fitting single marker regression models for phenotypic traits on marker band intensities with correction for population structure. This study illustrates the potential of association mapping in allotetraploid cotton, because existing phenotypic data, a modest number of SSR markers, and a pioneering statistical analysis, identified interesting associations.