/AnMtgsAbsts2009.53438 Phenotypic and Molecular Evaluation of Soybean Germplasm Resistant to Frogeye Leaf Spot.

Wednesday, November 4, 2009
Convention Center, Exhibit Hall BC, Second Floor

William Clark1, Jolanta Slawinska1, M. Humberto Reyes Valdes2, Jason Bond3 and Stella Kantartzi4, (1)Plant, Soil and Agricultural Systems, Southern Illinois Univ., Carbondale, IL
(2)Fitomejoramiento, Univ. Autónoma Agraria Antonio Narro, Saltillo, Mexico
(3)Department of Plant, Soil and General Agriculture, Southern Illinois Univ., Carbondale, IL
(4)Plant Soil and Agricultural Systems, Southern Illinois Univ., Carbondale, IL
Abstract:
Frogeye leaf spot (FLS), caused by Cercospora sojina Hara, is an important foliar disease of soybean, Glycine max (L.) Merr., in many production areas of the United States. The characteristic lesions caused by the pathogen result in reduced photosynthetic area and in premature defoliation. Using resistant varieties is the most cost effective means to reduce yield loss.. Twenty-four putative resistant lines were evaluated for their phenotypic reaction to C. sojina and their yield performance in a honeycomb design in three divergent locations of southern Illinois. In addition, one-hundred and twenty microsatellites (SSRs) were screened across the soybean genotypes to assess genetic variability and to identify any possible associations with phenotypic characteristics that are related to FLS resistance. Several statistical methods were applied to identify candidate SSR loci that may be valuable for mapping FLS resistance: Multi-dimensional scaling and cluster analyses to reveal different groups of genotypes, Shannon entropy for defining single- and multi-locus diversity as well as SSR informativeness, along with AMOVA and Kruskal-Wallis one-way ANOVA. The phenotypic diversity analysis under nil-competition along with the molecular study provide valuable information for soybean breeders designing strategies for incorporating resistance and for molecular biologists wishing to create recombinant inbred line populations to map these traits.