Genome mapping of kernel characteristics in hard red spring wheat breeding lines |
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Authors: | Toi J. Tsilo Gary A. Hareland Senay Simsek Shiaoman Chao James A. Anderson |
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Affiliation: | (1) Department of Agronomy and Plant Genetics, University of Minnesota, 411 Borlaug Hall, St. Paul, MN 55108, USA;(2) Wheat Quality Laboratory, United State Department of Agriculture-Agricultural Research Service, Fargo, ND 58105, USA;(3) Department of Plant Sciences, North Dakota State University, Fargo, ND 58105, USA;(4) Biosciences Research Laboratory, United State Department of Agriculture-Agricultural Research Service, Fargo, ND 58105, USA |
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Abstract: | Kernel characteristics, particularly kernel weight, kernel size, and grain protein content, are important components of grain yield and quality in wheat. Development of high performing wheat cultivars, with high grain yield and quality, is a major focus in wheat breeding programs worldwide. Here, we report chromosome regions harboring genes that influence kernel weight, kernel diameter, kernel size distribution, grain protein content, and grain yield in hard red spring wheat breeding lines adapted to the Upper Midwest region of the United States. A genetic linkage map composed of 531 SSR and DArT marker loci spanned a distance of 2,505 cM, covering all 21 chromosomes of wheat. Stable QTL clusters influencing kernel weight, kernel diameter, and kernel size distribution were identified on chromosomes 2A, 5B, and 7A. Phenotypic variation explained by individual QTL at these clusters varied from 5 to 20% depending on the trait. A QTL region on chromosome 2B confers an undesirable pleiotropic effect or a repulsion linkage between grain yield (LOD = 6.7; R 2 = 18%) and grain protein content (LOD = 6.2; R 2 = 13.3%). However, several grain protein and grain yield QTL independent of each other were also identified. Because some of the QTL identified in this study were consistent across environments, DNA markers will provide an opportunity for increasing the frequency of desirable alleles through marker-assisted selection. |
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