Jianming Yu1, Dindo Tabanao2, Zhiwu Zhang3, Gael Pressoir3, Stephen Kresovich4, and Ed Buckler5. (1) Kansas State University, Department of Agronomy, 2004 Throckmorton Hall, Manhattan, KS 66506, (2) University of Minnesota, 1991 Upper Buford Circle Ste 411, 1991 Upper Buford Circle Ste 411, Saint Paul, MN 55108-6024, United States of America, (3) Institute for Genomic Diversity, 175 Biotechnology Building, Cornell University, Ithaca, NY 14853, (4) Inst. for Genomic Diversity, 158 Biotech Bldg. Cornell Univ, Ithaca, NY 14853-2703, (5) USDA-ARS, 159 Biotchnology Bldg., Cornell University, Ithaca, NY 14853-2703
Association mapping has been conducted in many different crop species for various complex traits. Besides the population structure issue that is inevitable in studying a diverse collection of germplasm, researchers often wonders about the sample size, number of backgound markers required, and their impact on statistical power. Our objectives are to: 1) determine the power of association mapping with different sample sizes; 2) determine the robustness of relatedness quantification with different numbers of markers and its effect on heritability estimation and statistical power. Empirical molecular and phenotypic data are used in computer simulation.
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Back to The ASA-CSSA-SSSA International Annual Meetings (November 12-16, 2006)
