Jianming Yu1, Dindo Tabanao2, Zhiwu Zhang3, Gael Pressoir3, Stephen Kresovich4, and Ed Buckler5. (1) K-State Research and Extension, 2004 Throckmorton Plant Science Center, Manhattan, KS 66506-5501, (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.