Genomewide Prediction Accuracy within 969 Maize Biparental Populations

• DOI: 10.2135/cropsci2013.12.0856
• Publication Date: 2014-05-30T15:50:13Z
• Authors: Lian Lian; Amy Jacobson; Shengqiang Zhong; Rex Bernardo
• Keywords: Linkage Disequilibrium; Test weight

ABSTRACT In genomewide selection, the expected correlation between predicted and true genotypic values ( r MG ) has been previously derived as a function of training population size N ), heritability h 2 effective number chromosome segments M e affecting trait. Our objectives were to determine: (i) mean variability in 969 biparental maize Zea mays L.) breeding populations for seven traits, (ii) if can be advance, (iii) how , markers affect . We modified previous equation account linkage disequilibrium marker quantitative trait locus (QTL). Across populations, range (in parentheses) observed was 0.45 (−0.59, 1.03) grain yield, 0.59 (−0.34, 0.96) moisture, 0.55 (−0.24, 1.10) test weight, 0.49 (−0.22, 1.04) stalk lodging, 0.41 (−0.30, 0.93) root 0.47 (−0.45, 0.97) plant height, 0.42 (−0.43, 0.94) ear height. The centered around when accounted for, but had large spread Nh 1/2 strongest association with When exceeded 8, proportion equal or larger than 0.50 reached 90% among all population–trait combinations. conclude it is difficult predict that rules thumb based on help achieve high