Life Sciences Commons^™

Evaluation Of Genotype By Environment Interactions From Unreplicated Multi-Environmental Trials Of Hybrid Maize, Ani A. Elias, Kelly R. Robbins, Dev Niyogi, James J. Camberato, R. W. Doerge, Mitchell R. Tuinstra

Conference on Applied Statistics in Agriculture

Diverse soils and varying weather conditions not only affect overall performance of hybrid maize in multi-environment field studies, but can also cause strong genotype by environment interactions (GEI). Modern maize breeding experiments utilize multilocation trials with augmented field designs to evaluate the performance of unreplicated test hybrids. Augmented designs are resource efficient; however, these designs do not efficiently quantify or test GEI variation in the test hybrids. New methods are being developed that use random regression models to incorporate multiple environmental effects into GEI models to increase their accuracy and predictive ability. Incorporation of varying weather and soil physical variables …