Feasibility and pitfalls of combining small subpopulations for genome‐wide association analysis of maize (Zea mays L.) kernel traits
Abstract Genome‐wide association studies (GWASs) typically require large populations to achieve sufficient statistical power; however, maintaining large populations is labor‐intensive and costly. In this study, we evaluated the feasibility of improving GWAS detection power by strategically integrating small maize (Zea...