Understanding the genetic architecture of yield-related traits is essential in breeding high-performing crop varieties. This study evaluated 93 maize genotypes under two environmental conditions—zinc-sufficient (with ZnSO₄) and zinc-deficient (without ZnSO₄)—using an alpha lattice design with two replications. Breeding values for ear traits were estimated using SNP markers and the Best Linear Unbiased Prediction (BLUP) method. Several genotypes exhibited significant breeding values for key traits. For ear length, genotypes Ma039 (in both environments), Ma043 and Ma113 (in normal conditions), and Ma100 (under zinc deficiency) showed high potential, with Ma119 also performing well under normal conditions. For the number of seeds per row, Ma043 stood out in the zinc-sufficient environment. In terms of ear diameter, Ma039 and Ma048 were notable under zinc-deficient conditions, while Ma043 performed best under normal conditions. For economic yield, Ma044 was prominent in normal conditions and Ma100 under zinc deficiency. Finally, for the number of seeds per ear, Ma037 excelled under zinc-deficient conditions, while Ma043, Ma100, Ma113, and Ma119 showed strong performance under normal conditions, with Ma100 also performing well under deficiency. When considering total breeding value across all traits, the top-performing genotypes under zinc-deficient conditions were Ma072, Ma111, Ma055, Ma104, and Ma019. Under normal conditions, Ma111, Ma031, Ma036, Ma034, Ma035, and Ma079 had the highest total breeding values. Several genotypes, including Ma039, Ma100, Ma113, Ma119, Ma048, Ma044, and Ma037, demonstrated positive and significant breeding values across multiple traits, making them strong candidates for use as parents in hybridization programs due to their additive genetic effects. Notably, Ma111 had the highest total breeding value in both normal and zinc-deficient environments, making it a promising genotype for further breeding efforts. Heritability analysis revealed that the number of seeds per ear had the highest heritability in both conditions, indicating that this trait is highly responsive to selection and can significantly enhance breeding efficiency when selected based on phenotype
Type of Study:
Applicable |
Subject:
Subject 01 Received: 2024/02/25 | Accepted: 2025/01/25