Monir Md M, Zhu Jun
Department of Agronomy, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Front Plant Sci. 2018 Jun 18;9:627. doi: 10.3389/fpls.2018.00627. eCollection 2018.
Leaf orientation traits of maize () are complex traits controlling by multiple loci with additive, dominance, epistasis, and environmental interaction effects. In this study, an attempt was made for identifying the causal loci, and estimating the additive, non-additive, environmental specific genetic effects underpinning leaf traits (leaf length, leaf width, and upper leaf angle) of maize NAM population. Leaf traits were analyzed by using full genetic model and additive model of multiple loci. Analysis with full genetic model identified 38∼47 highly significant loci (-log > 5), while estimated total heritability were 64.32∼79.06% with large contributions due to dominance and dominance related epistasis effects (16.00∼56.91%). Analysis with additive model obtained smaller total heritability ( ≙ 18.68∼29.56%) and detected fewer loci (30∼36) as compared to the full genetic model. There were 12 pleiotropic loci identified for the three leaf traits: eight loci for leaf length and leaf width, and four loci for leaf length and leaf angle. Optimal genotype combinations of superior line (SL) and superior hybrid (SH) were predicted for each of the traits under four different environments based on estimated genotypic effects to facilitate maker-assisted selection for the leaf traits.
玉米（）的叶向性状是由多个位点控制的复杂性状，具有加性、显性、上位性和环境互作效应。本研究旨在鉴定因果位点，并估计支撑玉米NAM群体叶性状（叶长、叶宽和上部叶夹角）的加性、非加性、环境特异性遗传效应。通过使用多位点的全基因模型和加性模型对叶性状进行分析。全基因模型分析鉴定出38至47个高度显著的位点（-log>5），而估计的总遗传力为64.32%至79.06%，其中显性和显性相关上位性效应贡献较大（16.00%至56.91%）。与全基因模型相比，加性模型分析得到的总遗传力较小（≙18.68%至29.56%），检测到的位点较少（30至36个）。鉴定出12个控制这三个叶性状的多效性位点：8个控制叶长和叶宽的位点，4个控制叶长和叶夹角的位点。基于估计的基因型效应，预测了四个不同环境下每个性状的优良品系（SL）和优良杂交种（SH）的最佳基因型组合，以促进叶性状的标记辅助选择。
