Junqiao Song, Angela Pacheco, Amos Alakonya, Andrea S. Cruz-Morales, Carlos Muñoz-Zavala, Jingtao Qu, Chunping Wang, Xuecai Zhang, Felix San Vicente, Thanda Dhliwayo
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引用次数: 0
摘要
玉米茎腐病会降低谷物产量和质量。有关玉米茎腐病抗性遗传学的信息可帮助育种者设计有效的育种策略。与标记辅助选择相比,基因组预测可能是更有效的茎腐病抗性育种策略。我们对生长在三种环境中的图斯佩诺和非图斯佩诺杂交种池中的 677 个近交系的试交杂种进行了全基因组关联研究(GWAS)和抗性基因组预测,并对 200,681 个单核苷酸多态性(SNPs)进行了基因分型。与茎腐病相关的 18 个 SNP 与以前与植物生物和非生物反应相关的基因家族共享基因组区域。与温带近交系的祖先相比,更多有利的 SNP 单倍型可追溯到热带地区。基因型与环境(G × E)的相互作用提高了基因组预测的准确性。
Genome-wide association mapping and genomic prediction of stalk rot in two mid-altitude tropical maize populations
Maize stalk rot reduces grain yield and quality. Information about the genetics of resistance to maize stalk rot could help breeders design effective breeding strategies for the trait. Genomic prediction may be a more effective breeding strategy for stalk-rot resistance than marker-assisted selection. We performed genome-wide association study (GWAS) and genomic prediction of resistance in testcross hybrids of 677 inbred lines from the Tuxpeño and non-Tuxpeño heterotic pools grown in three environments and genotyped with 200,681 single-nucleotide polymorphisms (SNPs). Eighteen SNPs associated with stalk rot shared genomic regions with gene families previously associated with plant biotic and abiotic responses. More favorable SNP haplotypes traced to tropical than to temperate progenitors of the inbred lines. Incorporating genotype-by-environment (G × E) interaction increased genomic prediction accuracy.