Junqiao Song, Angela Pacheco, Amos Alakonya, Andrea S. Cruz-Morales, Carlos Muñoz-Zavala, Jingtao Qu, Chunping Wang, Xuecai Zhang, Felix San Vicente, Thanda Dhliwayo
{"title":"Genome-wide association mapping and genomic prediction of stalk rot in two mid-altitude tropical maize populations","authors":"Junqiao Song, Angela Pacheco, Amos Alakonya, Andrea S. Cruz-Morales, Carlos Muñoz-Zavala, Jingtao Qu, Chunping Wang, Xuecai Zhang, Felix San Vicente, Thanda Dhliwayo","doi":"10.1016/j.cj.2024.02.004","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":501058,"journal":{"name":"The Crop Journal","volume":"56 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Crop Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.cj.2024.02.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.