ALLELES ASSOCIATED TO DISEASE SEVERITY INDEX OF MAL DE RÍO CUARTO DISEASE IN MAIZE EXOTIC GERMPLASM

• Published in: BAG. Journal of basic and applied genetics Vol. 31; no. Issue 2; pp. 45 - 53
• Main Authors: Rossi, E.A., Ruiz, M., Bonamico, N.C., Balzarini, M.G.
• Format: Journal Article
• Language: English; Spanish
• Published: Buenos Aires Sociedad Argentina de Genetica 01.12.2020; Sociedad Argentina de Genética
• Subjects: Alleles; Disease; disease severity index; Gene polymorphism; Genetic variability; genome-wide association study; Genomes; Germplasm; Heritability; Hybrids; Marker-assisted selection; Polymorphism; Population studies; qtl; Quantitative trait loci; Single-nucleotide polymorphism; snp; Viral diseases; Argentina
• ISSN: 1666-0390; 1852-6233
• DOI: 10.35407/bag.2020.31.02.05

Mal de Río Cuarto (MRC) is one of the most important viral diseases of maize in Argentina. The disease severity index (DSI) allows to combine the incidence and severity of a disease in a single metric. The genotypic reaction to MRC has been extensively studied in biparental populations. However, this complex trait has not been analyzed by genome-wide association studies (GWAS). The aim of this work is to identify new resistance alleles associated with DSI of MRC in an exotic germplasm from the International Maize and Wheat Improvement Center (CIMMYT). A population of maize lines from CIMMYT was phenotypically evaluated in environments in the area where the disease is endemic. The predictors of genetic effects (BLUP, best linear unbiased predictor) and 78,376 SNP markers (Single Nucleotide Polymorphism) were used to perform the GWAS in 186 maize lines. The values of variance components and mean-basis heritability suggest a wide genotypic variability in the population. The GWAS allowed to identify 11 putative QTL of resistance to MRC. The incorporation of exotic germplasm into local maize breeding programs could contribute favorably to the creation of hybrids with a higher level of resistance to MRC. The predictive ability of associated markers with MRC resistance indicates that marker-assisted selection is an advisable tool for selecting MRC resistant genotypes. Key words: Disease severity index; genome-wide association study; QTL; SNP