Abstract
Classical Quantitative Genetics offers statistical approaches to estimate variance components of important agronomical traits, such as diseases resistance, through different experimental designs. However, the use of RIL in these approaches is limited. As Recombinant Inbred Lines are considered important for developing special breeding projects, we propose a new methodological approach to simultaneously estimate broad and narrow sense heritabilities. This proposed model was applied to calculate heritabilities for resistance to corn ear rots caused by Fusarium verticillioides in three independent RIL populations analyzed by nested ANOVA. Fusarium Incidence (%) and Fusarium Severity heritabilities were significant. The proposed approach proved to be useful for estimating broad and narrow sense heritabilities in the same environment and with these genotypes which is advantageous for corn breeders.
Keywords:
nested Analysis of Variance; Zea mays; Fusarium verticillioides; Quantitative Genetics; Plant Breeding
HIGHLIGHTS
• A new methodological proposal for estimating variance components is presented.
• Proportion of genetic variance was assessed in corn populations for corn ear rot.
• Breeding strategies could be proposed from estimations of heritabilities.
• Nested ANOVA estimates phenotypic variance components in RIL populations.
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