Table 1.
Counts of coincidence of QTLs identified in the ranking process of the 100 largest additive effects (a) and 100 largest dominance effects (d) obtained in the analysis with the Bayes B model along the five traits.
Table 2.
Heterotic groups of inbred lines defined by principal component analysis.
Table 3.
Mean background heritabilities of five maize traits.
Fig 1.
Genetic clustering of 4,091 lines using principal component analysis (PCA).
The lines belong to the germplasm bank of the United States Department of Agriculture (USDA). The X-axis represents the first principal component (PC1) and the Y-axis the second principal component (PC2). The colors were assigned according to the genetic group, where blue corresponds to the 19 lines closely related to B73 and red to the 19 lines closely related to Mo17.
Table 4.
Values of parametric (P) and estimated genetic correlations between five traits using the models GBLUP-UV-A, GBLUP-UV-AD, GBLUP-MV-A and GBLUP-MV-AD in historical heritabilities.
Table 5.
Estimated and parametric genetic variance components and the sum of squares of the predicted errors of genetic effects estimated using the GBLUP-UV-A, GBLUP-UV-AD, GBLUP-MV-A and GBLUP-MV-AD models in historical heritabilities.
Fig 2.
Correlations between the parametric and estimated genetic effects of the traits fitted to background heritabilities.
Models used: GBLUP-UV-A, GBLUP-UV-AD, GBLUP-MV-A and GBLUP-MV-AD. Traits analyzed: Plant height (PH), ear height (EH), ear length (EL), ear row number (ERN) and kernel weight (KW). (A) correlations between the parametric and estimated total genetic effects; (B) correlations between the parametric and estimated additive effects; (C) correlations between the parametric and estimated dominance effects.
Fig 3.
Correlations between the predicted and observed values based in a 10-fold cross-validation traits fitted to background heritabilities.
Models used: GBLUP-UV-A, GBLUP-UV-AD, GBLUP-MV-A, and GBLUP-MV-AD. Traits analyzed: Plant height (PH), ear height (EH), ear length (EL), ear row number (ERN) and kernel weight (KW).
Fig 4.
Heritability coefficients of traits fitted to background heritability.
Models used: GBLUP-UV-A, GBLUP-UV-AD, GBLUP-MV-A and GBLUP-MV-AD. Traits analyzed: Plant height (PH), ear height (EH), ear length (EL), ear row number (ERN) and kernel weight (KW). (A) Broad-sense heritability coefficients; (B) Additive heritability coefficients; (C) Dominance heritability coefficients.