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Adjustment of nonlinear models in study of association between genetic polymorphisms and growth in beef cattle

Weights at birth, at weaning and monthly from 8 to 19 months of age of the 11 genotype identified by combination of polymorphic RFLP's of the genes kappa-casein-HinfI (CSN3): AA and AB, growth hormone-AluI (GH): LL and LV, and beta-lactoglobulin-HaeIII (LGB): AA, AB and BB (G1=AALLAA, G2=AALLAB, G3=AALLBB, G4=AALVAB, G5=AALVBB, G6=ABLLAA, G7=ABLLAB, G8=ABLLBB, G9=ABLVAA, G10=ABLVAB e G11=ABLVBB) were used. Data were obtained from three genetic groups: ½Canchim-Nelore (CN), ½Angus-Nelore (AN) and ½Simmental-Nelore (SN), born in 1998 and 1999 in Southeast Brazil. From five nonlinear models studied: Brody, Von Bertalanffy, Richards, Gompertz and Logistic, the more adequate was the last one. The parameters A (asymptotic value), k (maturing rate) and m (inflection point) estimated by Logistic model for each animal, were analyzed by ordinary least squares, by a linear model that included, besides the overall mean, the fixed effects of the genotype, year of birth, sex and feed management. For the CN genetic groups, was detected significant effect of genotype for A and k parameters estimates. The genotypes G3 showed inferior value of A and superior of k in relation to G7 and G8. Considering the AN and SN genetic groups, the effects of genotype on A, k and m parameters were not significant. Nonlinear model application in this study of association between genetic marker and weight trait in beef cattle provided a fitted analysis of the shape of the growth curve regarding the genotype for the CSN3, GH and LGB genes.

Bos taurus x Bos indicus; growth curves; ponderal performance; genetic marker; logistic model


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