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Graded Buffalypso male growing curve estimation using non lineal mixed models
Graded Buffalypso male growing curve estimation using non lineal mixed models
Monday, August 18, 2014
Posters (The Westin Bayshore)
Abstract Text:
A database of 1188 observations with 11 monthly weightings from weaning to 18 month of age of 108 Buffalypso graded males buffaloes from “Los Naranjos” enterprise at Artemisa province was utilized. A non-lineal mixed model (PROC NLMIXED from SAS, 2007) was applied where fixed effects were: weaning month and year. Individual weights were adjusted to the corresponding ages Different non lineal models variants are studied: Logistic, Gompertz, Brody and Von Bertanlaffy including to β0 parameter the random component b0. The β0, β1 and β2 parameters were considered as fixed effects. The goodness of fit criteria were: maximum likelihood criterion, Akaike information criterion and bayesian information criterion. The Logistic and Gompertz models attained the best adjustments to describe growing curves of the population under study.
Keywords: buffaloes growing curve