IGEVET   21075
INSTITUTO DE GENETICA VETERINARIA "ING. FERNANDO NOEL DULOUT"
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Comparison of different models of adjustment curves in growth in rabbits.
Autor/es:
SILVESTRINI, M.P., CORVA, S., SUZUKI, K, ANTONINI, A.
Lugar:
Córdoba
Reunión:
Congreso; IV Congreso de Cunicultura de las Américas; 2010
Institución organizadora:
World Rabbit Association
Resumen:
There are several equations to model animal growth from birth to mature stage. The goal of
this study is to determine the most appropriate model for the weight of rabbits resulting from
the crossbred of New Zealand and Californian. The modeling was done using the records of
weights from the tenth day of life to culling at ninety days. We used three different non-linear
equations, von Bertalanffy, Gompertz and Logistic. The implementation was done with the
statistical package Stata 11 IC. For the comparison of goodness-of-fit for the different models
were considered: the value of the root mean square error (RMSE), coefficient of
determination (R2), the Akaike information criterion (AIC) and the biological plausibility of
asymptotic weight. Unlike other authors, who describe the Gompertz model as the best fit for
monogastric animals, in our experience, von Bertalanffy equation has the best indicators
(RMSE = 93.75 / R2 = 0.9954 / AIC = 1016.01 ) and estimate an asymptotic weight
according to the breed studied (A = 4.195 kg), while the remaining curves, with smaller but
similar indicators show an underestimation of adult weight.2), the Akaike information criterion (AIC) and the biological plausibility of
asymptotic weight. Unlike other authors, who describe the Gompertz model as the best fit for
monogastric animals, in our experience, von Bertalanffy equation has the best indicators
(RMSE = 93.75 / R2 = 0.9954 / AIC = 1016.01 ) and estimate an asymptotic weight
according to the breed studied (A = 4.195 kg), while the remaining curves, with smaller but
similar indicators show an underestimation of adult weight.