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| Natura: | Artículo científico |
| Lingua: | en |
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Fundação APINCO de Ciência e Tecnologia Avícolas
2017
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| Accesso online: | https://www.redalyc.org/articulo.oa?id=179750697004 |
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Sommario:
- Non-Linear Model to Describe Growth Curves of Commercial Turkey in the Tropics of Mexico JC Segura-Correa RH Santos-Ricalde I Palma-Ávila Agrociencias Gomperz Logistic Bertalanffy body weight The objective of this study was to select the best non-linear model that fits the growth curve of turkeys managed under the tropical conditions of Southern Mexico. Data from 481 Hybrid converter turkeys (236 females and 245 males) reared under commercial conditions typical of that region were used. Turkeys were given ad libitum access to feed and water. Body weight was weekly recorded from 1 day to 23 weeks of age. Five non-linear mathematical models (Brody, Gompertz, Logistic, von Bertalanffy and Richards) were chosen to describe the age-weight relationship. The Brody and Richards’ models fail to converge. The best fitting model was chosen based on the average prediction error (APE); the multiple determination coefficient R 2 and the Akaike information criterion (AIC). In both sexes, von Bertalanffy and Gompertz were the best models. The highest estimates of parameter A (mature weight) for both females and males were obtained with the von Bertalanffy model followed by the Gompertz and Logistic. The estimates of A were higher for males than for females. The highest estimates of parameter k (rate of maturity) for both females and males were, in decreasing order for the Logistic, Gompertz, and von Bertalanffy models. k values for female turkeys was higher than for males. The age at the point of inflection and body weight at the age of point of inflection varied with the model used. The largest values of T I and W I corresponded to the Logistic model. Between sexes, the largest T I and W I values corresponded to males. The best models to describe turkey growth were the von Bertalanffy and Gompertz models, because it presented the highest APE, R 2 and AIC values. 2017 artículo científico 1516-635X https://www.redalyc.org/articulo.oa?id=179750697004 en http://www.redalyc.org/revista.oa?id=1797 Revista Brasileira de Ciência Avícola application/pdf Fundação APINCO de Ciência e Tecnologia Avícolas Revista Brasileira de Ciência Avícola (Brasil) Num.1 Vol.19