| Registro completo |
| Provedor de dados: |
Ciência Rural
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| País: |
Brazil
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| Título: |
Classical nonlinear models to describe the growth curve for Murrah buffalo breed
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| Autores: |
Araújo,Ronyere Olegário de
Marcondes,Cintia Righetti
Damé,Maria Cecília Florisbal
Garnero,Analía del Valle
Gunski,Ricardo José
Everling,Dionéia Magda
Rorato,Paulo Roberto Nogara
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| Data: |
2012-03-01
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| Ano: |
2012
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| Palavras-chave: |
Asymptotic weight
Buffalo
Maturation rate
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| Resumo: |
With the objective of to adjust nonlinear models for the growth curves for a buffaloes herd raised in floodable lands in Rio Grande do Sul state, monthly records measured from birth to two years-old of 64 males and 63 females born between 1982 and 1989 were used. The models used were: Von Bertalanffy, Brody, Gompertz and Logistic. The parameters were estimated by NLIN procedure and the criteria used to evaluate the adjustment given by the models were: asymptotic standard deviation; coefficient of determination; average absolute deviation of residues and asymptotic index. Von Bertalanffy and Brody models overestimated the male asymptotic weight (A) in 15.9 and 171.3kg, respectively, and the Gompertz and Logistic models underestimated it in 4.5 and 13.4kg, respectively. For females, the Logistic model underestimated the asymptotic weight (-2.09kg), and Gompertz, Von Bertalanffy and Brody overestimated this parameter in 8.04, 17.7, and 280.33kg, respectively. The biggest average deviation was estimated by Brody model for both sexes, characterizing the biggest index. Considering the criteria, it is recommended the Gompertz and Logistic models for adjust females and males Murrah buffaloes breed growth curves.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782012000300022
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| Editor: |
Universidade Federal de Santa Maria
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| Relação: |
10.1590/S0103-84782012000300022
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| Formato: |
text/html
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| Fonte: |
Ciência Rural v.42 n.3 2012
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| Direitos: |
info:eu-repo/semantics/openAccess
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