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Modelos matemáticos para descrever as curvas de crescimento do frango Ri vietnamita
- Source :
- Brazilian Journal of Biology v.83 2023, Brazilian Journal of Biology, Instituto Internacional de Ecologia (IIE), instacron:IIE, Brazilian Journal of Biology, Vol 83 (2021), Brazilian Journal of Biology, Volume: 83, Article number: e249756, Published: 08 NOV 2021
- Publication Year :
- 2023
- Publisher :
- FapUNIFESP (SciELO), 2023.
-
Abstract
- Ri chicken is the most popular backyard chicken breed in Vietnam, but little is known about the growth curve of this breed. This study compared the performances of models with three parameters (Gompertz, Brody, and Logistic) and models containing four parameters (Richards, Bridges, and Janoschek) for describing the growth of Ri chicken. The bodyweight of Ri chicken was recorded weekly from week 1 to week 19. Growth models were fitted using minpack.lm package in R software and Akaike’s information criterion (AIC), Bayesian information criterion (BIC), and root mean square error (RMSE) were used for model comparison. Based on these criteria, the models having four parameters showed better performance than the ones with three parameters, and the Richards model was the best one for males and females. The lowest and highest value of asymmetric weights (α) were obtained by Bridges and Brody models for each of sexes, respectively. Age and weight estimated by the Richard model were 8.46 and 7.51 weeks and 696.88 and 487.58 g for males and for females, respectively. Differences in the growth curves were observed between males and female chicken. Overall, the results suggested using the Richards model for describing the growth curve of Ri chickens. Further studies on the genetics and genomics of the obtained growth parameters are required before using them for the genetic improvement of Ri chickens. Resumo O frango Ri é a raça de frango de quintal mais popular do Vietnã, mas pouco se sabe sobre a curva de crescimento dessa raça. Este estudo comparou o desempenho de modelos com três parâmetros (Gompertz, Brody e Logistic) e modelos contendo quatro parâmetros (Richards, Bridges e Janoschek) para descrever o crescimento do frango Ri. O peso corporal do frango Ri foi registrado semanalmente da semana 1 à semana 19. Os modelos de crescimento foram ajustados usando o pacote minpack.lm no software R e o critério de informação de Akaike (AIC); critério de informação bayesiano (BIC) e erro quadrático médio (RMSE) foram usados para comparação de modelos. Com base nesses critérios, os modelos com quatro parâmetros apresentaram melhor desempenho do que os com três parâmetros, sendo o modelo de Richards o melhor para homens e mulheres. O menor e o maior valor dos pesos assimétricos (α) foram obtidos pelos modelos Bridges e Brody para cada um dos sexos, respectivamente. A idade e o peso estimados pelo modelo de Richard foram de 8,46 e 7,51 semanas e 696,88 e 487,58 g para homens e mulheres, respectivamente. Diferenças nas curvas de crescimento foram observadas entre frangos machos e fêmeas. No geral, os resultados sugeriram o uso do modelo de Richards para descrever a curva de crescimento de frangos Ri. Mais estudos sobre a genética e genômica dos parâmetros de crescimento obtidos são necessários antes de usá-los para o melhoramento genético de frangos Ri.
- Subjects :
- Male
R software
QH301-705.5
Science
chicken
Gompertz function
Biology
Body weight
Models, Biological
Vietnã
body weight
Asian People
Bayesian information criterion
Statistics
Animals
Humans
galinha
Biology (General)
Mathematical model
peso corporal
Botany
Bayes Theorem
indigenous breeds
Growth curve (biology)
Models, Theoretical
curva de crescimento
Breed
QL1-991
Vietnam
QK1-989
raças indígenas
Female
Akaike information criterion
General Agricultural and Biological Sciences
Chickens
Zoology
growth curve
Subjects
Details
- ISSN :
- 16784375 and 15196984
- Volume :
- 83
- Database :
- OpenAIRE
- Journal :
- Brazilian Journal of Biology
- Accession number :
- edsair.doi.dedup.....1f217ca36791b493f3de19672e2cda7d
- Full Text :
- https://doi.org/10.1590/1519-6984.249756