Datum
2021-08-03Autor
Durosaro, Samuel OlutundeJeje, Onaolapo SamuelIlori, Babatunde MosesIyasere, Oluwaseun SerahOzoje, Michael OhiokhuaoboSchlagwort
630 Landwirtschaft, Veterinärmedizin HuhnWachstumGenotypGüte der AnpassungWachstumsmodellMetadata
Zur Langanzeige
Aufsatz
Application of non-linear models in description of growth of dual purpose FUNAAB Alpha chickens
Zusammenfassung
Growth is explained mathematically by models that have parameters with biological interpretations. This study was conducted to compare five non-linear growth models (Gompertz, Brody, Logistics, Von Bertalanffy and Negative exponential) in order to describe growth in the three genotypes (normal feather, naked neck and frizzle feather) of the dual purpose FUNAAB Alpha chickens (n=332). Doesn’t Use Derivative iterative method of nonlinear procedure in SAS was used to estimate the model parameters. Computational difficultly, goodness of fit and residuals of the five models were also evaluated. Negative exponential model predicted the highest mature weight for the three genotypes while Logistics model predicted the highest coefficient of intensity of growth. The fitting of the five models presented no computational difficulty for normal feather chickens while Logistics failed to converge for male, naked neck and frizzle feather chickens. Based on goodness of fit (coefficient of determination, Bayesian information criterion, mean square error and residuals), Gompertz model was observed to have the best fit for normal feather and naked neck chickens while Brody model have the best fit for frizzle feather chickens and Von Bertalanffy for male chickens. From subjective approach (comparison of observed and predicted body weights), Logistics and Negative exponential models fitted well for normal feather than other models while Negative exponential model was the fittest among the models for naked neck and frizzle feather chickens and Gompertz for female chickens. It can be concluded that choice of appropriate model in description of growth depends on genotype and sex of dual purpose FUNAAB Alpha chickens.
Zitierform
In: Journal of Agriculture and Rural Development in the Tropics and Subtropics (JARTS) Vol. 122 / No. 2 (2021-08-03) , S. 147-158 ; eissn:2363-6033Sammlung(en)
Vol 122, No 2 (2021) (Journal of Agriculture and Rural Development in the Tropics and Subtropics (JARTS))Zitieren
@article{doi:10.17170/kobra-202107134318,
author={Durosaro, Samuel Olutunde and Jeje, Onaolapo Samuel and Ilori, Babatunde Moses and Iyasere, Oluwaseun Serah and Ozoje, Michael Ohiokhuaobo},
title={Application of non-linear models in description of growth of dual purpose FUNAAB Alpha chickens},
journal={Journal of Agriculture and Rural Development in the Tropics and Subtropics (JARTS)},
year={2021}
}
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2021-08-05T15:17:46Z 2021-08-05T15:17:46Z 2021-08-03 doi:10.17170/kobra-202107134318 http://hdl.handle.net/123456789/13080 eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ brody goodness of fit genotype growth logistics negative exponential logistics 630 Application of non-linear models in description of growth of dual purpose FUNAAB Alpha chickens Aufsatz Growth is explained mathematically by models that have parameters with biological interpretations. This study was conducted to compare five non-linear growth models (Gompertz, Brody, Logistics, Von Bertalanffy and Negative exponential) in order to describe growth in the three genotypes (normal feather, naked neck and frizzle feather) of the dual purpose FUNAAB Alpha chickens (n=332). Doesn’t Use Derivative iterative method of nonlinear procedure in SAS was used to estimate the model parameters. Computational difficultly, goodness of fit and residuals of the five models were also evaluated. Negative exponential model predicted the highest mature weight for the three genotypes while Logistics model predicted the highest coefficient of intensity of growth. The fitting of the five models presented no computational difficulty for normal feather chickens while Logistics failed to converge for male, naked neck and frizzle feather chickens. Based on goodness of fit (coefficient of determination, Bayesian information criterion, mean square error and residuals), Gompertz model was observed to have the best fit for normal feather and naked neck chickens while Brody model have the best fit for frizzle feather chickens and Von Bertalanffy for male chickens. From subjective approach (comparison of observed and predicted body weights), Logistics and Negative exponential models fitted well for normal feather than other models while Negative exponential model was the fittest among the models for naked neck and frizzle feather chickens and Gompertz for female chickens. It can be concluded that choice of appropriate model in description of growth depends on genotype and sex of dual purpose FUNAAB Alpha chickens. open access Durosaro, Samuel Olutunde Jeje, Onaolapo Samuel Ilori, Babatunde Moses Iyasere, Oluwaseun Serah Ozoje, Michael Ohiokhuaobo Huhn Wachstum Genotyp Güte der Anpassung Wachstumsmodell publishedVersion eissn:2363-6033 No. 2 Journal of Agriculture and Rural Development in the Tropics and Subtropics (JARTS) 147-158 Vol. 122 false
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