Application of non-linear models in description of growth of dual purpose FUNAAB Alpha chickens

Durosaro, Samuel Olutunde; Jeje, Onaolapo Samuel; Ilori, Babatunde Moses; Iyasere, Oluwaseun Serah; Ozoje, Michael Ohiokhuaobo

dc.date.accessioned	2021-08-05T15:17:46Z
dc.date.available	2021-08-05T15:17:46Z
dc.date.issued	2021-08-03
dc.identifier	doi:10.17170/kobra-202107134318
dc.identifier.uri	http://hdl.handle.net/123456789/13080
dc.language.iso	eng	eng
dc.rights	Namensnennung 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	*
dc.subject	brody	eng
dc.subject	goodness of fit	eng
dc.subject	genotype	eng
dc.subject	growth logistics	eng
dc.subject	negative exponential	eng
dc.subject	logistics	eng
dc.subject.ddc	630
dc.title	Application of non-linear models in description of growth of dual purpose FUNAAB Alpha chickens	eng
dc.type	Aufsatz
dcterms.abstract	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.	eng
dcterms.accessRights	open access
dcterms.creator	Durosaro, Samuel Olutunde
dcterms.creator	Jeje, Onaolapo Samuel
dcterms.creator	Ilori, Babatunde Moses
dcterms.creator	Iyasere, Oluwaseun Serah
dcterms.creator	Ozoje, Michael Ohiokhuaobo
dc.subject.swd	Huhn	ger
dc.subject.swd	Wachstum	ger
dc.subject.swd	Genotyp	ger
dc.subject.swd	Güte der Anpassung	ger
dc.subject.swd	Wachstumsmodell	ger
dc.type.version	publishedVersion
dcterms.source.identifier	eissn:2363-6033
dcterms.source.issue	No. 2
dcterms.source.journal	Journal of Agriculture and Rural Development in the Tropics and Subtropics (JARTS)	eng
dcterms.source.pageinfo	147-158
dcterms.source.volume	Vol. 122
kup.iskup	false