Ability of non-linear mixed models to predict growth in laying hens
ABSTRACT: In this study, the Von Bertalanffy, Richards, Gompertz, Brody, and Logistics non-linear mixed regression models were compared for their ability to estimate the growth curve in commercial laying hens. Data were obtained from 100 Lohmann LSL layers. The animals were identified and then weigh...
- Autores:
-
Galeano Vasco, Luis Fernando
Cerón Muñoz, Mario Fernando
Narváez Solarte, William
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2014
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/43582
- Acceso en línea:
- https://hdl.handle.net/10495/43582
- Palabra clave:
- Aumento de Peso
Weight Gain
Análisis de Regresión
Regression Analysis
Pollos
Chickens
Aves de corral
Poultry
Modelo matemático
Mathematical models
http://aims.fao.org/aos/agrovoc/c_1540
http://aims.fao.org/aos/agrovoc/c_24199
http://aims.fao.org/aos/agrovoc/c_16335
https://id.nlm.nih.gov/mesh/D015430
https://id.nlm.nih.gov/mesh/D012044
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc/4.0/