Predicting the growth performance of growing-finishing pigs based on net energy and digestible lysine intake using multiple regression and artificial neural networks models

BACKGROUNDS: Evaluating the growth performance of pigs in real-time is laborious and expensive, thus mathematical models based on easily accessible variables are developed. Multiple regression (MR) is the most widely used tool to build prediction models in swine nutrition, while the artificial neura...

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Detalles Bibliográficos
Autores principales: Wang, Li, Hu, Qile, Wang, Lu, Shi, Huangwei, Lai, Changhua, Zhang, Shuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102637/
https://www.ncbi.nlm.nih.gov/pubmed/35550214
http://dx.doi.org/10.1186/s40104-022-00707-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102637/
https://www.ncbi.nlm.nih.gov/pubmed/35550214
http://dx.doi.org/10.1186/s40104-022-00707-1

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