Artificial Neural Networks to Predict Egg-Production Traits in Commercial Laying Breeder Hens

Author:

Oliveira EB1ORCID,Almeida LGB1ORCID,Rocha DT2ORCID,Furian TQ1ORCID,Borges KA1ORCID,Moraes HLS1ORCID,Nascimento VP1ORCID,Salle CTP1ORCID

Affiliation:

1. Universidade Federal do Rio Grande do Sul, Brazil

2. Universidade Feevale, Brazil

Publisher

FapUNIFESP (SciELO)

Subject

Animal Science and Zoology

Reference38 articles.

1. Artificial neural networks for prediction of physiological and Productive variables of broilers;Abreu LHP;Engenharia Agrícola,2020

2. Effects of hen age and egg weight class on the hatchability of free range indigenous chicken eggs;Abudabos AM;Brazilian Journal of Poultry Science,2017

3. Artificial Neural Networks on Eggs Production Data Management;Almeida LGB;Acta Scientiae Veterinariae,2020

4. Relatório Anual de 2020,2021

5. Egg production forecasting determining efficient modeling approaches;Ahmad AH;Journal of Applied Poultry Research,2011

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