Ensemble of hybrid Bayesian networks for predicting the AMEn of broiler feedstuffs-Reference-Cited by-同舟云学术

Ensemble of hybrid Bayesian networks for predicting the AMEn of broiler feedstuffs

Published:2022-07 Issue: Volume:198 Page:107067
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Alvarenga Tatiane Carvalho,de Lima Renato Ribeiro,Simão Sérgio Domingos,Brandão Júnior Luiz Carlos,de Sousa Bueno Filho Júlio Sílvio,Alvarenga Renata Ribeiro,Rodrigues Paulo Borges,Furtado Leite Daniel

Funder

Ministério da Educação

Instituto Serrapilheira

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference44 articles.

1. Prediction model for true metabolizable energy of feather meal and poultry offal meal using group method of data handling-type neural network;Ahmadi;Poult. Sci.,2008

2. Group method of data handling-type neural network prediction of broiler performance based on dietary metabolizable energy, methionine, and lysine;Ahmadi;J. Appl. Poultry Res.,2007

3. Energetic values of feedstuffs for broilers determined with in vivo assays and prediction equations;Alvarenga;Anim. Feed Sci. Technol.,2011

4. Validation of prediction equations to estimate the energy values of feedstuffs for broilers: Performance and carcass yield;Alvarenga;Asian-Australas J Anim Sci.,2013

5. Validation of prediction equations of energy values of a single ingredient or their combinations in male broilers;Alvarenga;Asian-Austral. J. Anim. Sci.,2015

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