Using multiple regression, Bayesian networks and artificial neural networks for prediction of total egg production in European quails based on earlier expressed phenotypes

Poultry Science

Volumn 94, Issue 4, 2014, Pages 772-780

  Felipe, Vivian P S ^a   Silva, Martinho A ^b   Valente, Bruno D ^a   Rosa, Guilherme J M ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b UNIVERSIDADE FEDERAL DOS VALES DO JEQUITINHONHA E MUCURI   (Brazil)

Author keywords

Bayesian networks; egg production; non parametric model; phenotypic network; prediction model

Indexed keywords

COTURNIX COTURNIX; PHASIANIDAE;

ANIMAL; ANIMAL HUSBANDRY; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BIOLOGICAL MODEL; BRAZIL; COMPARATIVE STUDY; COTURNIX; PHYSIOLOGY; PROCEDURES; REGRESSION ANALYSIS; REPRODUCTION;

ANIMAL HUSBANDRY; ANIMALS; BAYES THEOREM; BRAZIL; COTURNIX; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS; REPRODUCTION;

EID: 84926672752     PISSN: 00325791     EISSN: 15253171     Source Type: Journal    
DOI: 10.3382/ps/pev031     Document Type: Article

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