Predicting expected progeny difference for marbling score in Angus cattle using artificial neural networks and Bayesian regression models

Genetics Selection Evolution

Volumn 45, Issue 1, 2013, Pages

  Okut, Hayrettin ^a,b   Wu, Xiao Liao ^a   Rosa, Guilherme Jm ^a,c   Bauck, Stewart ^d   Woodward, Brent W ^e   Schnabel, Robert D ^f   Taylor, Jeremy F ^f   Gianola, Daniel ^a,c  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b YUZUNCU YIL UNIVERSITY   (Turkey)

^c UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^d Neogen Corporation   (United States)

^e NextGen Consulting   (United States)

^f UNIVERSITY OF MISSOURI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BAYESIAN ANALYSIS; CATTLE; COMPUTER SIMULATION; DATA PROCESSING; ERROR ANALYSIS; MOLECULAR ANALYSIS; NUMERICAL MODEL; PREDICTION;

BOS; TRITICUM AESTIVUM;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; BIOLOGICAL MODEL; BREEDING; CATTLE; GENETICS; GENOME; GENOTYPE; HUMAN; QUANTITATIVE TRAIT; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; BAYES THEOREM; BREEDING; CATTLE; GENOME; GENOTYPE; HUMANS; LINEAR MODELS; MODELS, GENETIC; NEURAL NETWORKS (COMPUTER); POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT, HERITABLE;

EID: 84883641328     PISSN: 0999193X     EISSN: 12979686     Source Type: Journal    
DOI: 10.1186/1297-9686-45-34     Document Type: Article

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