FAO AGRIS - International System for Agricultural Science and Technology

Prediction of carcass weight using multiple regression, Bayesian networks and artificial neural networks in Nigerian indigenous chickens based on earlier expressed phenotypic traits

2022

A.S. Adenaike(Federal University of Agriculture, Abeokuta (Nigeria). Department of Animal Breeding and Genetics) | O.S. Oloye(Federal University of Agriculture, Abeokuta (Nigeria). Department of Animal Breeding and Genetics) | M.A. Opoola(University of Louisville, Louisville (USA). College of Arts and Sciences. Department of Biology) | H.O. Emmanuel(Federal University of Agriculture, Abeokuta (Nigeria). Department of Animal Breeding and Genetics) | C.O.N. Ikeobi(Federal University of Agriculture, Abeokuta (Nigeria). Department of Animal Breeding and Genetics)


Bibliographic information
Thai Journal of Agricultural Science
ISSN 0049-3589
Pagination
146-160
Other Subjects
Bayesian networks; Artificial neural networks; Land races; Stepwise; Markov blanket; Nigerian indigenous chickens; Multiple regression; Phenotypic traits
Language
English
Note
Summary (En)
Type
Summary; Non-Conventional
Corporate Author
The Agricultural Science Society of Thailand under The Patronage of His Majesty the King, Bangkok (Thailand)

2024-09-23
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