Please use this identifier to cite or link to this item:
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1032955| Title: | Neural networks to predict breeding values of egg production using phenotypic information. |
| Authors: | CRUZ, V. A. R.  SAVEGNAGO, R. P. SCHMIDT, G. S. LEDUR, M. C. MUNARI, D. P. |
| Affiliation: | VALDECY APARECIDA ROCHA DA CRUZ, FCAV/UNESP; RODRIGO PELICIONI SAVENGNARO, FCAV/UNESP; GILBERTO SILBER SCHMIDT, SRI; MONICA CORREA LEDUR, CNPSA; DANISIO PRADO MUNARI, FCAV/UNESP. |
| Date Issued: | 2014 |
| Citation: | In: WORLD CONGRESS OF GENETICS APPLIED TO LIVESTOCK PRODUCTION, 10., 2014, Vancouver. Proceedings... Vancouver: WCGALP: American Society of Animal Science, 2014. |
| NAL Thesaurus: | body weight breeding value |
| Keywords: | Egg produ c tion Multilayer perceptron |
| Type of Material: | Artigo em anais e proceedings |
| Access: | openAccess |
| Appears in Collections: | Artigo em anais de congresso (CNPSA) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| final80271.pdf | 245,58 kB | Adobe PDF |  View/Open |
