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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | CRUM, T. E. | eng |
| dc.contributor.author | SCHNABEL, R. D. | eng |
| dc.contributor.author | DECKER, J. E. | eng |
| dc.contributor.author | REGITANO, L. C. de A. | eng |
| dc.contributor.author | TAYLOR, J. F. | eng |
| dc.date.accessioned | 2019-11-29T18:09:04Z | - |
| dc.date.available | 2019-11-29T18:09:04Z | - |
| dc.date.created | 2019-11-29 | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Plos One, v. 14, n. 8, e0221471, 2019. | eng |
| dc.identifier.uri | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1115504 | - |
| dc.description | In many beef and some dairy production systems, cross breedingis used to take advan-tage of breed complementarity and heterosis. Admixed animals are frequently identified by their coat color and body conformation phenotypes, however, without pedigree informa-tionit is not possible to identify the expected breed composition of an admixed animal and in the presence of selection, the actual composition may differ from expectation. | eng |
| dc.language.iso | eng | eng |
| dc.rights | openAccess | eng |
| dc.subject | Dairy production systems | eng |
| dc.subject | Pedigree information | eng |
| dc.subject | Beef animals | eng |
| dc.title | CRUMBLER: a tool for the prediction of ancestry in cattle. | eng |
| dc.type | Artigo de periódico | eng |
| dc.date.updated | 2020-01-10T11:11:11Z | |
| dc.subject.nalthesaurus | Beef quality | eng |
| dc.subject.nalthesaurus | Beef cattle | eng |
| riaa.ainfo.id | 1115504 | eng |
| riaa.ainfo.lastupdate | 2020-01-10 -02:00:00 | |
| dc.contributor.institution | Tamar E. Crum, University of Missouri; Robert D. Schnabel, Universityof Missouri; Jared E. Decker, Universityof Missouri; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; Jeremy F. Taylor, University of Missouri. | eng |
| Aparece en las colecciones: | Artigo em periódico indexado (CPPSE)  | |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| CRUMBLERAtoolfortheprediction.pdf | 5,87 MB | Adobe PDF |  Visualizar/Abrir |
