| Autor: |
Alejandro Amaya Martínez, Rodrigo Martínez Sarmiento, Mario Cerón-Muñoz |
| Jazyk: |
Spanish; Castilian |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Ciencia y Tecnología Agropecuaria, Vol 21, Iss 1, Pp 1-13 (2019) |
| ISSN: |
0122-8706 |
| Popis: |
Conventional genetic evaluations have been framed on estimated breeding values from equation systems of mixed models that consider simultaneously random and fixed effects. Recently, the develop-ment in genome sequencing technologies has allowed obtaining genomic information to include in genetic evaluations in order to increase the accuracy and genetic progress, and decrease the generation interval. The single-step best linear unbiased predictor is a methodolog y developed in the last years and accepts including genomic infor-mation replacing the genomic relationship matrix by a matrix that combines relationship by pedigree, and the genomic relationship of a genotyped popu-lation, allowing the estimation of breeding values for non-genotyped animals. The aim of this review article was to describe the methodolog y and its recent progress, as well as to know some of the strategies that could be used when the number of genotyped animals is low. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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