Genome-wide association study on growth traits in Colombian creole breeds and crossbreeds with Zebu cattle
Whole genome selection represents an important tool for improving parameters related to the production of livestock. In order to build genomic selection indexes within a particular breed, it is important to identify polymorphisms that have the most significant association with a desired trait. A gen...
| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | Inglés |
| Publicado: |
ResearchGate
2025
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| Materias: | |
| Acceso en línea: | https://www.researchgate.net/publication/265055591_Genome-wide_association_study_on_growth_traits_in_Colombian_creole_breeds_and_crossbreeds_with_Zebu_cattle http://hdl.handle.net/20.500.12324/40743 http://dx.doi.org/10.4238/2014.August.25.5 |
| Sumario: | Whole genome selection represents an important tool for improving parameters related to the production of livestock. In order to build genomic selection indexes within a particular breed, it is important to identify polymorphisms that have the most significant association with a desired trait. A genome-wide marker association approach based on the Illumina BovineSNP50 BeadChipTM was used to identify genomic regions affecting birth weight (BW), weaning weight (WW), and daily weight gain (DWG) in purebred and crossbred creole cattle populations. We genotyped 654 individuals of Blanco Orejinegro (BON), Romosinuano (ROMO) and Cebú breeds and the crossbreeds BON x Cebú and ROMO x Cebú, and tested 5 genetic control models. In total, 85 single nucleotide polymorphisms (SNPs) were related (P < 0.05) to the 3 evaluated traits; BW was associated with the highest number of SNPs. For statistical false-positive correction, Bonferroni correction was used. From the results, we identified 7, 6, and 4 SNPs with strong associations with BW, WW, and DWG, respectively. Many of these SNPs were located on important coding regions of the bovine genome; their ontology
and interactions are discussed herein. The results could contribute
to the identification of genes involved in the physiology of beef
cattle growth and the development of new strategies for breeding
management via genomic selection to improve the productivity of
creole cattle herds. |
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