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F Brito

Showing results (301-310 of 539) with videos related to

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BMC Genomics|January 24, 2024
Genetic background of juniper (Juniperus spp.) consumption predicted by fecal near-infrared spectroscopy in divergently selected goats raised in harsh rangeland environmentsHenrique A Mulim, John W Walker, Daniel F Waldron, et al.
Journal of Animal Science|May 15, 2025
Genotype-by-environment interaction for yearling weight of Nellore cattle in pasture and feedlot conditions using a "double" genomic reaction norm modelMário L Santana, Annaiza B Bignardi, Gustavo R D Rodrigues, et al.
Journal of Dairy Science|November 26, 2018
Genetics and genomics of reproductive disorders in Canadian Holstein cattleA R Guarini, D A L Lourenco, L F Brito, et al.
BMC Genomics|March 16, 2022
Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goalsHenrique Alberto Mulim, Luiz F Brito, Luís Fernando Batista Pinto, et al.
Journal of Dairy Science|April 26, 2020
Short communication: Genetic parameter estimates for caprine arthritis encephalitis in dairy goatsE B Schultz, T E Z Santana, F F Silva, et al.
Genetics and Molecular Research : GMR|June 15, 2013
Factors that influence the test day milk yield and compositionF G Silva, L F Brito, R A Torres, et al.
Journal of Dairy Science|September 17, 2018
The genetic architecture of milk ELISA scores as an indicator of Johne's disease (paratuberculosis) in dairy cattleLuiz F Brito, S Mallikarjunappa, M Sargolzaei, et al.
BMC Veterinary Research|May 29, 2020
Association of genetic polymorphisms related to Johne's disease with estimated breeding values of Holstein sires for milk ELISA test scoresSanjay Mallikarjunappa, Flavio S Schenkel, Luiz F Brito, et al.
Journal of Dairy Science|February 23, 2024
Machine learning methods for genomic prediction of cow behavioral traits measured by automatic milking systems in North American Holstein cattleVictor B Pedrosa, Shi-Yi Chen, Leonardo S Gloria, et al.
Journal of Dairy Science|June 25, 2018
Comparison of genomic predictions for lowly heritable traits using multi-step and single-step genomic best linear unbiased predictor in Holstein cattleA R Guarini, D A L Lourenco, L F Brito, et al.
Pageof 54

Showing results (301-310 of 539) with videos related to

Sort By:
Pageof 54
BMC Genomics|January 24, 2024
Genetic background of juniper (Juniperus spp.) consumption predicted by fecal near-infrared spectroscopy in divergently selected goats raised in harsh rangeland environmentsHenrique A Mulim, John W Walker, Daniel F Waldron, et al.
Journal of Animal Science|May 15, 2025
Genotype-by-environment interaction for yearling weight of Nellore cattle in pasture and feedlot conditions using a "double" genomic reaction norm modelMário L Santana, Annaiza B Bignardi, Gustavo R D Rodrigues, et al.
Journal of Dairy Science|November 26, 2018
Genetics and genomics of reproductive disorders in Canadian Holstein cattleA R Guarini, D A L Lourenco, L F Brito, et al.
BMC Genomics|March 16, 2022
Characterization of runs of homozygosity, heterozygosity-enriched regions, and population structure in cattle populations selected for different breeding goalsHenrique Alberto Mulim, Luiz F Brito, Luís Fernando Batista Pinto, et al.
Journal of Dairy Science|April 26, 2020
Short communication: Genetic parameter estimates for caprine arthritis encephalitis in dairy goatsE B Schultz, T E Z Santana, F F Silva, et al.
Genetics and Molecular Research : GMR|June 15, 2013
Factors that influence the test day milk yield and compositionF G Silva, L F Brito, R A Torres, et al.
Journal of Dairy Science|September 17, 2018
The genetic architecture of milk ELISA scores as an indicator of Johne's disease (paratuberculosis) in dairy cattleLuiz F Brito, S Mallikarjunappa, M Sargolzaei, et al.
BMC Veterinary Research|May 29, 2020
Association of genetic polymorphisms related to Johne's disease with estimated breeding values of Holstein sires for milk ELISA test scoresSanjay Mallikarjunappa, Flavio S Schenkel, Luiz F Brito, et al.
Journal of Dairy Science|February 23, 2024
Machine learning methods for genomic prediction of cow behavioral traits measured by automatic milking systems in North American Holstein cattleVictor B Pedrosa, Shi-Yi Chen, Leonardo S Gloria, et al.
Journal of Dairy Science|June 25, 2018
Comparison of genomic predictions for lowly heritable traits using multi-step and single-step genomic best linear unbiased predictor in Holstein cattleA R Guarini, D A L Lourenco, L F Brito, et al.
Pageof 54