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Artigo de periodico
The use of interactive visualizations for tracking haplotypic inheritance in livestock (2024)
Selli, Alana ; Miller, Stephen P; Ventura, Ricardo Vieira
Source: Ruminants. Unidade: FMVZ
Subjects: HAPLOTIPOS, BOVINOS DE CORTE, GENÉTICA ANIMAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SELLI, Alana e MILLER, Stephen P e VENTURA, Ricardo Vieira. The use of interactive visualizations for tracking haplotypic inheritance in livestock. Ruminants, v. 4, n. 1, p. 90-11, 2024Tradução . . Disponível em: https://doi.org/10.3390/ruminants4010006. Acesso em: 26 jan. 2026.
APA
Selli, A., Miller, S. P., & Ventura, R. V. (2024). The use of interactive visualizations for tracking haplotypic inheritance in livestock. Ruminants, 4( 1), 90-11. doi:10.3390/ruminants4010006
NLM
Selli A, Miller SP, Ventura RV. The use of interactive visualizations for tracking haplotypic inheritance in livestock [Internet]. Ruminants. 2024 ; 4( 1): 90-11.[citado 2026 jan. 26 ] Available from: https://doi.org/10.3390/ruminants4010006
Vancouver
Selli A, Miller SP, Ventura RV. The use of interactive visualizations for tracking haplotypic inheritance in livestock [Internet]. Ruminants. 2024 ; 4( 1): 90-11.[citado 2026 jan. 26 ] Available from: https://doi.org/10.3390/ruminants4010006
Trabalho de evento-resumo periodico
Updating pre-existing genetic evaluations system to evaluate high-throughput data in purebred and crossbred beef cattle (2022)
Lee, Kristin; Munro, Jasper; Ventura, Ricardo Vieira ; Schenkel, Flavio Schramm; Voort, Gordon Vander
Source: Journal of Animal Science. Conference titles: ASAS Annual Meeting. Unidade: FMVZ
Subjects: BOVINOS DE CORTE, RAÇAS ANIMAIS, RECURSOS GENÉTICOS ANIMAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEE, Kristin et al. Updating pre-existing genetic evaluations system to evaluate high-throughput data in purebred and crossbred beef cattle. Journal of Animal Science. Cary: Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo. Disponível em: https://academic.oup.com/jas/article/100/Supplement_3/282/6710042. Acesso em: 26 jan. 2026. , 2022
APA
Lee, K., Munro, J., Ventura, R. V., Schenkel, F. S., & Voort, G. V. (2022). Updating pre-existing genetic evaluations system to evaluate high-throughput data in purebred and crossbred beef cattle. Journal of Animal Science. Cary: Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo. Recuperado de https://academic.oup.com/jas/article/100/Supplement_3/282/6710042
NLM
Lee K, Munro J, Ventura RV, Schenkel FS, Voort GV. Updating pre-existing genetic evaluations system to evaluate high-throughput data in purebred and crossbred beef cattle [Internet]. Journal of Animal Science. 2022 ; 100 282.[citado 2026 jan. 26 ] Available from: https://academic.oup.com/jas/article/100/Supplement_3/282/6710042
Vancouver
Lee K, Munro J, Ventura RV, Schenkel FS, Voort GV. Updating pre-existing genetic evaluations system to evaluate high-throughput data in purebred and crossbred beef cattle [Internet]. Journal of Animal Science. 2022 ; 100 282.[citado 2026 jan. 26 ] Available from: https://academic.oup.com/jas/article/100/Supplement_3/282/6710042
Artigo de periodico
Genomic prediction ability for carcass composition indicator traits in Nellore cattle (2021)
Silva, Rosiane Pereira da; Espigolan, Rafael ; Berton, Mariana Piatto; Lôbo, Raysildo Barbosa ; Magnabosco, Claudio de Ulhôa; Pereira, Angélica Simone Cravo ; Baldi, Fernando
Source: Livestock Science. Unidades: FMVZ, FZEA
Subjects: BOVINOS DE CORTE, GENÉTICA ANIMAL, SELEÇÃO ANIMAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Rosiane Pereira da et al. Genomic prediction ability for carcass composition indicator traits in Nellore cattle. Livestock Science, v. 245, p. 1-7, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.livsci.2021.104421. Acesso em: 26 jan. 2026.
APA
Silva, R. P. da, Espigolan, R., Berton, M. P., Lôbo, R. B., Magnabosco, C. de U., Pereira, A. S. C., & Baldi, F. (2021). Genomic prediction ability for carcass composition indicator traits in Nellore cattle. Livestock Science, 245, 1-7. doi:10.1016/j.livsci.2021.104421
NLM
Silva RP da, Espigolan R, Berton MP, Lôbo RB, Magnabosco C de U, Pereira ASC, Baldi F. Genomic prediction ability for carcass composition indicator traits in Nellore cattle [Internet]. Livestock Science. 2021 ; 245 1-7.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1016/j.livsci.2021.104421
Vancouver
Silva RP da, Espigolan R, Berton MP, Lôbo RB, Magnabosco C de U, Pereira ASC, Baldi F. Genomic prediction ability for carcass composition indicator traits in Nellore cattle [Internet]. Livestock Science. 2021 ; 245 1-7.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1016/j.livsci.2021.104421
Artigo de periodico
Genome-enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods (2021)
Alves, Anderson Antonio Carvalho; Espigolan, Rafael; Bresolin, Tiago; Costa, Rebeka Magalhães da; Fernandes Júnior, Gerardo Alves; Ventura, Ricardo Vieira ; Carvalheiro, Roberto; Albuquerque, Lucia Galvão de
Source: Animal Genetics. Unidade: FMVZ
Subjects: GENOMAS, BOVINOS DE CORTE, MELHORAMENTO GENÉTICO ANIMAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVES, Anderson Antonio Carvalho et al. Genome-enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods. Animal Genetics, v. 52, n. 1, p. 32-46, 2021Tradução . . Disponível em: https://doi.org/10.1111/age.13021. Acesso em: 26 jan. 2026.
APA
Alves, A. A. C., Espigolan, R., Bresolin, T., Costa, R. M. da, Fernandes Júnior, G. A., Ventura, R. V., et al. (2021). Genome-enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods. Animal Genetics, 52( 1), 32-46. doi:10.1111/age.13021
NLM
Alves AAC, Espigolan R, Bresolin T, Costa RM da, Fernandes Júnior GA, Ventura RV, Carvalheiro R, Albuquerque LG de. Genome-enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods [Internet]. Animal Genetics. 2021 ; 52( 1): 32-46.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1111/age.13021
Vancouver
Alves AAC, Espigolan R, Bresolin T, Costa RM da, Fernandes Júnior GA, Ventura RV, Carvalheiro R, Albuquerque LG de. Genome-enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods [Internet]. Animal Genetics. 2021 ; 52( 1): 32-46.[citado 2026 jan. 26 ] Available from: https://doi.org/10.1111/age.13021

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