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Artigo de periodico
Respiratory rate regression in Holstein dairy cattle with deep neural networks: an evaluation on different body regions (2025)
Curti, Paula de Freitas ; Souza, André Moreira ; Kobayashi, Livia Lissa ; Castanheira, Aline Mello ; Pinto, Diógenes Lodi ; Ruiz, Alexandre Merlos ; Andrietta, Lucas Tassoni ; Balieiro, Júlio Cesar de Carvalho ; Rennó, Francisco Palma ; Sousa, Elaine Parros Machado de ; Ventura, Ricardo Vieira
Fonte: Computers and Electronics in Agriculture. Unidades: FMVZ, ICMC
Assuntos: VISÃO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, PECUÁRIA LEITEIRA, GADO HOLANDÊS, ZOOTECNIA DE PRECISÃO
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ABNT
CURTI, Paula de Freitas et al. Respiratory rate regression in Holstein dairy cattle with deep neural networks: an evaluation on different body regions. Computers and Electronics in Agriculture, v. 239, p. 1-9, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2025.110987. Acesso em: 08 out. 2025.
APA
Curti, P. de F., Souza, A. M., Kobayashi, L. L., Castanheira, A. M., Pinto, D. L., Ruiz, A. M., et al. (2025). Respiratory rate regression in Holstein dairy cattle with deep neural networks: an evaluation on different body regions. Computers and Electronics in Agriculture, 239, 1-9. doi:10.1016/j.compag.2025.110987
NLM
Curti P de F, Souza AM, Kobayashi LL, Castanheira AM, Pinto DL, Ruiz AM, Andrietta LT, Balieiro JC de C, Rennó FP, Sousa EPM de, Ventura RV. Respiratory rate regression in Holstein dairy cattle with deep neural networks: an evaluation on different body regions [Internet]. Computers and Electronics in Agriculture. 2025 ; 239 1-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.compag.2025.110987
Vancouver
Curti P de F, Souza AM, Kobayashi LL, Castanheira AM, Pinto DL, Ruiz AM, Andrietta LT, Balieiro JC de C, Rennó FP, Sousa EPM de, Ventura RV. Respiratory rate regression in Holstein dairy cattle with deep neural networks: an evaluation on different body regions [Internet]. Computers and Electronics in Agriculture. 2025 ; 239 1-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.compag.2025.110987
Artigo de periodico
Bayesian recursive and structural equation models to infer causal links among gait visual scores on Campolina horses (2025)
Bussiman, Fernando de Oliveira ; Richter, Jennifer; Hidalgo, Jorge ; Silva, Fabyano Fonseca e ; Ventura, Ricardo Vieira ; Carvalho, Rachel Santos Bueno ; Oliveira, Elisângela Chicaroni de Mattos ; Ferraz, Jose Bento Sterman ; Eler, Joanir Pereira ; Balieiro, Júlio Cesar de Carvalho
Fonte: Journal of Animal Breeding and Genetics. Unidades: FMVZ, FZEA
Assuntos: ALGORITMOS, CAVALO CAMPOLINO, INFERÊNCIA BAYESIANA, LOCOMOÇÃO ANIMAL
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ABNT
BUSSIMAN, Fernando de Oliveira et al. Bayesian recursive and structural equation models to infer causal links among gait visual scores on Campolina horses. Journal of Animal Breeding and Genetics, v. 142, n. 5, p. 463-477, 2025Tradução . . Disponível em: https://doi.org/10.1111/jbg.12919. Acesso em: 08 out. 2025.
APA
Bussiman, F. de O., Richter, J., Hidalgo, J., Silva, F. F. e, Ventura, R. V., Carvalho, R. S. B., et al. (2025). Bayesian recursive and structural equation models to infer causal links among gait visual scores on Campolina horses. Journal of Animal Breeding and Genetics, 142( 5), 463-477. doi:10.1111/jbg.12919
NLM
Bussiman F de O, Richter J, Hidalgo J, Silva FF e, Ventura RV, Carvalho RSB, Oliveira EC de M, Ferraz JBS, Eler JP, Balieiro JC de C. Bayesian recursive and structural equation models to infer causal links among gait visual scores on Campolina horses [Internet]. Journal of Animal Breeding and Genetics. 2025 ; 142( 5): 463-477.[citado 2025 out. 08 ] Available from: https://doi.org/10.1111/jbg.12919
Vancouver
Bussiman F de O, Richter J, Hidalgo J, Silva FF e, Ventura RV, Carvalho RSB, Oliveira EC de M, Ferraz JBS, Eler JP, Balieiro JC de C. Bayesian recursive and structural equation models to infer causal links among gait visual scores on Campolina horses [Internet]. Journal of Animal Breeding and Genetics. 2025 ; 142( 5): 463-477.[citado 2025 out. 08 ] Available from: https://doi.org/10.1111/jbg.12919
Artigo de periodico
Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels (2025)
Souza, André Moreira ; Kobayashi, Livia Lissa ; Andrietta, Lucas Tassoni ; Garbossa, Cesar Augusto Pospissil ; Ventura, Ricardo Vieira ; Sousa, Elaine Parros Machado de
Fonte: Applied Intelligence. Unidades: FMVZ, ICMC
Assuntos: APRENDIZAGEM PROFUNDA, VISÃO COMPUTACIONAL, PROCESSAMENTO DE SINAIS ACÚSTICOS, REDES NEURAIS, SUINOCULTURA, BEM-ESTAR DO ANIMAL
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ABNT
SOUZA, André Moreira et al. Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels. Applied Intelligence, v. 55, n. 7, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1007/s10489-025-06555-6. Acesso em: 08 out. 2025.
APA
Souza, A. M., Kobayashi, L. L., Andrietta, L. T., Garbossa, C. A. P., Ventura, R. V., & Sousa, E. P. M. de. (2025). Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels. Applied Intelligence, 55( 7), 1-12. doi:10.1007/s10489-025-06555-6
NLM
Souza AM, Kobayashi LL, Andrietta LT, Garbossa CAP, Ventura RV, Sousa EPM de. Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels [Internet]. Applied Intelligence. 2025 ; 55( 7): 1-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s10489-025-06555-6
Vancouver
Souza AM, Kobayashi LL, Andrietta LT, Garbossa CAP, Ventura RV, Sousa EPM de. Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels [Internet]. Applied Intelligence. 2025 ; 55( 7): 1-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s10489-025-06555-6
Trabalho de evento-anais periodico
Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview (2023)
Curti, Paula de Freitas ; Selli, Alana ; Pinto, Diógenes Lodi ; Ruiz, Alexandre Merlos ; Balieiro, Júlio Cesar de Carvalho ; Ventura, Ricardo Vieira
Fonte: Animal Reproduction. Nome do evento: Annual Meeting of the Brazilian Embryo Technology Society - SBTE. Unidade: FMVZ
Assuntos: PECUÁRIA, INTELIGÊNCIA ARTIFICIAL, ALGORITMOS
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ABNT
CURTI, Paula de Freitas et al. Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview. Animal Reproduction. Belo Horizonte: Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo. Disponível em: https://doi.org/10.1590/1984-3143-AR2023-0077. Acesso em: 08 out. 2025. , 2023
APA
Curti, P. de F., Selli, A., Pinto, D. L., Ruiz, A. M., Balieiro, J. C. de C., & Ventura, R. V. (2023). Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview. Animal Reproduction. Belo Horizonte: Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo. doi:10.1590/1984-3143-AR2023-0077
NLM
Curti P de F, Selli A, Pinto DL, Ruiz AM, Balieiro JC de C, Ventura RV. Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview [Internet]. Animal Reproduction. 2023 ; 20( 2): 1-14.[citado 2025 out. 08 ] Available from: https://doi.org/10.1590/1984-3143-AR2023-0077
Vancouver
Curti P de F, Selli A, Pinto DL, Ruiz AM, Balieiro JC de C, Ventura RV. Applications of livestock monitoring devices and machine learning algorithms in animal production and reproduction: an overview [Internet]. Animal Reproduction. 2023 ; 20( 2): 1-14.[citado 2025 out. 08 ] Available from: https://doi.org/10.1590/1984-3143-AR2023-0077
Artigo de periodico
Image feature extraction via local binary patterns for marbling score classification in beef cattle using tree-based algorithms (2023)
Pinto, Diógenes Lodi ; Selli, Alana ; Tulpan, Dan; Andrietta, Lucas Tassoni ; Garbossa, Pollyana Leite Matioli ; Voort, Gordon Vander; Munro, Jasper; McMorris, Mike; Alves, Anderson Antonio Carvalho; Carvalheiro, Roberto ; Poleti, Mirele Daiana ; Balieiro, Júlio Cesar de Carvalho ; Ventura, Ricardo Vieira
Fonte: Livestock Science. Unidades: FZEA, FMVZ
Assuntos: BOVINOS DE CORTE, CARNES E DERIVADOS, ALGORITMOS, APRENDIZADO COMPUTACIONAL
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ABNT
PINTO, Diógenes Lodi et al. Image feature extraction via local binary patterns for marbling score classification in beef cattle using tree-based algorithms. Livestock Science, v. 267, p. 1-10, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.livsci.2022.105152. Acesso em: 08 out. 2025.
APA
Pinto, D. L., Selli, A., Tulpan, D., Andrietta, L. T., Garbossa, P. L. M., Voort, G. V., et al. (2023). Image feature extraction via local binary patterns for marbling score classification in beef cattle using tree-based algorithms. Livestock Science, 267, 1-10. doi:10.1016/j.livsci.2022.105152
NLM
Pinto DL, Selli A, Tulpan D, Andrietta LT, Garbossa PLM, Voort GV, Munro J, McMorris M, Alves AAC, Carvalheiro R, Poleti MD, Balieiro JC de C, Ventura RV. Image feature extraction via local binary patterns for marbling score classification in beef cattle using tree-based algorithms [Internet]. Livestock Science. 2023 ; 267 1-10.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.livsci.2022.105152
Vancouver
Pinto DL, Selli A, Tulpan D, Andrietta LT, Garbossa PLM, Voort GV, Munro J, McMorris M, Alves AAC, Carvalheiro R, Poleti MD, Balieiro JC de C, Ventura RV. Image feature extraction via local binary patterns for marbling score classification in beef cattle using tree-based algorithms [Internet]. Livestock Science. 2023 ; 267 1-10.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.livsci.2022.105152
Artigo de periodico
A random forest-based genome-wide scan reveals fertility-related candidate genes and potential inter-chromosomal epistatic regions associated with age at first calving in Nellore cattle (2022)
Alves, Anderson Antonio Carvalho; Costa, Rebeka Magalhães da; Fonseca, Larissa Fernanda Simielli; Carvalheiro, Roberto; Ventura, Ricardo Vieira ; Rosa, Guilherme Jordão de Magalhães; Albuquerque, Lúcia Galvão de
Fonte: Frontiers in Genetics. Unidade: FMVZ
Assuntos: GADO NELORE, BOVINOS DE CORTE, GENOMAS, FERTILIDADE
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ABNT
ALVES, Anderson Antonio Carvalho et al. A random forest-based genome-wide scan reveals fertility-related candidate genes and potential inter-chromosomal epistatic regions associated with age at first calving in Nellore cattle. Frontiers in Genetics, v. 13, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.3389/fgene.2022.834724. Acesso em: 08 out. 2025.
APA
Alves, A. A. C., Costa, R. M. da, Fonseca, L. F. S., Carvalheiro, R., Ventura, R. V., Rosa, G. J. de M., & Albuquerque, L. G. de. (2022). A random forest-based genome-wide scan reveals fertility-related candidate genes and potential inter-chromosomal epistatic regions associated with age at first calving in Nellore cattle. Frontiers in Genetics, 13, 1-18. doi:10.3389/fgene.2022.834724
NLM
Alves AAC, Costa RM da, Fonseca LFS, Carvalheiro R, Ventura RV, Rosa GJ de M, Albuquerque LG de. A random forest-based genome-wide scan reveals fertility-related candidate genes and potential inter-chromosomal epistatic regions associated with age at first calving in Nellore cattle [Internet]. Frontiers in Genetics. 2022 ; 13 1-18.[citado 2025 out. 08 ] Available from: https://doi.org/10.3389/fgene.2022.834724
Vancouver
Alves AAC, Costa RM da, Fonseca LFS, Carvalheiro R, Ventura RV, Rosa GJ de M, Albuquerque LG de. A random forest-based genome-wide scan reveals fertility-related candidate genes and potential inter-chromosomal epistatic regions associated with age at first calving in Nellore cattle [Internet]. Frontiers in Genetics. 2022 ; 13 1-18.[citado 2025 out. 08 ] Available from: https://doi.org/10.3389/fgene.2022.834724
Artigo de periodico
Exploratory lipidome and metabolome profiling contributes to understanding differences in high and normal ultimate pH beef (2022)
Antonelo, Daniel Silva ; Donado, Priscila Robertina dos Santos ; Ferreira, Christina Ramires; Colnago, Luiz A; Ocampos, Fernanda M. M; Ribeiro, Gabriel H; Ventura, Ricardo Vieira ; Gerrard, David Edwin ; Delgado, Eduardo Francisquine ; Castillo, Carmen Josefina Contreras ; Balieiro, Júlio Cesar de Carvalho
Fonte: Meat Science. Unidades: FMVZ, ESALQ
Assuntos: CARNES E DERIVADOS, GADO NELORE, LIPÍDEOS, METABOLÔMICA
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ABNT
ANTONELO, Daniel Silva et al. Exploratory lipidome and metabolome profiling contributes to understanding differences in high and normal ultimate pH beef. Meat Science, v. 194, p. 1-11, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.meatsci.2022.108978. Acesso em: 08 out. 2025.
APA
Antonelo, D. S., Donado, P. R. dos S., Ferreira, C. R., Colnago, L. A., Ocampos, F. M. M., Ribeiro, G. H., et al. (2022). Exploratory lipidome and metabolome profiling contributes to understanding differences in high and normal ultimate pH beef. Meat Science, 194, 1-11. doi:10.1016/j.meatsci.2022.108978
NLM
Antonelo DS, Donado PR dos S, Ferreira CR, Colnago LA, Ocampos FMM, Ribeiro GH, Ventura RV, Gerrard DE, Delgado EF, Castillo CJC, Balieiro JC de C. Exploratory lipidome and metabolome profiling contributes to understanding differences in high and normal ultimate pH beef [Internet]. Meat Science. 2022 ; 194 1-11.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.meatsci.2022.108978
Vancouver
Antonelo DS, Donado PR dos S, Ferreira CR, Colnago LA, Ocampos FMM, Ribeiro GH, Ventura RV, Gerrard DE, Delgado EF, Castillo CJC, Balieiro JC de C. Exploratory lipidome and metabolome profiling contributes to understanding differences in high and normal ultimate pH beef [Internet]. Meat Science. 2022 ; 194 1-11.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.meatsci.2022.108978
Artigo de periodico
Practical implications of using non-relational databases to store large genomic data files and novel phenotypes (2022)
Souza, André Moreira ; Weigert, Rodrigo de Andrade Santos; Sousa, Elaine Parros Machado de ; Andrietta, Lucas Tassoni ; Ventura, Ricardo Vieira
Fonte: Journal of Animal Breeding and Genetics. Unidades: ICMC, FMVZ
Assuntos: BANCO DE DADOS, GENÉTICA ANIMAL, GENÔMICA, FENÓTIPOS
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ABNT
SOUZA, André Moreira et al. Practical implications of using non-relational databases to store large genomic data files and novel phenotypes. Journal of Animal Breeding and Genetics, v. 139, n. Ja 2022, p. 100-112, 2022Tradução . . Disponível em: https://doi.org/10.1111/jbg.12644. Acesso em: 08 out. 2025.
APA
Souza, A. M., Weigert, R. de A. S., Sousa, E. P. M. de, Andrietta, L. T., & Ventura, R. V. (2022). Practical implications of using non-relational databases to store large genomic data files and novel phenotypes. Journal of Animal Breeding and Genetics, 139( Ja 2022), 100-112. doi:10.1111/jbg.12644
NLM
Souza AM, Weigert R de AS, Sousa EPM de, Andrietta LT, Ventura RV. Practical implications of using non-relational databases to store large genomic data files and novel phenotypes [Internet]. Journal of Animal Breeding and Genetics. 2022 ; 139( Ja 2022): 100-112.[citado 2025 out. 08 ] Available from: https://doi.org/10.1111/jbg.12644
Vancouver
Souza AM, Weigert R de AS, Sousa EPM de, Andrietta LT, Ventura RV. Practical implications of using non-relational databases to store large genomic data files and novel phenotypes [Internet]. Journal of Animal Breeding and Genetics. 2022 ; 139( Ja 2022): 100-112.[citado 2025 out. 08 ] Available from: https://doi.org/10.1111/jbg.12644
Artigo de periodico
Reduced rank analysis of morphometric and functional traits in Campolina horses (2022)
Bussiman, Fernando de Oliveira ; Carvalho, Rachel Santos Bueno ; Silva, Fabyano Fonseca e ; Ventura, Ricardo Vieira ; Ferraz, José Bento Sterman ; Mattos, Elisângela Chicaroni; Eler, Joanir Pereira ; Balieiro, Júlio Cesar de Carvalho
Fonte: Journal of Animal Breeding and Genetics. Unidades: FZEA, FMVZ
Assuntos: CAVALO CAMPOLINO, MORFOMETRIA, GENÉTICA ANIMAL
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ABNT
BUSSIMAN, Fernando de Oliveira et al. Reduced rank analysis of morphometric and functional traits in Campolina horses. Journal of Animal Breeding and Genetics, v. 139, n. 2, p. 231-246, 2022Tradução . . Disponível em: https://doi.org/10.1111/jbg.12658. Acesso em: 08 out. 2025.
APA
Bussiman, F. de O., Carvalho, R. S. B., Silva, F. F. e, Ventura, R. V., Ferraz, J. B. S., Mattos, E. C., et al. (2022). Reduced rank analysis of morphometric and functional traits in Campolina horses. Journal of Animal Breeding and Genetics, 139( 2), 231-246. doi:10.1111/jbg.12658
NLM
Bussiman F de O, Carvalho RSB, Silva FF e, Ventura RV, Ferraz JBS, Mattos EC, Eler JP, Balieiro JC de C. Reduced rank analysis of morphometric and functional traits in Campolina horses [Internet]. Journal of Animal Breeding and Genetics. 2022 ; 139( 2): 231-246.[citado 2025 out. 08 ] Available from: https://doi.org/10.1111/jbg.12658
Vancouver
Bussiman F de O, Carvalho RSB, Silva FF e, Ventura RV, Ferraz JBS, Mattos EC, Eler JP, Balieiro JC de C. Reduced rank analysis of morphometric and functional traits in Campolina horses [Internet]. Journal of Animal Breeding and Genetics. 2022 ; 139( 2): 231-246.[citado 2025 out. 08 ] Available from: https://doi.org/10.1111/jbg.12658
Artigo de periodico
Detection and visualization of heterozygosity-rich regions and runs of homozygosity in worldwide sheep populations (2021)
Selli, Alana ; Ventura, Ricardo Vieira ; Fonseca, Pablo Augusto de Souza ; Buzanskas, Marcos Eli ; Andrietta, Lucas Tassoni ; Balieiro, Júlio Cesar de Carvalho ; Brito, Luiz Fernando
Fonte: Animals. Unidade: FMVZ
Assuntos: OVELHAS, OVINOS, GENÉTICA ANIMAL, PECUÁRIA, DIVERSIDADE GENÉTICA
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ABNT
SELLI, Alana et al. Detection and visualization of heterozygosity-rich regions and runs of homozygosity in worldwide sheep populations. Animals, v. 11, n. 9, p. 1-24, 2021Tradução . . Disponível em: https://doi.org/10.3390/ani11092696. Acesso em: 08 out. 2025.
APA
Selli, A., Ventura, R. V., Fonseca, P. A. de S., Buzanskas, M. E., Andrietta, L. T., Balieiro, J. C. de C., & Brito, L. F. (2021). Detection and visualization of heterozygosity-rich regions and runs of homozygosity in worldwide sheep populations. Animals, 11( 9), 1-24. doi:10.3390/ani11092696
NLM
Selli A, Ventura RV, Fonseca PA de S, Buzanskas ME, Andrietta LT, Balieiro JC de C, Brito LF. Detection and visualization of heterozygosity-rich regions and runs of homozygosity in worldwide sheep populations [Internet]. Animals. 2021 ; 11( 9): 1-24.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/ani11092696
Vancouver
Selli A, Ventura RV, Fonseca PA de S, Buzanskas ME, Andrietta LT, Balieiro JC de C, Brito LF. Detection and visualization of heterozygosity-rich regions and runs of homozygosity in worldwide sheep populations [Internet]. Animals. 2021 ; 11( 9): 1-24.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/ani11092696

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