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| Registros recuperados : 14 | |
| 3. |  | OLIVEIRA, L. T. de; MENEZES, G. R. de O.; SILVA, F. F. e; OLIVEIRA, H. R. de; VENTURA, H. T. Modelos de limiar em regressão aleatória para avaliação genética da probabilidade de prenhez na raça Sindi. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 12., 2017, Ribeirão Preto, SP. Fenômica e outras ômicas na produção animal: Anais... Sertãozinho: Sociedade de Melhoramento Animal/Instituto de Zootecnia, 2017.| Biblioteca(s): Embrapa Gado de Corte. |
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| 5. | | PAIVA, J. T.; RESENDE, M. D. V. de; RESENDE, R. T.; OLIVEIRA, H. R.; SILVA, H. T.; CAETANO, G. C.; LOPES, P. S.; SILVA, F. F. Epigenética: mecanismos, herança e implicações no melhoramento animal. Archivos de Zootecnia, v. 68, n. 262, p. 304-311, 2019.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | RAMOS, I. A.; OLIVEIRA, H. R. de; COSTA, L. C. da; REIS, S. A.; ARAÚJO, E. C. da C.; RIBEIRO, L. A. de A.; LIMA, J. T. de. Efeito relaxante de Erythroxylum subrotundum (Erythroxylaceae) em aorta isolada de rato. In: JORNADA DE INICIAÇÃO CIENTÍFICA DA EMBRAPA SEMIÁRIDO, 7.; JORNADA DE INICIAÇÃO CIENTÍFICA DA FACEPE/UNIVASF, 1., 2012, Petrolina. Anais... Petrolina: Embrapa Semiárido, 2012. p. 527-532. 1 CD-ROM. (Embrapa Semiárido. Documentos, 248).| Biblioteca(s): Embrapa Semiárido. |
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| 7. | | PAIVA, J. T.; RESENDE, M. D. V. de; RESENDE, R. T.; OLIVEIRA, H. R. de; SILVA, H. T.; CAETANO, G. C.; LOPES, P. S.; SILVA, F. F. Transgenerational epigenetic variance for body weight in meat quails. Journal of Animal Breeding and Genetics, v. 135, n. 3, p. 178-185, June 2018.| Biblioteca(s): Embrapa Florestas. |
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| 8. | | ZUCARELI, C.; CASTRO, M. M.; OLIVEIRA, H. R.; BRANCALIÃO, S. R.; RODRIGUES, J. D.; ONO, E. O.; BOARO, C. S. F. Fitorreguladores e germinação de sementes de maracujá doce em condições de laboratório. Scientia Agraria, Curitiba, v. 4, n. 1-2, p.9-14, 2003.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 9. | | OLIVEIRA, H. R.; SILVA, F. F.; SIQUEIRA, O. H. G. B. D.; SOUZA, N. O.; JUNQUEIRA, V. S.; RESENDE, M. D. V. de; BORQUIS, R. R. A.; RODRIGUES, M. T. Combining different functions to describe milk, fat, and protein yield in goats using Bayesian multiple-trait random regression models. Journal of Animal Science, v. 94 n. 5, p. 1865-1874, May 2016.| Biblioteca(s): Embrapa Florestas. |
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| 10. | | BARILI, L. D.; VALE, N. M. do; SILVA, F. R. e; CARNEIRO, J. E. de S.; OLIVEIRA, H. R. de; VIANELLO, R. P.; VALDISSER, P. A. M. R.; NASCIMENTO, M. Genome prediction accuracy of common bean via Bayesian models. Ciência Rural, v. 48, n. 8, e20170497, 2018.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 11. | | NEGRI, R.; DALTRO, D.; KLUSKA, S.; OTTO, P. I.; MACHADO, M. A.; PANETTO, J. C. do C.; MARTINS, M. F.; OLIVEIRA, H. R. de; COBUCI, J. A.; SILVA, M. V. G. B. Genomic-enhanced breeding values for heat stress tolerance in Girolando cattle in Brazil. Livestock Science, v. 278, 105360, 2023.| Biblioteca(s): Embrapa Gado de Leite. |
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| 12. | | OLIVEIRA, H. R. de; SILVA, F. F. e; SILVA, M. V. G. B.; SIQUEIRA, O. H. G. B. D. de; MACHADO, M. A.; PANETTO, J. C. do C.; GLÓRIA, L. S.; BRITO, L. F. Bayesian Models combining Legendre and B-spline polynomials for genetic analysis of multiple lactations in Gyr cattle. Livestock Science, v. 201, p. 78-84, 2017.| Biblioteca(s): Embrapa Gado de Leite. |
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| 13. | | OLIVEIRA, L. T. de; BONAFÉ, C. M.; SIVA, F. F. e; VENTURA, H. T.; OLIVEIRA, H. R. de; MENEZES, G. R. de O.; RESENDE, M. D. V. de; VIANA, J. M. S. Bayesian random regression threshold models for genetic evaluation of pregnancy probability in Red Sindhi heifers. Livestock Science, v. 202, p. 166-170, August, 2017. Short communication| Biblioteca(s): Embrapa Florestas; Embrapa Gado de Corte. |
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| 14. | | PAIVA, J. T.; RESENDE, M. D. V. de; RESENDE, R. T.; OLIVEIRA, H. R.; SILVA, H. T.; CAETANO, G. C.; CALDERANO, A. A.; LOPES, P. S.; VIANA, J. M. S.; SILVA, F. F. A note on transgenerational epigenetics affecting egg quality traits in meat-type quail. British Poultry Science, v. 59, n. 6, p. 624-628, 2018. Short Communication.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 14 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
14/11/2023 |
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Data da última atualização: |
14/11/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
NEGRI, R.; DALTRO, D.; KLUSKA, S.; OTTO, P. I.; MACHADO, M. A.; PANETTO, J. C. do C.; MARTINS, M. F.; OLIVEIRA, H. R. de; COBUCI, J. A.; SILVA, M. V. G. B. |
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Afiliação: |
RENATA NEGRI, UNIVERSIDADE ESTADUAL PAULISTA; DARLENE DALTRO, ASSOCIAÇAO BRASILEIRA DE CRIADORES DE GIROLANDO; SABRINA KLUSKA, ASSOCIAÇAO BRASILEIRA DE CRIADORES DE GIROLANDO; PAMELA ITAJARA OTTO, UNIVERSIDADE FEDERAL SANTA MARIA; MARCO ANTONIO MACHADO, CNPGL; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; MARTA FONSECA MARTINS, CNPGL; HINAYAH ROJAS DE OLIVEIRA, PURDUE UNIVERSITY; JAIME ARAÚJO COBUCI, UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL. |
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Título: |
Genomic-enhanced breeding values for heat stress tolerance in Girolando cattle in Brazil. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Livestock Science, v. 278, 105360, 2023. |
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DOI: |
https://doi.org/10.1016/j.livsci.2023.105360 |
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Idioma: |
Inglês |
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Conteúdo: |
Heat stress is a major challenge for dairy herds and can lead to significant production reduction, mainly in tropical climate. Differences in decreased milk production in animals is associated with genetic variation. The overall goal was to investigate the effect of heat stress in milk yield of Girolando cattle in tropical climate and to identify the most appropriate statistical approach for evaluation and selection for heat tolerance in different breed compositions of Girolando. Therefore, to quantify heat stress effects on milk yield loss in Girolando cattle, random regression models were applied on test-day milk yield records (TDMY) and weather data. In addition, different statistical models were evaluated for estimating variance components and predicting breeding values for heat stress (HS). The data comprised 648,072 TDMY of 69,431 first-lactation Girolando cows of different breed compositions, and 21,147 genotyped animals, with daily temperature and humidity measurements from weather stations closest to the tested herds, between 2000 and 2020. We used daily mean values of temperature-humidity index (THI) for the day of test and the 3 previous days as the measure of HS. Heat stress thresholds estimated for the different breed compositions of Girolando in this study were THI 80 for 1/4H, 1/2H and 5/8H; THI 78 for 3/4H animals and THI 77 for 7/8H animals. Average milk production can decrease by up to 34% due to heat stress. Estimated average heritability for TDMY regressed to the THI was 0.21, while the heritability estimated for TDMY regressed to the DIM was 0.29. A correlation of 0.55 was observed between the GEBVs of HS tolerance and GEBV milk yield. The parameters estimated in this study indicate that genomic selection for heat tolerance in dairy cattle is a step towards ensuring valuable tropical production efficiency and improving animal welfare in the face of predicted increases in heat stress events and increase tropical production efficiency. MenosHeat stress is a major challenge for dairy herds and can lead to significant production reduction, mainly in tropical climate. Differences in decreased milk production in animals is associated with genetic variation. The overall goal was to investigate the effect of heat stress in milk yield of Girolando cattle in tropical climate and to identify the most appropriate statistical approach for evaluation and selection for heat tolerance in different breed compositions of Girolando. Therefore, to quantify heat stress effects on milk yield loss in Girolando cattle, random regression models were applied on test-day milk yield records (TDMY) and weather data. In addition, different statistical models were evaluated for estimating variance components and predicting breeding values for heat stress (HS). The data comprised 648,072 TDMY of 69,431 first-lactation Girolando cows of different breed compositions, and 21,147 genotyped animals, with daily temperature and humidity measurements from weather stations closest to the tested herds, between 2000 and 2020. We used daily mean values of temperature-humidity index (THI) for the day of test and the 3 previous days as the measure of HS. Heat stress thresholds estimated for the different breed compositions of Girolando in this study were THI 80 for 1/4H, 1/2H and 5/8H; THI 78 for 3/4H animals and THI 77 for 7/8H animals. Average milk production can decrease by up to 34% due to heat stress. Estimated average heritability for TDMY regresse... Mostrar Tudo |
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Palavras-Chave: |
Conforto térmico. |
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Thesagro: |
Bem-Estar; Bovino; Clima Tropical; Cruzamento Animal; Gado Gir; Gado Holandês; Temperatura; Umidade. |
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Thesaurus NAL: |
Animal welfare. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02994naa a2200361 a 4500
001 2158381
005 2023-11-14
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.livsci.2023.105360$2DOI
100 1 $aNEGRI, R.
245 $aGenomic-enhanced breeding values for heat stress tolerance in Girolando cattle in Brazil.$h[electronic resource]
260 $c2023
520 $aHeat stress is a major challenge for dairy herds and can lead to significant production reduction, mainly in tropical climate. Differences in decreased milk production in animals is associated with genetic variation. The overall goal was to investigate the effect of heat stress in milk yield of Girolando cattle in tropical climate and to identify the most appropriate statistical approach for evaluation and selection for heat tolerance in different breed compositions of Girolando. Therefore, to quantify heat stress effects on milk yield loss in Girolando cattle, random regression models were applied on test-day milk yield records (TDMY) and weather data. In addition, different statistical models were evaluated for estimating variance components and predicting breeding values for heat stress (HS). The data comprised 648,072 TDMY of 69,431 first-lactation Girolando cows of different breed compositions, and 21,147 genotyped animals, with daily temperature and humidity measurements from weather stations closest to the tested herds, between 2000 and 2020. We used daily mean values of temperature-humidity index (THI) for the day of test and the 3 previous days as the measure of HS. Heat stress thresholds estimated for the different breed compositions of Girolando in this study were THI 80 for 1/4H, 1/2H and 5/8H; THI 78 for 3/4H animals and THI 77 for 7/8H animals. Average milk production can decrease by up to 34% due to heat stress. Estimated average heritability for TDMY regressed to the THI was 0.21, while the heritability estimated for TDMY regressed to the DIM was 0.29. A correlation of 0.55 was observed between the GEBVs of HS tolerance and GEBV milk yield. The parameters estimated in this study indicate that genomic selection for heat tolerance in dairy cattle is a step towards ensuring valuable tropical production efficiency and improving animal welfare in the face of predicted increases in heat stress events and increase tropical production efficiency.
650 $aAnimal welfare
650 $aBem-Estar
650 $aBovino
650 $aClima Tropical
650 $aCruzamento Animal
650 $aGado Gir
650 $aGado Holandês
650 $aTemperatura
650 $aUmidade
653 $aConforto térmico
700 1 $aDALTRO, D.
700 1 $aKLUSKA, S.
700 1 $aOTTO, P. I.
700 1 $aMACHADO, M. A.
700 1 $aPANETTO, J. C. do C.
700 1 $aMARTINS, M. F.
700 1 $aOLIVEIRA, H. R. de
700 1 $aCOBUCI, J. A.
700 1 $aSILVA, M. V. G. B.
773 $tLivestock Science$gv. 278, 105360, 2023.
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