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| 7. |  | MARSARO JUNIOR, A. L.; HALINSKI, R.; BLOCHTEIN, B. Abelhas associadas à cultura da canola em Passo Fundo, Rio Grande do Sul, Brasil. Brazilian Journal of Animal and Environmental Research, v. 6, n. 4, p. 3075-3085, 2023. Título em inglês: Bees associated with canola crops in Passo Fundo, Rio Grande do Sul state, Brazil.| Biblioteca(s): Embrapa Trigo. |
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| 12. | | NUNES-SILVA, P.; RAMOS, J. D.; WITTER, S.; BOTTON, M.; BLOCHTEIN, B. As abelhas e a polinização de macieiras. In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 26.; CONGRESSO LATINO-AMERICANO DE ENTOMOLOGIA, 9., 2016, Maceió, SE. Anais...Maceió, SE: Embrapa Tabuleiros Costeiros, p. 44, 2016.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 13. | | WITER, S.; BLOCHTEIN, B.; ANDRADE, F.; WOLFF, L, F.; IMPERATRIZ-FONSECA, L. Meliponicultura no Rio Grande do Sul: contribuição sobre a biologia e conservação de Plebeia nigriceps(FRIESE 1901) (Apiedae, Moliponini). Bioscience Journal, Uberlândia, v. 23, Supl. 1, p. 134-140, nov. 2007.| Biblioteca(s): Embrapa Clima Temperado. |
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| 14. | | ROSA, J. M. da; ARIOLI, C. J.; BLOCHTEIN, B.; AGOSTINETTO, L.; GRUTZMACHER, A. D.; BOTTON, M. Diagnosis of directed pollination services in apple orchards in Brazil. Revista Brasileira de Fruticultura, v. 40, n. 2, Epub, abr. 2018.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 15. | | MARSARO JÚNIOR, A. L.; HALINSKI, R.; BLOCHTEIN, B.; NUNEZ, P. G.; LUZ, M. R. da. Diversidade de abelhas na cultura da canola no município de Passo Fundo/RS. In: CONGRESSO BRASILEIRO DE ENTOMOLOGIA, 26.; CONGRESSO LATINO-AMERICANO DE ENTOMOLOGIA, 9., 2016, Maceió, AL. Anais... Brasília, DF: Embrapa, 2016. p. 265.| Biblioteca(s): Embrapa Trigo. |
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| 16. | | VICARI, C. C.; DORNELES, A. L.; SANTOS, C. F. dos; BLOCHTEIN, B.; MARSARO JÚNIOR, A. L. Efeito do inseticida clorantraniliprole no desenvolvimento larval e na determinação de rainha da abelha sem ferrão Plebeia droryana. In: MOSTRA DE INICIAÇÃO CIENTÍFICA, 12.; MOSTRA DE PÓS-GRADUAÇÃO DA EMBRAPA TRIGO, 9., 2017, Passo Fundo. Resumos... Passo Fundo: Embrapa Trigo, 2017. p. 34.| Biblioteca(s): Embrapa Trigo. |
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| 18. | | MARSARO JUNIOR, A. L.; SATTLER, A.; BLOCHTEIN, B.; BARRETO, A. L. H.; PEREIRA, F. de M.; GUARIENTI, E. M. Análise de resíduos de agrotóxicos em amostras de mel de Apis mellifera obtidas a partir de floradas de canola de municípios do Rio Grande do Sul, Brasil. Brazilian Journal of Animal and Environmental Research, Curitiba, v.6, n.3, p. 2006-2028, jul./set., 2023.| Biblioteca(s): Embrapa Meio-Norte; Embrapa Trigo. |
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| Registros recuperados : 44 | |
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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. |
|
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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