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| Registros recuperados : 159 | |
| 101. |  | FURINI, G.; REINEHR, J.; CAMACHO, V.; ZILIO, R. A.; MAIA, J. D. G.; SOUZA, R. T. de; RITSCHEL, P. S. Uvas de mesa produzidas sob cobertura plástica na Serra Gaúcha. In: CONGRESSO LATINO-AMERICANO DE VITICULTURA E ENOLOGIA, 15.; CONGRESSO BRASILEIRO DE VITICULTURA E ENOLOGIA, 13., 2015, Bento Gonçalves. Resumos... Bento Gonçalves: Embrapa Uva e Vinho: Associação Brasileira de Enologia, 2015. p. 377. XV Congresso Latino-Americano de Viticultura e Enologia E XIII Congresso Brasileiro de Viticultura e Enologia. Bento Gonçalves-RS, 3 a 7 de Novembro de 2015.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 102. | | SOUZA, R. T. de; PALLADINI, L. A.; KATSURAYAMA, Y.; SANTOS, J. P. dos; BONETI, J. I. da S.; SANTOS, R. S. S. dos; VALDEBENITO-SANHUEZA, R. M. Adequação da tecnologia de aplicação de pesticidas para diferentes sistemas de cultivo. In: NACHTIGALL, G. R. (Ed.). Inovações tecnológicas para o setor da maçã - Inovamaçã. Bento Gonçalves: Embrapa Uva e Vinho, 2011. p. 167-179. il., color.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 103. | | KOYAMA, R.; COLOMBO, R. C.; BORGES, W. F. S.; SILVESTRE, J. P.; HUSSAIN, I.; SHAHAB, M.; AHMED, S.; PRUDENCIO, S. H.; SOUZA, R. T. de; ROBERTO, S. R. Abscisic acid application affects colorand acceptance of the new hybrid 'BRS melodia' seedless grape grownin a subtropical region. HortScience, v. 54, n. 6, p. 1055-1060, 2019.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 104. | | MAIA, J. D. G.; RITSCHEL, P. S.; SOUZA, R. T. de; PEREIRA, G. E.; LEAO, P. C. de S.; PASSOS, F. M. Avaliação da cultivar BRS Magna em condições de clima tropical Semiárido. In: CONGRESSO LATINO-AMERICANO DE VITICULTURA E ENOLOGIA, 15.; CONGRESSO BRASILEIRO DE VITICULTURA E ENOLOGIA, 13., 2015, Bento Gonçalves. Resumos... Bento Gonçalves: Embrapa Uva e Vinho: Associação Brasileira de Enologia, 2015. p. 315 1 Pen drive. XV Congresso Latino-Americano de Viticultura e Enologia E XIII Congresso Brasileiro de Viticultura e Enologia. Bento Gonçalves-RS, 3 a 7 de Novembro de 2015.| Biblioteca(s): Embrapa Semiárido; Embrapa Uva e Vinho. |
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| 105. | | NUNES, C. C.; SOUZA, R. T. de; CARDOSO, A. P.; ALVES, S. A. M.; GEBLER, L.; SANTOS, R. S. S. dos. Avaliação de deposição de corante em ferimentos de colheira de maçã, com turbo atomizador. In: SEMINÁRIO NACIONAL SOBRE FRUTICULTURA DE CLIMA TEMPERADO, 13., 2018. Resumos... São Joaquim, SC: SENAFRUT, 12 a 14 de junho, 2018. p. 63. Agropecuária catarinense, v. 31, n. 2, mai./ago. 20178.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 106. | | MELO, G. W. B. de; ANTONIOLLI, L. R.; ANTUNES, L. E. C.; BOTTON, M.; SATO, M. E.; FERLA, N. J.; SOUZA, R. T. de; VALDEBENITO-SANHUEZA, R. M. Boas práticas na cultura do morangueiro. Porto Alegre: Sebrae/RS, 2007. 32 p. il., color. (Série Agronegócios).| Biblioteca(s): Embrapa Hortaliças; Embrapa Uva e Vinho. |
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| 107. | | SANTANA, A. P. S.; PAPA, M. F. S.; NAVES, R. de L.; SOUZA, R. T. de; CORRÊA, L. S.; CASIMIRO, W. R. C.; BOLIANI, A. C. Atividade fungitóxica de produtos alternativos sobre Elsinoe ampelina. Tropical Plant Pathology, Brasília, DF, v. 36, p. 619, 2011. 1 CD-ROM. Suplemento. Edição dos resumos do 44º Congresso Brasileiro de Fitopatologia, 2011, Bento Gonçalves. Resumo 894.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 108. | | NAVES, R. de L.; SANTANA, A. P. S.; PAPA, M. F. S.; SOUZA, R. T. de; CELOTO, M. I. B.; SANTOS, J. A. Atividade fungitóxica in vitro de extrato de folhas de pacari sobre uredioniósporos de Phakosora euvitis. Tropical Plant Pathology, Brasília, DF, v. 34, p. S45, ago. 2009. Suplemento. Edição dos Resumos do XLII Congresso Brasileiro de Fitopatologia; XLII Annual Meeting of the Brazilian Pthytopathologiacal Society, Rio de Janeiro, ago. 2009. Resumo 163.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 109. | | ROBERTO, S. R.; MASHIMA, C. H.; COLOMBO, R. C.; ASSIS, A. M. de; KOYAMA, R.; YAMAMOTO, L. Y.; SHAHAB, M.; SOUZA, R. T. de. Berry-cluster thinning to reduce compactness of "Black Star" table grapes. Ciência Rural, Santa Maria, v. 47, n. 4, e20160661, 2017.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 111. | | RITSCHEL, P. S.; MAIA, J. D. G.; CAMARGO, U. A.; SOUZA, R. T. de; FAJARDO, T. V. M.; NAVES, R. de L.; GIRARDI, C. L. BRS Isis: nova cultivar de uva de mesa vermelha, sem sementes e tolerante ao míldio. Bento Gonçalves: Embrapa Uva e Vinho, 2013. 20 p. il., color. (Embrapa Uva e Vinho. Comunicado Técnico, 143).| Biblioteca(s): Embrapa Uva e Vinho. |
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| 112. | | RITSCHEL, P. S.; MAIA, J. D. G.; CAMARGO, U. A.; SOUZA, R. T. de; FAJARDO, T. V. M.; NAVES, R. de L.; GIRARDI, C. L. 'BRS Isis': a novel red seedless table grape cultivar tolerance to downy mildew. In:CONGRESSO LATINO-AMERICANO DE VITICULTURA E ENOLOGIA, 15., 2015, Bento Gonçalves, RS. p 380.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 115. | | RITSCHEL, P. S.; MAIA, J. D. G.; CAMARGO, U. A.; ZANUS, M. C.; SOUZA, R. T. de; FAJARDO, T. V. M. 'BRS Magna': a novel grape cultivar for juice making, with wide climatic adaptation. Crop Breeding and Applied Biotechnology, v. 14, n. 4, p. 266-269, 2014. Cultivar release.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 116. | | RITSCHEL, P. S.; MAIA, J. D. G.; CAMARGO, U. A.; ZANUS, M. C.; SOUZA, R. T. de; FAJARDO, T. V. M. 'BRS Magna': a novel grape cultivar for juice making, with wide climatic adaptation. In:CONGRESSO LATINO-AMERICANO DE VITICULTURA E ENOLOGIA, 15., 2015, Bento Gonçalves, RS. p 381.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 117. | | MAIA, J. D. G.; RITSCHEL, P. S.; CAMARGO, U. A.; SOUZA, R. T. de; GROHS, D. S.; FAJARDO, T. V. M. BRS Melodia: nova cultivar de uvas sem sementes, com sabor especial de mix de frutas vermelhas, recomendada para cultivo na Serra Gaúcha, em cobertura plástica. Bento Gonçalves, RS: Embrapa Uva e vinho, 2019. (Embrapa Uva e Vinho. Circular Técnica, 144)| Biblioteca(s): Embrapa Uva e Vinho. |
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| 119. | | RITSCHEL, P. S.; MAIA, J. D. G.; BORGES, R. M. E.; FERREIRA, M. E.; REVERS, L. F.; SOUZA, R. T. de. Melhoramento genetico da videira: contribuições e expectativas. In: SIMPÓSIO SOBRE INOVAÇÃO E CRIATIVIDADE CIENTÍFICA NA EMBRAPA, 2., 2010, Brasília. Anais... [Brasília, DF: Embrapa, 2010]. Não paginado. Resumo.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 120. | | COLOMBO, R. C.; CARVALHO, D. U.; CRUZ, M. A. da; SUMIDA, C. H.; AHMED, S.; BASSOLI, P. A.; SOUZA, R. T. de; ROBERTO, S. R. Cold Storage and Biocontrol Agents to Extend the Storage Period of ?BRS Isis? Seedless Table Grapes. Horticulturae, v. 4, n. 18, p. 1-10, 2018.| Biblioteca(s): Embrapa Uva e Vinho. |
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| Registros recuperados : 159 | |
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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; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
06/11/2019 |
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Data da última atualização: |
06/02/2024 |
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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: |
SILVA, A. A.; SILVA, D. A.; SILVA, F. F.; COSTA, C. N.; LOPES, P. S.; CAETANO, A. R.; THOMPSON, G.; CARVALHEIRA, J. |
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Afiliação: |
A. A. SILVA, UFV; D. A. SILVA, UFV; F. F. SILVA, UFV; CLAUDIO NAPOLIS COSTA, CNPGL; P. S. LOPES, UFV; ALEXANDRE RODRIGUES CAETANO, Cenargen; G. THOMPSON, CIBIO-INBIO, UNIVERSITY OF PORTO, PORTUGAL; J. CARVALHEIRA, CIBIO-INBIO, UNIVERSITY OF PORTO, PORTUGAL. |
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Título: |
Autoregressive single-step test-day model for genomic evaluations of Portuguese Holstein cattle. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Journal of Dairy Science, v. 102, n. 7, p. 6330-6339, 2019. |
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DOI: |
10.3168/jds.2018-15191 |
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Idioma: |
Inglês |
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Conteúdo: |
The multiple-lactation autoregressive test-day (AR) model is the adopted model for the national genetic evaluation of dairy cattle in Portugal. Under this model, animals' permanent environment effects are assumed to follow a first-order autoregressive process over the long (auto-correlations between parities) and short (auto-correlations between test-days within lactation) terms. Given the relevance of genomic prediction in dairy cattle, it is essential to include marker information in national genetic evaluations. In this context, we aimed to evaluate the feasibility of applying the single-step genomic (G)BLUP to analyze milk yield using the AR model in Portuguese Holstein cattle. In total, 11,434,294 test-day records from the first 3 lactations collected between 1994 and 2017 and 1,071 genotyped bulls were used in this study. Rank correlations and differences in reliability among bulls were used to compare the performance of the traditional (A-AR) and single-step (H-AR) models. These 2 modeling approaches were also applied to reduced data sets with records truncated after 2012 (deleting daughters of tested bulls) to evaluate the predictive ability of the H-AR. Validation scenarios were proposed, taking into account young and proven bulls. Average EBV reliabilities, empirical reliabilities, and genetic trends predicted from the complete and reduced data sets were used to validate the genomic evaluation. Average EBV reliabilities for H-AR (A-AR) using the complete data set were 0.52 (0.16) and 0.72 (0.62) for genotyped bulls with no daughters and bulls with 1 to 9 daughters, respectively. These results showed an increase in EBV reliabilities of 0.10 to 0.36 when genomic information was included, corresponding to a reduction of up to 43% in prediction error variance. Considering the 3 validation scenarios, the inclusion of genomic information improved the average EBV reliability in the reduced data set, which ranged, on average, from 0.16 to 0.26, indicating an increase in the predictive ability. Similarly, empirical reliability increased by up to 0.08 between validation tests. The H-AR outperformed A-AR in terms of genetic trends when unproven genotyped bulls were included. The results suggest that the single-step GBLUP AR model is feasible and may be applied to national Portuguese genetic evaluations for milk yield. MenosThe multiple-lactation autoregressive test-day (AR) model is the adopted model for the national genetic evaluation of dairy cattle in Portugal. Under this model, animals' permanent environment effects are assumed to follow a first-order autoregressive process over the long (auto-correlations between parities) and short (auto-correlations between test-days within lactation) terms. Given the relevance of genomic prediction in dairy cattle, it is essential to include marker information in national genetic evaluations. In this context, we aimed to evaluate the feasibility of applying the single-step genomic (G)BLUP to analyze milk yield using the AR model in Portuguese Holstein cattle. In total, 11,434,294 test-day records from the first 3 lactations collected between 1994 and 2017 and 1,071 genotyped bulls were used in this study. Rank correlations and differences in reliability among bulls were used to compare the performance of the traditional (A-AR) and single-step (H-AR) models. These 2 modeling approaches were also applied to reduced data sets with records truncated after 2012 (deleting daughters of tested bulls) to evaluate the predictive ability of the H-AR. Validation scenarios were proposed, taking into account young and proven bulls. Average EBV reliabilities, empirical reliabilities, and genetic trends predicted from the complete and reduced data sets were used to validate the genomic evaluation. Average EBV reliabilities for H-AR (A-AR) using the complete data set w... Mostrar Tudo |
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Palavras-Chave: |
Autoregressive test-day model; Holstein cattle; Single-step genomic BLUP. |
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Categoria do assunto: |
-- |
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Marc: |
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245 $aAutoregressive single-step test-day model for genomic evaluations of Portuguese Holstein cattle.$h[electronic resource]
260 $c2019
520 $aThe multiple-lactation autoregressive test-day (AR) model is the adopted model for the national genetic evaluation of dairy cattle in Portugal. Under this model, animals' permanent environment effects are assumed to follow a first-order autoregressive process over the long (auto-correlations between parities) and short (auto-correlations between test-days within lactation) terms. Given the relevance of genomic prediction in dairy cattle, it is essential to include marker information in national genetic evaluations. In this context, we aimed to evaluate the feasibility of applying the single-step genomic (G)BLUP to analyze milk yield using the AR model in Portuguese Holstein cattle. In total, 11,434,294 test-day records from the first 3 lactations collected between 1994 and 2017 and 1,071 genotyped bulls were used in this study. Rank correlations and differences in reliability among bulls were used to compare the performance of the traditional (A-AR) and single-step (H-AR) models. These 2 modeling approaches were also applied to reduced data sets with records truncated after 2012 (deleting daughters of tested bulls) to evaluate the predictive ability of the H-AR. Validation scenarios were proposed, taking into account young and proven bulls. Average EBV reliabilities, empirical reliabilities, and genetic trends predicted from the complete and reduced data sets were used to validate the genomic evaluation. Average EBV reliabilities for H-AR (A-AR) using the complete data set were 0.52 (0.16) and 0.72 (0.62) for genotyped bulls with no daughters and bulls with 1 to 9 daughters, respectively. These results showed an increase in EBV reliabilities of 0.10 to 0.36 when genomic information was included, corresponding to a reduction of up to 43% in prediction error variance. Considering the 3 validation scenarios, the inclusion of genomic information improved the average EBV reliability in the reduced data set, which ranged, on average, from 0.16 to 0.26, indicating an increase in the predictive ability. Similarly, empirical reliability increased by up to 0.08 between validation tests. The H-AR outperformed A-AR in terms of genetic trends when unproven genotyped bulls were included. The results suggest that the single-step GBLUP AR model is feasible and may be applied to national Portuguese genetic evaluations for milk yield.
653 $aAutoregressive test-day model
653 $aHolstein cattle
653 $aSingle-step genomic BLUP
700 1 $aSILVA, D. A.
700 1 $aSILVA, F. F.
700 1 $aCOSTA, C. N.
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700 1 $aCAETANO, A. R.
700 1 $aTHOMPSON, G.
700 1 $aCARVALHEIRA, J.
773 $tJournal of Dairy Science$gv. 102, n. 7, p. 6330-6339, 2019.
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