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Registro Completo |
Biblioteca(s): |
Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Cerrados; Embrapa Roraima; Embrapa Unidades Centrais. |
Data corrente: |
29/05/1995 |
Data da última atualização: |
30/08/2013 |
Tipo da produção científica: |
Circular Técnica |
Autoria: |
PEREIRA, A. V.; PEREIRA, E. B. C. |
Afiliação: |
EMBRAPA-CNPSD. |
Título: |
Adubação de seringais de cultivo na Amazônia (primeira aproximação). |
Ano de publicação: |
1986 |
Fonte/Imprenta: |
Manaus: EMBRAPA-CNPSD, 1986. |
Páginas: |
32 p., il. color. |
Série: |
(EMBRAPA-CNPSD. Circular Técnica, 8). |
ISSN: |
0101-9066 |
Idioma: |
Português |
Conteúdo: |
Sintetizacao dos mais recentes resultados de pesquisa no Brasil, que dao suporte as atuais recomendacoes de adubacao para os seringais de cultivo da Amazonia. Estao resumidas tambem algumas informacoes importantes sobre a regiao tropical e a cultura da seringueira, que podem ser aproveitadas para outras regioes do Pais, onde seu cultivo vem se expandindo. |
Palavras-Chave: |
Amazonas; Brasil; Cultivation; Cultivo; Fertilizers application; Micronutriente; Micronutrients; Rubber tree; Seringeira. |
Thesagro: |
Adubação; Análise Foliar; Calagem; Fertilidade; Fertilidade do Solo; Fertilizante; Hevea Brasiliensis; Manejo do Solo; Matéria Orgânica; Seringueira; Solo. |
Thesaurus Nal: |
Amazonia; fertilizer application; fertilizers; leaves; liming; organic matter; soil; soil fertility; soil management. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/52373/1/Circular-Tecnica-8.pdf
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Marc: |
LEADER 01646nam a2200505 a 4500 001 1665370 005 2013-08-30 008 1986 bl uuuu u0uu1 u #d 022 $a0101-9066 100 1 $aPEREIRA, A. V. 245 $aAdubação de seringais de cultivo na Amazônia (primeira aproximação). 260 $aManaus: EMBRAPA-CNPSD$c1986 300 $a32 p., il. color. 490 $a(EMBRAPA-CNPSD. Circular Técnica, 8). 520 $aSintetizacao dos mais recentes resultados de pesquisa no Brasil, que dao suporte as atuais recomendacoes de adubacao para os seringais de cultivo da Amazonia. Estao resumidas tambem algumas informacoes importantes sobre a regiao tropical e a cultura da seringueira, que podem ser aproveitadas para outras regioes do Pais, onde seu cultivo vem se expandindo. 650 $aAmazonia 650 $afertilizer application 650 $afertilizers 650 $aleaves 650 $aliming 650 $aorganic matter 650 $asoil 650 $asoil fertility 650 $asoil management 650 $aAdubação 650 $aAnálise Foliar 650 $aCalagem 650 $aFertilidade 650 $aFertilidade do Solo 650 $aFertilizante 650 $aHevea Brasiliensis 650 $aManejo do Solo 650 $aMatéria Orgânica 650 $aSeringueira 650 $aSolo 653 $aAmazonas 653 $aBrasil 653 $aCultivation 653 $aCultivo 653 $aFertilizers application 653 $aMicronutriente 653 $aMicronutrients 653 $aRubber tree 653 $aSeringeira 700 1 $aPEREIRA, E. B. C.
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Registro original: |
Embrapa Amazônia Ocidental (CPAA) |
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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
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
10/08/2021 |
Data da última atualização: |
10/08/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
SILVA, H. T.; LOPES, P. S.; COSTA, C. N.; SILVA, F. F.; SILVA, D. A.; SILVA, A. A.; THOMPSON, G.; CARVALHEIRA, J. |
Afiliação: |
Universidade Federal de Viçosa; Universidade Federal de Viçosa; CLAUDIO NAPOLIS COSTA, CNPGL; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; GERTRUDE THOMPSON, Universidade do Porto; JÚLIO CARVALHEIRA, Universidade do Porto. |
Título: |
Autoregressive repeatability model for genetic evaluation of longitudinal reproductive traits in dairy cattle. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Journal of Dairy Research, v. 87, p. 37-44, 2021. |
DOI: |
https://doi.org/10.1017/S0022029919000931 |
Idioma: |
Inglês |
Conteúdo: |
We investigated the efficiency of the autoregressive repeatability model (AR) for genetic evaluation of longitudinal reproductive traits in Portuguese Holstein cattle and compared the results with those from the conventional repeatability model (REP). The data set comprised records taken during the first four calving orders, corresponding to a total of 416, 766, 872 and 766 thousand records for interval between calving to first service, days open, calving interval and daughter pregnancy rate, respectively. Both models included fixed (month and age classes associated to each calving order) and random (herd-year-season, animal and permanent environmental) effects. For AR model, a first-order autoregressive (co)variance structure was fitted for the herd-year-season and permanent environmental effects. The AR outperformed the REP model, with lower Akaike Information Criteria, lower Mean Square Error and Akaike Weights close to unity. Rank correlations between estimated breeding values (EBV) with AR and REP models ranged from 0.95 to 0.97 for all studied reproductive traits, when the total bulls were considered. When considering only the top-100 selected bulls, the rank correlation ranged from 0.72 to 0.88. These results indicate that the re-ranking observed at the top level will provide more opportunities for selecting the best bulls. The EBV reliabilities provided by AR model was larger for all traits, but the magnitudes of the annual genetic progress were similar between two models. Overall, the proposed AR model was suitable for genetic evaluations of longitudinal reproductive traits in dairy cattle, outperforming the REP model. MenosWe investigated the efficiency of the autoregressive repeatability model (AR) for genetic evaluation of longitudinal reproductive traits in Portuguese Holstein cattle and compared the results with those from the conventional repeatability model (REP). The data set comprised records taken during the first four calving orders, corresponding to a total of 416, 766, 872 and 766 thousand records for interval between calving to first service, days open, calving interval and daughter pregnancy rate, respectively. Both models included fixed (month and age classes associated to each calving order) and random (herd-year-season, animal and permanent environmental) effects. For AR model, a first-order autoregressive (co)variance structure was fitted for the herd-year-season and permanent environmental effects. The AR outperformed the REP model, with lower Akaike Information Criteria, lower Mean Square Error and Akaike Weights close to unity. Rank correlations between estimated breeding values (EBV) with AR and REP models ranged from 0.95 to 0.97 for all studied reproductive traits, when the total bulls were considered. When considering only the top-100 selected bulls, the rank correlation ranged from 0.72 to 0.88. These results indicate that the re-ranking observed at the top level will provide more opportunities for selecting the best bulls. The EBV reliabilities provided by AR model was larger for all traits, but the magnitudes of the annual genetic progress were similar between two m... Mostrar Tudo |
Palavras-Chave: |
Desempenho reprodutivo; Holstein cattle; Model evaluation. |
Thesagro: |
Bovino; Fertilidade; Gado Holandês; Reprodução Animal. |
Thesaurus NAL: |
Autocorrelation; Reproductive performance. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 02624naa a2200325 a 4500 001 2133403 005 2021-08-10 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1017/S0022029919000931$2DOI 100 1 $aSILVA, H. T. 245 $aAutoregressive repeatability model for genetic evaluation of longitudinal reproductive traits in dairy cattle.$h[electronic resource] 260 $c2021 520 $aWe investigated the efficiency of the autoregressive repeatability model (AR) for genetic evaluation of longitudinal reproductive traits in Portuguese Holstein cattle and compared the results with those from the conventional repeatability model (REP). The data set comprised records taken during the first four calving orders, corresponding to a total of 416, 766, 872 and 766 thousand records for interval between calving to first service, days open, calving interval and daughter pregnancy rate, respectively. Both models included fixed (month and age classes associated to each calving order) and random (herd-year-season, animal and permanent environmental) effects. For AR model, a first-order autoregressive (co)variance structure was fitted for the herd-year-season and permanent environmental effects. The AR outperformed the REP model, with lower Akaike Information Criteria, lower Mean Square Error and Akaike Weights close to unity. Rank correlations between estimated breeding values (EBV) with AR and REP models ranged from 0.95 to 0.97 for all studied reproductive traits, when the total bulls were considered. When considering only the top-100 selected bulls, the rank correlation ranged from 0.72 to 0.88. These results indicate that the re-ranking observed at the top level will provide more opportunities for selecting the best bulls. The EBV reliabilities provided by AR model was larger for all traits, but the magnitudes of the annual genetic progress were similar between two models. Overall, the proposed AR model was suitable for genetic evaluations of longitudinal reproductive traits in dairy cattle, outperforming the REP model. 650 $aAutocorrelation 650 $aReproductive performance 650 $aBovino 650 $aFertilidade 650 $aGado Holandês 650 $aReprodução Animal 653 $aDesempenho reprodutivo 653 $aHolstein cattle 653 $aModel evaluation 700 1 $aLOPES, P. S. 700 1 $aCOSTA, C. N. 700 1 $aSILVA, F. F. 700 1 $aSILVA, D. A. 700 1 $aSILVA, A. A. 700 1 $aTHOMPSON, G. 700 1 $aCARVALHEIRA, J. 773 $tJournal of Dairy Research$gv. 87, p. 37-44, 2021.
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