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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
19/11/2021 |
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Data da última atualização: |
07/12/2021 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
KHALIL, M. I.; CORDOVIL, C. M. D. S.; FRANCAVIGLIA, R.; HENRY, B.; KLUMPP, K.; KONCZ, P.; LLORENTE, M.; MADARI, B. E.; MUÑOZ-ROJAS, M.; RAINER, N. |
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Afiliação: |
MOHAMMAD I. KHALIL, UNIVERSITY COLLEGE DUBLIN, IRELAND; CLÁUDIA M. D. S. CORDOVIL, UNIVERSITY OF LISBON, PORTUGAL; ROSA FRANCAVIGLIA, COUNCIL FOR AGRICULTURAL RESEARCH AND ECONOMICS, RESEARCH CENTRE FOR AGRICULTURE AND ENVIRONMENT, ROME, ITALY; BEVERLEY HENRY, QUEENSLAND UNIVERSITY OF TECHNOLOGY, BRISBANE, AUSTRALIA; KATJA KLUMPP, INRA, CLERMONT-FERRAND, FRANCE; PETER KONCZ, DUNA-IPOLY NATIONAL PARK DIRECTORATE, BUDAPEST, HUNGARY; MIREIA LLORENTE, UNIVERSITY OF EXTREMADURA, PLASENCIA CAMPUS, SPAIN; BEATA EMOKE MADARI, CNPAF; MIRIAM MUÑOZ-ROJAS, THE UNIVERSITY OF WESTERN AUSTRALIA; NERGER RAINER, SOIL & MORE IMPACTS GMBH, HAMBURG, GERMANY. |
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Título: |
Mediterranean savanna-like agrosilvopastoral grassland system in Spain, Italy and Portugal. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: FAO. Recarbonizing global soils: a technical manual of recommended management practices: cropland, grassland, integrated systems and farming approaches. Rome, 2021. v. 4, cap. 17, p. 186-195. |
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ISBN: |
978-92-5-134897-0 |
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DOI: |
https://doi.org/10.4060/cb6598en |
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Idioma: |
Inglês |
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Conteúdo: |
1. Related practices and hot-spot. 2. Description of the case study. 3. Context of the case study. 4. Possibility of scaling up. 5. Impact on soil organic carbon stocks. 6. Other benefits of the practice. 7. Potential drawbacks to the practice. 8. Recommendations before implementing the practice. 9. Potential barriers for adoption. |
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Palavras-Chave: |
Integraçao lavoura-pecuária. |
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Thesagro: |
Cerrado; Clima; Efeito Estufa. |
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Thesaurus Nal: |
Climate change; Grassland soils; Greenhouse gas emissions. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228029/1/v4-p186-195.pdf
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Marc: |
LEADER 01450naa a2200337 a 4500
001 2136322
005 2021-12-07
008 2021 bl uuuu u00u1 u #d
020 $a978-92-5-134897-0
024 7 $ahttps://doi.org/10.4060/cb6598en$2DOI
100 1 $aKHALIL, M. I.
245 $aMediterranean savanna-like agrosilvopastoral grassland system in Spain, Italy and Portugal.$h[electronic resource]
260 $c2021
520 $a1. Related practices and hot-spot. 2. Description of the case study. 3. Context of the case study. 4. Possibility of scaling up. 5. Impact on soil organic carbon stocks. 6. Other benefits of the practice. 7. Potential drawbacks to the practice. 8. Recommendations before implementing the practice. 9. Potential barriers for adoption.
650 $aClimate change
650 $aGrassland soils
650 $aGreenhouse gas emissions
650 $aCerrado
650 $aClima
650 $aEfeito Estufa
653 $aIntegraçao lavoura-pecuária
700 1 $aCORDOVIL, C. M. D. S.
700 1 $aFRANCAVIGLIA, R.
700 1 $aHENRY, B.
700 1 $aKLUMPP, K.
700 1 $aKONCZ, P.
700 1 $aLLORENTE, M.
700 1 $aMADARI, B. E.
700 1 $aMUÑOZ-ROJAS, M.
700 1 $aRAINER, N.
773 $tIn: FAO. Recarbonizing global soils: a technical manual of recommended management practices: cropland, grassland, integrated systems and farming approaches. Rome, 2021.$gv. 4, cap. 17, p. 186-195.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
21/03/2022 |
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Data da última atualização: |
12/07/2022 |
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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: |
DIAS, K. O. G.; SANTOS, J. P. R. dos; KRAUSE, M. D.; PIEPHO, H.-P.; GUIMARAES, L. J. M.; PASTINA, M. M.; GARCIA, A. A. F. |
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Afiliação: |
KAIO O. G. DIAS, Universidade Federal de Viçosa; JHONATHAN P. R. DOS SANTOS, Escola Superior de Agricultura Luiz de Queiroz; MATHEUS D. KRAUSE, Iowa State University; HANS-PETER PIEPHO, University of Hohenheim; LAURO JOSE MOREIRA GUIMARAES, CNPMS; MARIA MARTA PASTINA, CNPMS; ANTONIO A. F. GARCIA, Escola Superior de Agricultura Luiz de Queiroz. |
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Título: |
Leveraging probability concepts for cultivar recommendation in multi-environment trials. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Theoretical and Applied Genetics, v. 135, n. 4, p. 1385-1399, 2022. |
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DOI: |
https://doi.org/10.1007/s00122-022-04041-y |
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Idioma: |
Inglês |
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Conteúdo: |
Statistical models that capture the phenotypic plasticity of a genotype across environments are crucial in plant breeding programs to potentially identify parents, generate ofspring, and obtain highly productive genotypes for target environments. In this study, our aim is to leverage concepts of Bayesian models and probability methods of stability analysis to untangle genotype-by-environment interaction (GEI). The proposed method employs the posterior distribution obtained with the NoU-Turn sampler algorithm to get Hamiltonian Monte Carlo estimates of adaptation and stability probabilities. We applied the proposed models in two empirical tropical datasets. Our fndings provide a basis to enhance our ability to consider the uncertainty of cultivar recommendation for global or specifc adaptation. We further demonstrate that probability methods of stability analysis in a Bayesian framework are a powerful tool for unraveling GEI given a defned intensity of selection that results in a more informed decision-making process toward cultivar recommendation in multi-environment trials. |
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Palavras-Chave: |
Modelo Bayesiano; Modelo misto; Previsão genômica; Regressão de parâmetro. |
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Thesagro: |
Genótipo; Melhoramento Genético Vegetal; Variedade. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 01993naa a2200289 a 4500
001 2141063
005 2022-07-12
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s00122-022-04041-y$2DOI
100 1 $aDIAS, K. O. G.
245 $aLeveraging probability concepts for cultivar recommendation in multi-environment trials.$h[electronic resource]
260 $c2022
520 $aStatistical models that capture the phenotypic plasticity of a genotype across environments are crucial in plant breeding programs to potentially identify parents, generate ofspring, and obtain highly productive genotypes for target environments. In this study, our aim is to leverage concepts of Bayesian models and probability methods of stability analysis to untangle genotype-by-environment interaction (GEI). The proposed method employs the posterior distribution obtained with the NoU-Turn sampler algorithm to get Hamiltonian Monte Carlo estimates of adaptation and stability probabilities. We applied the proposed models in two empirical tropical datasets. Our fndings provide a basis to enhance our ability to consider the uncertainty of cultivar recommendation for global or specifc adaptation. We further demonstrate that probability methods of stability analysis in a Bayesian framework are a powerful tool for unraveling GEI given a defned intensity of selection that results in a more informed decision-making process toward cultivar recommendation in multi-environment trials.
650 $aGenótipo
650 $aMelhoramento Genético Vegetal
650 $aVariedade
653 $aModelo Bayesiano
653 $aModelo misto
653 $aPrevisão genômica
653 $aRegressão de parâmetro
700 1 $aSANTOS, J. P. R. dos
700 1 $aKRAUSE, M. D.
700 1 $aPIEPHO, H.-P.
700 1 $aGUIMARAES, L. J. M.
700 1 $aPASTINA, M. M.
700 1 $aGARCIA, A. A. F.
773 $tTheoretical and Applied Genetics$gv. 135, n. 4, p. 1385-1399, 2022.
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Embrapa Milho e Sorgo (CNPMS) |
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