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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
06/03/2020 |
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Data da última atualização: |
20/04/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RAMIREZ-VILLEGAS, J.; MOLERO MILAN, A.; ALEXANDROV, N.; ASSENG, S.; CHALLINOR, A. J.; CROSSA, J.; VAN EEUWIJK, F.; GHANEM, M. E.; GRENIER, C.; HEINEMANN, A. B.; WANG, J.; JULIANA, P.; KEHEL, Z.; KHOLOVA, J; KOO, J.; PEQUENO, D.; QUIROZ, R.; REBOLLEDO, M. C.; SUKUMARAN, S.; VADEZ, V.; WHITE, J. W.; REYNOLDS, M. |
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Afiliação: |
JULIAN RAMIREZ-VILLEGAS, CIAT; ANABEL MOLERO MILAN, CIMMYT; NICKOLAI ALEXANDROV, IRRI; SENTHOLD ASSENG, UNIVERSITY OF FLORIDA, Gainesville-FL; ANDREW J. CHALLINOR, UNIVERSITY OF LEEDS, Leeds-UK; JOSE CROSSA, CIMMYT; FREED VAN EEUWIJK, WAGENINGEN UNIVERSITY, The Netherlands; MICHEL EDMOND GHANEM, ICARDA; CECILE GRENIER, CIAT; ALEXANDRE BRYAN HEINEMANN, CNPAF; JIANKANG WANG, INSTITUTE OF CROP SCIENCES, Beijing; PHILOMIN JULIANA, CIMMYT; ZAKARIA KEHEL, ICARDA; JANA KHOLOVA, ICRISAT; JAWOO KOO, IFPRI; DIEGO PEQUENO, CIMMYT; ROBERTO QUIROZ, CIP; MARIA C. REBOLLEDO, CIAT; SIVAKUMAR SUKUMARAN, CIMMYT; VINCENT VADEZ, ICRISAT; JEFFREY W. WHITE, USDA-ARS; MATTHEW REYNOLDS, CIMMYT. |
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Título: |
CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Crop Science, 2020. |
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ISSN: |
0011-183X |
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DOI: |
10.1002/csc2.20048 |
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Idioma: |
Inglês |
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Notas: |
Online Version of Record before inclusion in an issue. |
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Conteúdo: |
Crop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains 'to what extent can breeding gains be achieved under a changing climate, at a pace sufficient to usefully contribute to climate adaptation, mitigation and food security?'. Here, we address this question by critically reviewing how model-based approaches can be used to assist breeding activities, with particular focus on all CGIAR (formerly the Consultative Group on International Agricultural Research but now known simply as CGIAR) breeding programs. Crop modeling can underpin breeding efforts in many different ways, including assessing genotypic adaptability and stability, characterizing and identifying target breeding environments, identifying tradeoffs among traits for such environments, and making predictions of the likely breeding value of the genotypes. Crop modeling science within the CGIAR has contributed to all of these. However, much progress remains to be done if modeling is to effectively contribute to more targeted and impactful breeding programs under changing climates. In a period in which CGIAR breeding programs are undergoing a major modernization process, crop modelers will need to be part of crop improvement teams, with a common understanding of breeding pipelines and model capabilities and limitations, and common data standards and protocols, to ensure they follow and deliver according to clearly defined breeding products. This will, in turn, enable more rapid and better-targeted crop modeling activities, thus directly contributing to accelerated and more impactful breeding efforts. MenosCrop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains 'to what extent can breeding gains be achieved under a changing climate, at a pace sufficient to usefully contribute to climate adaptation, mitigation and food security?'. Here, we address this question by critically reviewing how model-based approaches can be used to assist breeding activities, with particular focus on all CGIAR (formerly the Consultative Group on International Agricultural Research but now known simply as CGIAR) breeding programs. Crop modeling can underpin breeding efforts in many different ways, including assessing genotypic adaptability and stability, characterizing and identifying target breeding environments, identifying tradeoffs among traits for such environments, and making predictions of the likely breeding value of the genotypes. Crop modeling science within the CGIAR has contributed to all of these. However, much progress remains to be done if modeling is to effectively contribute to more targeted and impactful breeding programs under changing climates. In a period in which CGIAR breeding programs are undergoing a major modernization process, crop modelers will need to be part of crop improvement teams, with a common understanding of breeding pipelines and model capabilities and limitations, and common data standards and protocols, to ensure they follo... Mostrar Tudo |
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Palavras-Chave: |
Crop improvement; Crop modeling. |
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Thesagro: |
Clima. |
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Thesaurus Nal: |
Breeding; Climate change; Crops; Food security; Plant adaptation; Simulation models. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/211586/1/CNPAF-2020-cs.pdf
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Marc: |
LEADER 03114naa a2200517 a 4500
001 2121007
005 2020-04-20
008 2020 bl uuuu u00u1 u #d
022 $a0011-183X
024 7 $a10.1002/csc2.20048$2DOI
100 1 $aRAMIREZ-VILLEGAS, J.
245 $aCGIAR modeling approaches for resource-constrained scenarios$bI. Accelerating crop breeding for a changing climate.$h[electronic resource]
260 $c2020
500 $aOnline Version of Record before inclusion in an issue.
520 $aCrop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains 'to what extent can breeding gains be achieved under a changing climate, at a pace sufficient to usefully contribute to climate adaptation, mitigation and food security?'. Here, we address this question by critically reviewing how model-based approaches can be used to assist breeding activities, with particular focus on all CGIAR (formerly the Consultative Group on International Agricultural Research but now known simply as CGIAR) breeding programs. Crop modeling can underpin breeding efforts in many different ways, including assessing genotypic adaptability and stability, characterizing and identifying target breeding environments, identifying tradeoffs among traits for such environments, and making predictions of the likely breeding value of the genotypes. Crop modeling science within the CGIAR has contributed to all of these. However, much progress remains to be done if modeling is to effectively contribute to more targeted and impactful breeding programs under changing climates. In a period in which CGIAR breeding programs are undergoing a major modernization process, crop modelers will need to be part of crop improvement teams, with a common understanding of breeding pipelines and model capabilities and limitations, and common data standards and protocols, to ensure they follow and deliver according to clearly defined breeding products. This will, in turn, enable more rapid and better-targeted crop modeling activities, thus directly contributing to accelerated and more impactful breeding efforts.
650 $aBreeding
650 $aClimate change
650 $aCrops
650 $aFood security
650 $aPlant adaptation
650 $aSimulation models
650 $aClima
653 $aCrop improvement
653 $aCrop modeling
700 1 $aMOLERO MILAN, A.
700 1 $aALEXANDROV, N.
700 1 $aASSENG, S.
700 1 $aCHALLINOR, A. J.
700 1 $aCROSSA, J.
700 1 $aVAN EEUWIJK, F.
700 1 $aGHANEM, M. E.
700 1 $aGRENIER, C.
700 1 $aHEINEMANN, A. B.
700 1 $aWANG, J.
700 1 $aJULIANA, P.
700 1 $aKEHEL, Z.
700 1 $aKHOLOVA, J
700 1 $aKOO, J.
700 1 $aPEQUENO, D.
700 1 $aQUIROZ, R.
700 1 $aREBOLLEDO, M. C.
700 1 $aSUKUMARAN, S.
700 1 $aVADEZ, V.
700 1 $aWHITE, J. W.
700 1 $aREYNOLDS, M.
773 $tCrop Science, 2020.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
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Registro |
Volume |
Status |
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Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
25/06/2003 |
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Data da última atualização: |
18/07/2011 |
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Tipo da produção científica: |
Circular Técnica |
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Autoria: |
OLIVEIRA, M. D. de; CALHEIROS, D. F. |
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Afiliação: |
Embrapa Pantanal (Corumbá, MS). |
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Título: |
Aporte de nutrientes e sólidos suspensos no Rio Taquari. |
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Ano de publicação: |
2002 |
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Fonte/Imprenta: |
Corumbá: Embrapa Pantanal, 2002. |
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Páginas: |
6 p. |
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Descrição Física: |
il. |
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Série: |
(Embrapa Pantanal. Circular Técnica, 31). |
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Idioma: |
Português |
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Conteúdo: |
A agricultura intensiva, pastagens cultivadas, garimpo, agroindústria e os efluentes urbanos estão entre os principais fatores que causam alterações ambientais no Pantanal e rios associados (Ferreira et. al., 1994). Estas atividades estão concentradas principalmente nas áreas de planalto e têm gerado aumentos no aporte de nutrientes e sedimentos para a planície. Um bom exemplo, é rio Taquari, um dos maiores tributários da bacia do alto rio Paraguai (Brasil; 1997). A bacia hidrográfica do rio Taquari está localizada entre as latitudes de 17°00'00''S e 20°00'00''S e as longitudes de 53°00'00''W e 58°00'00''W, abrangendo uma área de aproximadamente 65.023 km2, dentro da bacia do Alto Paraguai (BAP). No fim do alto curso, o rio Taquari recebe o rio Coxim com seu afluente, o rio Jauru, e logo depois, entra na planície Pantaneira. No Pantanal, o rio corre num leito elevado de tal forma que derrama suas águas para a planície adjacente, que tem a geomorfologia de um leque aluvial (Carvalho, 1986). No baixo curso, abre-se em inúmeros canais perdendo água para a planície (Brasil, 1979). |
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Palavras-Chave: |
Assoreamento; Característica; Characteristic; Nutrient; Rio Taquari; Sediment; Sólido suspenso; Taquari river. |
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Thesagro: |
Água; Limnologia; Nutriente; Sedimento. |
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Thesaurus NAL: |
limnology; water. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/37651/1/CT31.pdf
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Marc: |
LEADER 01913nam a2200313 a 4500
001 1810732
005 2011-07-18
008 2002 bl uuuu u0uu1 u #d
100 1 $aOLIVEIRA, M. D. de
245 $aAporte de nutrientes e sólidos suspensos no Rio Taquari.
260 $aCorumbá: Embrapa Pantanal$c2002
300 $a6 p.$cil.
490 $a(Embrapa Pantanal. Circular Técnica, 31).
520 $aA agricultura intensiva, pastagens cultivadas, garimpo, agroindústria e os efluentes urbanos estão entre os principais fatores que causam alterações ambientais no Pantanal e rios associados (Ferreira et. al., 1994). Estas atividades estão concentradas principalmente nas áreas de planalto e têm gerado aumentos no aporte de nutrientes e sedimentos para a planície. Um bom exemplo, é rio Taquari, um dos maiores tributários da bacia do alto rio Paraguai (Brasil; 1997). A bacia hidrográfica do rio Taquari está localizada entre as latitudes de 17°00'00''S e 20°00'00''S e as longitudes de 53°00'00''W e 58°00'00''W, abrangendo uma área de aproximadamente 65.023 km2, dentro da bacia do Alto Paraguai (BAP). No fim do alto curso, o rio Taquari recebe o rio Coxim com seu afluente, o rio Jauru, e logo depois, entra na planície Pantaneira. No Pantanal, o rio corre num leito elevado de tal forma que derrama suas águas para a planície adjacente, que tem a geomorfologia de um leque aluvial (Carvalho, 1986). No baixo curso, abre-se em inúmeros canais perdendo água para a planície (Brasil, 1979).
650 $alimnology
650 $awater
650 $aÁgua
650 $aLimnologia
650 $aNutriente
650 $aSedimento
653 $aAssoreamento
653 $aCaracterística
653 $aCharacteristic
653 $aNutrient
653 $aRio Taquari
653 $aSediment
653 $aSólido suspenso
653 $aTaquari river
700 1 $aCALHEIROS, D. F.
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Registro original: |
Embrapa Pantanal (CPAP) |
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Tipo/Formato |
Classificação |
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Registro |
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Fechar
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| 1. |  | 1250047, CEPALINDEX; RESUMENES DE DOCUMENTOS CEPAL/ILPES, Comision Economica para America Latina. Centro Latino Americano de Documentacion Economica y Social, Santiago-Chile
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Amazônia Oriental; Embrapa Meio-Norte; Embrapa Soja. |   |
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