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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
17/01/2013 |
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Data da última atualização: |
25/01/2013 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
NECHET, K. de L.; HALFELD-VIEIRA, B. de A. |
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Afiliação: |
KATIA DE LIMA NECHET, CNPMA; BERNARDO DE ALMEIDA HALFELD VIEIRA, CNPMA. |
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Título: |
Fungos associados a plantas invasoras na cultura do café em experimento tipo FACE (Free Air CO2 Enrichment). |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2012, Belém, PA. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2012. |
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Idioma: |
Português |
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Conteúdo: |
Resumo: Realizou-se o levantamento de fungos associados a plantas invasoras na cultura do café instalada em experimento tipo FACE no Brasil cujo aparato, instalado em anéis de 10 m de diâmetro, mantém a concentração de CO2 a 200 ppm acima da concentração no ambiente. As avaliações de espécies com sintoma de doença foram realizadas aos 18, 55, 103, 129, 162 e 186 dias após o início da operação do FACE. Amostras de tecido vegetal foram coletadas e observadas em microscópio ótico e estereoscópico para identificação dos agentes causais através de chaves taxonômicas. Os resultados obtidos mostraram que a maioria das espécies invasoras e fungos associados ocorreram tanto nos tratamentos que recebem como nos que não recebem aplicação de CO2. O número máximo de espécies observadas foi de seis e a associação mais frequente, independente do tratamento foi a ocorrência do gênero Bipolaris em Brachiaria decumbens. |
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Palavras-Chave: |
Fungos mitospóricos; Mudanças climáticas. |
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Thesagro: |
Café; Clima; Coffea arabica; Dióxido de carbono; Fungo. |
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Thesaurus Nal: |
Climate change; Deuteromycotina. |
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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/75342/1/2012AA044.pdf
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Marc: |
LEADER 01743nam a2200229 a 4500
001 1945668
005 2013-01-25
008 2012 bl uuuu u00u1 u #d
100 1 $aNECHET, K. de L.
245 $aFungos associados a plantas invasoras na cultura do café em experimento tipo FACE (Free Air CO2 Enrichment).$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2012, Belém, PA. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos$c2012
520 $aResumo: Realizou-se o levantamento de fungos associados a plantas invasoras na cultura do café instalada em experimento tipo FACE no Brasil cujo aparato, instalado em anéis de 10 m de diâmetro, mantém a concentração de CO2 a 200 ppm acima da concentração no ambiente. As avaliações de espécies com sintoma de doença foram realizadas aos 18, 55, 103, 129, 162 e 186 dias após o início da operação do FACE. Amostras de tecido vegetal foram coletadas e observadas em microscópio ótico e estereoscópico para identificação dos agentes causais através de chaves taxonômicas. Os resultados obtidos mostraram que a maioria das espécies invasoras e fungos associados ocorreram tanto nos tratamentos que recebem como nos que não recebem aplicação de CO2. O número máximo de espécies observadas foi de seis e a associação mais frequente, independente do tratamento foi a ocorrência do gênero Bipolaris em Brachiaria decumbens.
650 $aClimate change
650 $aDeuteromycotina
650 $aCafé
650 $aClima
650 $aCoffea arabica
650 $aDióxido de carbono
650 $aFungo
653 $aFungos mitospóricos
653 $aMudanças climáticas
700 1 $aHALFELD-VIEIRA, B. de A.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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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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Circulação/Nível: |
A - 1 |
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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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