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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
08/04/2015 |
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Data da última atualização: |
21/03/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
HEINEMANN, A. B.; BARRIOS-PEREZ, C.; RAMIREZ-VILLEGAS, J.; ARANGO-LONDOÑO, D.; BONILLA-FINDJI, O.; MEDEIROS, J. C.; JARVIS, A. |
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Afiliação: |
ALEXANDRE BRYAN HEINEMANN, CNPAF; CAMILO BARRIOS-PEREZ, CIAT; JULIAN RAMIREZ-VILLEGAS, CIAT; DAVID ARANGO-LONDOÑO, CIAT; OSANA BONILLA-FINDJI, CIAT; JOÃO CARLOS MEDEIROS; ANDY JARVIS, CIAT. |
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Título: |
Variation and impact of drought-stress patterns across upland rice target population of environments in Brazil. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Journal of Experimental Botany, London, v. 66, n. 12, p. 3625-3638, June 2015. |
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DOI: |
10.1093/jxb/erv126 |
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Idioma: |
Inglês |
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Notas: |
Published online April 4, 2015. |
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Conteúdo: |
The upland rice (UR) cropped area in Brazil has decreased in the last decade. Importantly, a portion of this decrease can be attributed to the current UR breeding programme strategy, according to which direct grain yield selection is targeted primarily to the most favourable areas. New strategies for more-efficient crop breeding under non-optimal conditions are needed for Brazil?s UR regions. Such strategies should include a classification of spatio-temporal yield variations in environmental groups, as well as a determination of prevalent drought types and their characteristics (duration, intensity, phenological timing, and physiological effects) within those environmental groups. This study used a process-based crop model to support the Brazilian UR breeding programme in their efforts to adopt a new strategy that accounts for the varying range of environments where UR is currently cultivated. Crop simulations based on a commonly grown cultivar (BRS Primavera) and statistical analyses of simulated yield suggested that the target population of environments can be divided into three groups of environments: a highly favorable environment (HFE, 19% of area), a favorable environment (FE, 44%), and least favourable environment (LFE, 37%). Stress-free conditions dominated the HFE group (69% likelihood) and reproductive stress dominated the LFE group (68% likelihood), whereas reproductive and terminal drought stress were found to be almost equally likely to occur in the FE group. For the best and worst environments, we propose specific adaptation focused on the representative stress, while for the FE, wide adaptation to drought is suggested. ?Weighted selection? is also a possible strategy for the FE and LFE environment groups. MenosThe upland rice (UR) cropped area in Brazil has decreased in the last decade. Importantly, a portion of this decrease can be attributed to the current UR breeding programme strategy, according to which direct grain yield selection is targeted primarily to the most favourable areas. New strategies for more-efficient crop breeding under non-optimal conditions are needed for Brazil?s UR regions. Such strategies should include a classification of spatio-temporal yield variations in environmental groups, as well as a determination of prevalent drought types and their characteristics (duration, intensity, phenological timing, and physiological effects) within those environmental groups. This study used a process-based crop model to support the Brazilian UR breeding programme in their efforts to adopt a new strategy that accounts for the varying range of environments where UR is currently cultivated. Crop simulations based on a commonly grown cultivar (BRS Primavera) and statistical analyses of simulated yield suggested that the target population of environments can be divided into three groups of environments: a highly favorable environment (HFE, 19% of area), a favorable environment (FE, 44%), and least favourable environment (LFE, 37%). Stress-free conditions dominated the HFE group (69% likelihood) and reproductive stress dominated the LFE group (68% likelihood), whereas reproductive and terminal drought stress were found to be almost equally likely to occur in the FE group. Fo... Mostrar Tudo |
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Thesagro: |
Arroz; Deficiência hídrica; Melhoramento; Oryza sativa; Resistência a seca. |
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Thesaurus Nal: |
Breeding; Models; Rice. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02700naa a2200313 a 4500
001 2012946
005 2016-03-21
008 2015 bl uuuu u00u1 u #d
024 7 $a10.1093/jxb/erv126$2DOI
100 1 $aHEINEMANN, A. B.
245 $aVariation and impact of drought-stress patterns across upland rice target population of environments in Brazil.$h[electronic resource]
260 $c2015
500 $aPublished online April 4, 2015.
520 $aThe upland rice (UR) cropped area in Brazil has decreased in the last decade. Importantly, a portion of this decrease can be attributed to the current UR breeding programme strategy, according to which direct grain yield selection is targeted primarily to the most favourable areas. New strategies for more-efficient crop breeding under non-optimal conditions are needed for Brazil?s UR regions. Such strategies should include a classification of spatio-temporal yield variations in environmental groups, as well as a determination of prevalent drought types and their characteristics (duration, intensity, phenological timing, and physiological effects) within those environmental groups. This study used a process-based crop model to support the Brazilian UR breeding programme in their efforts to adopt a new strategy that accounts for the varying range of environments where UR is currently cultivated. Crop simulations based on a commonly grown cultivar (BRS Primavera) and statistical analyses of simulated yield suggested that the target population of environments can be divided into three groups of environments: a highly favorable environment (HFE, 19% of area), a favorable environment (FE, 44%), and least favourable environment (LFE, 37%). Stress-free conditions dominated the HFE group (69% likelihood) and reproductive stress dominated the LFE group (68% likelihood), whereas reproductive and terminal drought stress were found to be almost equally likely to occur in the FE group. For the best and worst environments, we propose specific adaptation focused on the representative stress, while for the FE, wide adaptation to drought is suggested. ?Weighted selection? is also a possible strategy for the FE and LFE environment groups.
650 $aBreeding
650 $aModels
650 $aRice
650 $aArroz
650 $aDeficiência hídrica
650 $aMelhoramento
650 $aOryza sativa
650 $aResistência a seca
700 1 $aBARRIOS-PEREZ, C.
700 1 $aRAMIREZ-VILLEGAS, J.
700 1 $aARANGO-LONDOÑO, D.
700 1 $aBONILLA-FINDJI, O.
700 1 $aMEDEIROS, J. C.
700 1 $aJARVIS, A.
773 $tJournal of Experimental Botany, London$gv. 66, n. 12, p. 3625-3638, June 2015.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Biblioteca |
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| Registros recuperados : 12 | |
| 5. |  | HEINEMANN, A. B.; RAMIREZ-VILLEGAS, J.; NASCENTE, A. S.; ZEVIANI, W. M.; STONE, L. F.; SENTELHAS, P. C. Upland rice cultivar responses to row spacing and water stress across multiple environments. Experimental Agriculture, Cambridge, v. 53, n. 4, p. 609-626, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 6. | | HEINEMANN, A. B.; BARRIOS-PEREZ, C.; RAMIREZ-VILLEGAS, J.; ARANGO-LONDOÑO, D.; BONILLA-FINDJI, O.; MEDEIROS, J. C.; JARVIS, A. Variation and impact of drought-stress patterns across upland rice target population of environments in Brazil. Journal of Experimental Botany, London, v. 66, n. 12, p. 3625-3638, June 2015. Published online April 4, 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 7. | | HEINEMANN, A. B.; RAMIREZ-VILLEGAS, J.; STONE, L. F.; SILVA, A. P. G. A.; MATTA, D. H. da; DIAZ, M. E. P. The impact of El Niño Southern Oscillation on cropping season rainfall variability across Central Brazil. International Journal of Climatology, v. 41, n. S1, p. E283-E304, Jan. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 8. | | RAMIREZ-VILLEGAS, J.; HEINEMANN, A. B.; CASTRO, A. P. de; BRESEGHELLO, F.; NAVARRO-RACINES, C.; LI, T.; REBOLLEDO, M. C.; CHALLINOR, A. J. Breeding implications of drought stress under future climate for upland rice in Brazil. Global Change Biology, v. 24, n. 5, p. 2035-2050, May 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 9. | | HEINEMANN, A. B.; RAMIREZ-VILLEGAS, J.; SOUZA, T. L. P. O.; DIDONET, A. D.; DI STEFANO, J. G.; BOOTE, K. J.; JARVIS, A. Drought impact on rainfed common bean production areas in Brazil. Agricultural and Forest Meteorology, Amsterdam, v. 225, p. 57-74, Sept. 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 10. | | ARENAS-CALLE, L. N.; HEINEMANN, A. B.; SILVA, M. A. S. da; SANTOS, A. B. dos; RAMIREZ-VILLEGAS, J.; WHITFIELD, S.; CHALLINOR, A. J. Rice management decisions using process-based models with climate-smart indicators. Frontiers in Sustainable Food Systems, v. 6, article 873957, Jul. 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 11. | | REBOLLEDO-CID, M. C.; RAMÍREZ-VILLEGAS, J.; GRATEROL-MATUTE, E.; HERNÁNDEZ-VARELA, C. A.; RODRÍGUEZ-ESPINOZA, J.; PETRO-PÁEZ, E. H.; PINZÓN, S.; HEINEMANN, A. B.; RODRÍGUEZ-BAIDE, J. M.; VAN DEN BERG, M. Modelación del arroz en Latinoamérica: estado del arte y base de datos para parametrización. Luxembourg: Publications Office of the European Union, 2018. 62 p. (Series de Estudios Temáticos EUROCLIMA Acción de Modelación Biofísica de Cultivos). EUR 29026 ES| Tipo: Autoria/Organização/Edição de Livros |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 12. | | 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. CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate. Crop Science, 2020. Online Version of Record before inclusion in an issue.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 12 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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