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| Registros recuperados : 12 | |
| 4. |  | 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.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 6. | | 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.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 7. | | 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.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 8. | | 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.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 9. | | 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.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 10. | | 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.| 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| 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.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 12 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
08/06/2016 |
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Data da última atualização: |
07/03/2017 |
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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: |
HEINEMANN, A. B.; RAMIREZ-VILLEGAS, J.; SOUZA, T. L. P. O.; DIDONET, A. D.; DI STEFANO, J. G.; BOOTE, K. J.; JARVIS, A. |
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Afiliação: |
ALEXANDRE BRYAN HEINEMANN, CNPAF; JULIAN RAMIREZ-VILLEGAS, CIAT; THIAGO LIVIO PESSOA OLIV DE SOUZA, CNPAF; AGOSTINHO DIRCEU DIDONET, CNPAF; JOSE GERALDO DI STEFANO, CNPA; KENNETH J. BOOTE, UNIVERSITY OF FLORIDA, Gainesville-FL; ANDY JARVIS, CIAT. |
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Título: |
Drought impact on rainfed common bean production areas in Brazil. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Agricultural and Forest Meteorology, Amsterdam, v. 225, p. 57-74, Sept. 2016. |
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DOI: |
10.1016/j.agrformet.2016.05.010 |
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Idioma: |
Inglês |
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Conteúdo: |
Common bean production in Goiás, Brazil is concentrated in the same geographic area, but spread acrossthree distinct growing seasons, namely, wet, dry and winter. In the wet and dry seasons, common beansare grown under rainfed conditions, whereas the winter sowing is fully irrigated. The conventional breed-ing program performs all varietal selection stages solely in the winter season, with rainfed environmentsbeing incorporated in the breeding scheme only through the multi environment trials (METs) wherebasically only yield is recorded. As yield is the result of many interacting processes, it is challengingto determine the events (abiotic or biotic) associated with yield reduction in the rainfed environments(wet and dry seasons). To improve our understanding of rainfed dry bean production so as to produceinformation that can assist breeders in their efforts to develop stress-tolerant, high-yielding germplasm,we characterized environments by integrating weather, soil, crop and management factors using cropsimulation models. Crop simulations based on two commonly grown cultivars (Pérola and BRS Radi-ante) and statistical analyses of simulated yield suggest that both rainfed seasons, wet and dry, can bedivided in two groups of environments: highly favorable environment and favorable environment. Forthe wet and dry seasons, the highly favorable environment represents 44% and 58% of production area,respectively. Across all rainfed environment groups, terminal and/or reproductive drought stress occursin roughly one fourth of the seasons (23.9% for Pérola and 24.7% for Radiante), with drought being mostlimiting in the favorable environment group in the dry TPE. Based on our results, we argue that eventhough drought-tailoring might not be warranted, the common bean breeding program should adapttheir selection practices to the range of stresses occurring in the rainfed TPEs to select genotypes moresuitable for these environments. MenosCommon bean production in Goiás, Brazil is concentrated in the same geographic area, but spread acrossthree distinct growing seasons, namely, wet, dry and winter. In the wet and dry seasons, common beansare grown under rainfed conditions, whereas the winter sowing is fully irrigated. The conventional breed-ing program performs all varietal selection stages solely in the winter season, with rainfed environmentsbeing incorporated in the breeding scheme only through the multi environment trials (METs) wherebasically only yield is recorded. As yield is the result of many interacting processes, it is challengingto determine the events (abiotic or biotic) associated with yield reduction in the rainfed environments(wet and dry seasons). To improve our understanding of rainfed dry bean production so as to produceinformation that can assist breeders in their efforts to develop stress-tolerant, high-yielding germplasm,we characterized environments by integrating weather, soil, crop and management factors using cropsimulation models. Crop simulations based on two commonly grown cultivars (Pérola and BRS Radi-ante) and statistical analyses of simulated yield suggest that both rainfed seasons, wet and dry, can bedivided in two groups of environments: highly favorable environment and favorable environment. Forthe wet and dry seasons, the highly favorable environment represents 44% and 58% of production area,respectively. Across all rainfed environment groups, terminal and/or reproductive ... Mostrar Tudo |
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Palavras-Chave: |
Environment classification; Melhoramento genético. |
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Thesagro: |
Deficiência hídrica; Feijão; Phaseolus vulgaris; Relação água-planta. |
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Thesaurus NAL: |
Breeding; Models; Plant-water relations. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/144224/1/CNPAF-2016-abh.pdf
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|
Marc: |
LEADER 02899naa a2200313 a 4500
001 2046621
005 2017-03-07
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1016/j.agrformet.2016.05.010$2DOI
100 1 $aHEINEMANN, A. B.
245 $aDrought impact on rainfed common bean production areas in Brazil.$h[electronic resource]
260 $c2016
520 $aCommon bean production in Goiás, Brazil is concentrated in the same geographic area, but spread acrossthree distinct growing seasons, namely, wet, dry and winter. In the wet and dry seasons, common beansare grown under rainfed conditions, whereas the winter sowing is fully irrigated. The conventional breed-ing program performs all varietal selection stages solely in the winter season, with rainfed environmentsbeing incorporated in the breeding scheme only through the multi environment trials (METs) wherebasically only yield is recorded. As yield is the result of many interacting processes, it is challengingto determine the events (abiotic or biotic) associated with yield reduction in the rainfed environments(wet and dry seasons). To improve our understanding of rainfed dry bean production so as to produceinformation that can assist breeders in their efforts to develop stress-tolerant, high-yielding germplasm,we characterized environments by integrating weather, soil, crop and management factors using cropsimulation models. Crop simulations based on two commonly grown cultivars (Pérola and BRS Radi-ante) and statistical analyses of simulated yield suggest that both rainfed seasons, wet and dry, can bedivided in two groups of environments: highly favorable environment and favorable environment. Forthe wet and dry seasons, the highly favorable environment represents 44% and 58% of production area,respectively. Across all rainfed environment groups, terminal and/or reproductive drought stress occursin roughly one fourth of the seasons (23.9% for Pérola and 24.7% for Radiante), with drought being mostlimiting in the favorable environment group in the dry TPE. Based on our results, we argue that eventhough drought-tailoring might not be warranted, the common bean breeding program should adapttheir selection practices to the range of stresses occurring in the rainfed TPEs to select genotypes moresuitable for these environments.
650 $aBreeding
650 $aModels
650 $aPlant-water relations
650 $aDeficiência hídrica
650 $aFeijão
650 $aPhaseolus vulgaris
650 $aRelação água-planta
653 $aEnvironment classification
653 $aMelhoramento genético
700 1 $aRAMIREZ-VILLEGAS, J.
700 1 $aSOUZA, T. L. P. O.
700 1 $aDIDONET, A. D.
700 1 $aDI STEFANO, J. G.
700 1 $aBOOTE, K. J.
700 1 $aJARVIS, A.
773 $tAgricultural and Forest Meteorology, Amsterdam$gv. 225, p. 57-74, Sept. 2016.
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Embrapa Arroz e Feijão (CNPAF) |
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