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| 4. |  | WANG, G.; LI, T.; GRZYMALA-BUSSE, J. W.; MIAO, D.; SKOWRON, A.; YAO, Y. Rough Sets and Knowledge Technology: Third International Conference, RSKT 2008, Chengdu, China, May 17-19, 2008. Proceedings Springer eBooks. v.: digital Lecture Notes in Computer Science,5009 |    |
| 5. | | LI, T.-H.; BUENO, A. de F.; DESNEUX, N.; ZHANG, L.; WANG, Z.; DONG, H.; WANG, S.; ZANG, L.-S. Current status of the biological control of the fall armyworm Spodoptera frugiperda by egg parasitoids. Journal of Pest Science, v. 96, p. 1345–1363, 2023.| Biblioteca(s): Embrapa Soja. |
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| 6. | | 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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| 7. | | YUAN, S.; LINQUIST, B. A.; WILSON, L. T.; CASSMAN, K. G.; STUART, A. M.; PEDE, V.; MIRO, B.; SAITO, K.; AGUSTIANI, N.; ARISTYA, V. E.; KRISNADI, L. Y.; ZANON, A. J.; HEINEMANN, A. B.; CARRACELAS, G.; SUBASH, N.; BRAHMANAND, P. S.; LI, T.; PENG, S.; GRASSINI, P. Sustainable intensification for a larger global rice bowl. Nature Communications, v. 12, 7163, Dec. 2021.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 8. | | MYBURG, A. A.; GRATTAPAGLIA, D.; TUSKAN, G. A.; HELLSTEN, U.; HAYES, R. D.; GRIMWOOD, J.; JENKINS, J.; LINDQUIST, E.; BAUER, D.; GOODSTEIN, D. M.; DUBCHAK, I.; POLIAKOV, A.; MIZRACHI, E.; KULLAN, A. R. K.; HUSSEY, S. G.; PINARD, D.; MERWE, K. van der; SINGH, P.; JAARSVELD, I. van; SILVA JUNIOR, O. B.; TOGAWA, R. C.; PAPPAS, M. R.; FARIA, D. A.; SANSALONI, C. P.; PETROLI, C. D.; YANG, X.; RANJAN, P.; TSCHAPLINSKI, T. J.; YE, C.-Y.; LI, T.; STERCK, L.; VANNESTE, K.; MURAT, F.; SOLER, M.; SAN CLEMENTE, H.; SAIDI, N.; CASSAN-WANG, H.; DUNAND, C.; HEFER, C. A.; BORNBERG-BAUER, E.; KERSTING, A. R.; VINING, K.; AMARASINGHE, V.; RANIK, M.; NAITHANI, S.; ELSER, J.; BOYD, A. E.; LISTON, A.; SPATAFORA, J. W.; DHARMWARDHANA, P.; RAJA, R.; SULLIVAN, C.; ROMANEL, E.; ALVES-FERREIRA, M.; KULHEIM, C.; FOLEY, W.; CAROCHA, V.; PAIVA, J.; KUDRNA, D.; BROMMONSCHENKEL, S. H.; PASQUALI, G.; BYRNE, M.; RIGAULT, P.; SPOKEVICIUS, A.; JONES, R. C.; STEANE, D. A.; VAILLANCOURT, R. E.; POTTS, B. M.; JOUBERT, F.; BARRY, K.; PAPPAS JUNIOR, G. J.; STRAUSS, S. H.; JAISWAL, P.; GRIMA-PETTENATI, J.; SALSE, J.; PEER, Y. van de; ROKHSAR, D. S.; SCHMUTZ, J. The genome of Eucalyptus grandis. Nature (London), v. 510, p. 356-362, 2014.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
02/05/2018 |
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Data da última atualização: |
18/01/2022 |
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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: |
RAMIREZ-VILLEGAS, J.; HEINEMANN, A. B.; CASTRO, A. P. de; BRESEGHELLO, F.; NAVARRO-RACINES, C.; LI, T.; REBOLLEDO, M. C.; CHALLINOR, A. J. |
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Afiliação: |
JULIAN RAMIREZ-VILLEGAS, UNIVERSITY OF LEEDS, UK; ALEXANDRE BRYAN HEINEMANN, CNPAF; ADRIANO PEREIRA DE CASTRO, CNPAF; FLAVIO BRESEGHELLO, CNPAF; CARLOS NAVARRO-RACINES, CIAT; TAO LI, IRRI; MARIA C. REBOLLEDO, CIAT; ANDREW J. CHALLINOR, UNIVERSITY OF LEEDS, UK. |
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Título: |
Breeding implications of drought stress under future climate for upland rice in Brazil. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Global Change Biology, v. 24, n. 5, p. 2035-2050, May 2018. |
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DOI: |
10.1111/gcb.14071 |
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Idioma: |
Inglês |
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Conteúdo: |
Rice is the most important food crop in the developing world. For rice production systems to address the challenges of increasing demand and climate change, potential and on-farm yield increases must be increased. Breeding is one of the main strategies toward such aim. Here, we hypothesize that climatic and atmospheric changes for the upland rice growing period in central Brazil are likely to alter environment groupings and drought stress patterns by 2050, leading to changing breeding targets during the 21st century. As a result of changes in drought stress frequency and intensity, we found reductions in productivity in the range of 200-600 kg/ha (up to 20%) and reductions in yield stability throughout virtually the entire upland rice growing area (except for the southeast). In the face of these changes, our crop simulation analysis suggests that the current strategy of the breeding program, which aims at achieving wide adaptation, should be adjusted. Based on the results for current and future climates, a weighted selection strategy for the three environmental groups that characterize the region is suggested. For the highly favorable environment (HFE, 36%-41% growing area, depending on RCP), selection should be done under both stress-free and terminal stress conditions; for the favorable environment (FE, 27%-40%), selection should aim at testing under reproductive and terminal stress, and for the least favorable environment (LFE, 23%-27%), selection should be conducted for response to reproductive stress only and for the joint occurrence of reproductive and terminal stress. Even though there are differences in timing, it is noteworthy that stress levels are similar across environments, with 40%-60% of crop water demand unsatisfied. Efficient crop improvement targeted toward adaptive traits for drought tolerance will enhance upland rice crop system resilience under climate change. MenosRice is the most important food crop in the developing world. For rice production systems to address the challenges of increasing demand and climate change, potential and on-farm yield increases must be increased. Breeding is one of the main strategies toward such aim. Here, we hypothesize that climatic and atmospheric changes for the upland rice growing period in central Brazil are likely to alter environment groupings and drought stress patterns by 2050, leading to changing breeding targets during the 21st century. As a result of changes in drought stress frequency and intensity, we found reductions in productivity in the range of 200-600 kg/ha (up to 20%) and reductions in yield stability throughout virtually the entire upland rice growing area (except for the southeast). In the face of these changes, our crop simulation analysis suggests that the current strategy of the breeding program, which aims at achieving wide adaptation, should be adjusted. Based on the results for current and future climates, a weighted selection strategy for the three environmental groups that characterize the region is suggested. For the highly favorable environment (HFE, 36%-41% growing area, depending on RCP), selection should be done under both stress-free and terminal stress conditions; for the favorable environment (FE, 27%-40%), selection should aim at testing under reproductive and terminal stress, and for the least favorable environment (LFE, 23%-27%), selection should be conducted for ... Mostrar Tudo |
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Thesagro: |
Arroz; Melhoramento Genético Vegetal; Modelo de Simulação; Oryza Sativa; Resistência a Seca. |
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Thesaurus NAL: |
Breeding; Climate; Environment; Plant adaptation; Rice; Simulation models. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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001 2091090
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008 2018 bl uuuu u00u1 u #d
024 7 $a10.1111/gcb.14071$2DOI
100 1 $aRAMIREZ-VILLEGAS, J.
245 $aBreeding implications of drought stress under future climate for upland rice in Brazil.
260 $c2018
520 $aRice is the most important food crop in the developing world. For rice production systems to address the challenges of increasing demand and climate change, potential and on-farm yield increases must be increased. Breeding is one of the main strategies toward such aim. Here, we hypothesize that climatic and atmospheric changes for the upland rice growing period in central Brazil are likely to alter environment groupings and drought stress patterns by 2050, leading to changing breeding targets during the 21st century. As a result of changes in drought stress frequency and intensity, we found reductions in productivity in the range of 200-600 kg/ha (up to 20%) and reductions in yield stability throughout virtually the entire upland rice growing area (except for the southeast). In the face of these changes, our crop simulation analysis suggests that the current strategy of the breeding program, which aims at achieving wide adaptation, should be adjusted. Based on the results for current and future climates, a weighted selection strategy for the three environmental groups that characterize the region is suggested. For the highly favorable environment (HFE, 36%-41% growing area, depending on RCP), selection should be done under both stress-free and terminal stress conditions; for the favorable environment (FE, 27%-40%), selection should aim at testing under reproductive and terminal stress, and for the least favorable environment (LFE, 23%-27%), selection should be conducted for response to reproductive stress only and for the joint occurrence of reproductive and terminal stress. Even though there are differences in timing, it is noteworthy that stress levels are similar across environments, with 40%-60% of crop water demand unsatisfied. Efficient crop improvement targeted toward adaptive traits for drought tolerance will enhance upland rice crop system resilience under climate change.
650 $aBreeding
650 $aClimate
650 $aEnvironment
650 $aPlant adaptation
650 $aRice
650 $aSimulation models
650 $aArroz
650 $aMelhoramento Genético Vegetal
650 $aModelo de Simulação
650 $aOryza Sativa
650 $aResistência a Seca
700 1 $aHEINEMANN, A. B.
700 1 $aCASTRO, A. P. de
700 1 $aBRESEGHELLO, F.
700 1 $aNAVARRO-RACINES, C.
700 1 $aLI, T.
700 1 $aREBOLLEDO, M. C.
700 1 $aCHALLINOR, A. J.
773 $tGlobal Change Biology$gv. 24, n. 5, p. 2035-2050, May 2018.
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