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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: |
05/12/2018 |
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Data da última atualização: |
12/02/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
HEINEMANN, A. B.; RAMIREZ-VILLEGAS, J.; REBOLLEDO, M. C.; COSTA NETO, G. M. F.; CASTRO, A. P. de. |
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Afiliação: |
ALEXANDRE BRYAN HEINEMANN, CNPAF; JULIAN RAMIREZ-VILLEGAS, CIAT; MARIA CAMILA REBOLLEDO, CIAT; GERMANO MARTINS F. COSTA NETO, UFG; ADRIANO PEREIRA DE CASTRO, CNPAF. |
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Título: |
Upland rice breeding led to increased drought sensitivity in Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Field Crops Research, v. 231, p. 57-67, 2019. |
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ISSN: |
0378-4290 |
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DOI: |
10.1016/j.fcr.2018.11.009 |
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Idioma: |
Inglês |
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Conteúdo: |
The upland rice (UR) crop system located in the Brazilian savannas (states of Mato Grosso, Rondônia, Tocantins and Goiás) is the main upland rice growing area of Brazil and the largest rainfed rice growing area in Latin America. It plays an important social and economic role in central Brazil. UR cropped area, however, has decreased by 70% in the last two decades, partly due to high drought risk. Here, we hypothesize that the UR breeding program?s focus on direct grain selection for wide adaptation has led to an increase in yield potential but a reduction in the capacity of modern cultivars to maintain yield under drought stress. Using the ORYZAv3 rice crop model, we analyzed changes in relative and absolute drought impact for cultivars representative of three decades of breeding: 1980s (1986?1992), 1990s (1993?2002), and 2000s (2003?2013). We found a mean increase in relative drought impact of 12% (0.35% per year) between 1980s and 2000s. Most of the increase occurred during 1980s and 1990s (7%), where a major shift from landraces (i.e. Douradão) to modern cultivars (i.e. cv. BRS Primavera) occurred in the breeding program. Drought adaptation traits such as greater root length density, shorter cycle, and lower stomatal sensitivity to drought have been systematically bred out of the UR material in the period 1980?2013. We recommend the UR breeding program to be adjusted by better targeting to specific drought environments, and by taking into account drought stress profiles and environmental co-variables in statistical analyses for genotype selection. Moreover, physiological studies on tradeoffs between yield potential and drought tolerance should be performed for each target environment to dissect plant traits that confer both high yield potential and low drought sensitivity. These strategies will ultimately ensure that newly released cultivars are adapted to the environmental conditions of the study region, therefore reducing agroclimatic risk for UR farmers. MenosThe upland rice (UR) crop system located in the Brazilian savannas (states of Mato Grosso, Rondônia, Tocantins and Goiás) is the main upland rice growing area of Brazil and the largest rainfed rice growing area in Latin America. It plays an important social and economic role in central Brazil. UR cropped area, however, has decreased by 70% in the last two decades, partly due to high drought risk. Here, we hypothesize that the UR breeding program?s focus on direct grain selection for wide adaptation has led to an increase in yield potential but a reduction in the capacity of modern cultivars to maintain yield under drought stress. Using the ORYZAv3 rice crop model, we analyzed changes in relative and absolute drought impact for cultivars representative of three decades of breeding: 1980s (1986?1992), 1990s (1993?2002), and 2000s (2003?2013). We found a mean increase in relative drought impact of 12% (0.35% per year) between 1980s and 2000s. Most of the increase occurred during 1980s and 1990s (7%), where a major shift from landraces (i.e. Douradão) to modern cultivars (i.e. cv. BRS Primavera) occurred in the breeding program. Drought adaptation traits such as greater root length density, shorter cycle, and lower stomatal sensitivity to drought have been systematically bred out of the UR material in the period 1980?2013. We recommend the UR breeding program to be adjusted by better targeting to specific drought environments, and by taking into account drought stress profiles a... Mostrar Tudo |
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Palavras-Chave: |
Traditional and modern genotypes. |
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Thesagro: |
Arroz; Genótipo; Melhoramento Genético Vegetal; Oryza Sativa; Resistência a Seca. |
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Thesaurus Nal: |
Breeding methods; Crop models; Rice. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02864naa a2200301 a 4500
001 2100803
005 2020-02-12
008 2019 bl uuuu u00u1 u #d
022 $a0378-4290
024 7 $a10.1016/j.fcr.2018.11.009$2DOI
100 1 $aHEINEMANN, A. B.
245 $aUpland rice breeding led to increased drought sensitivity in Brazil.$h[electronic resource]
260 $c2019
520 $aThe upland rice (UR) crop system located in the Brazilian savannas (states of Mato Grosso, Rondônia, Tocantins and Goiás) is the main upland rice growing area of Brazil and the largest rainfed rice growing area in Latin America. It plays an important social and economic role in central Brazil. UR cropped area, however, has decreased by 70% in the last two decades, partly due to high drought risk. Here, we hypothesize that the UR breeding program?s focus on direct grain selection for wide adaptation has led to an increase in yield potential but a reduction in the capacity of modern cultivars to maintain yield under drought stress. Using the ORYZAv3 rice crop model, we analyzed changes in relative and absolute drought impact for cultivars representative of three decades of breeding: 1980s (1986?1992), 1990s (1993?2002), and 2000s (2003?2013). We found a mean increase in relative drought impact of 12% (0.35% per year) between 1980s and 2000s. Most of the increase occurred during 1980s and 1990s (7%), where a major shift from landraces (i.e. Douradão) to modern cultivars (i.e. cv. BRS Primavera) occurred in the breeding program. Drought adaptation traits such as greater root length density, shorter cycle, and lower stomatal sensitivity to drought have been systematically bred out of the UR material in the period 1980?2013. We recommend the UR breeding program to be adjusted by better targeting to specific drought environments, and by taking into account drought stress profiles and environmental co-variables in statistical analyses for genotype selection. Moreover, physiological studies on tradeoffs between yield potential and drought tolerance should be performed for each target environment to dissect plant traits that confer both high yield potential and low drought sensitivity. These strategies will ultimately ensure that newly released cultivars are adapted to the environmental conditions of the study region, therefore reducing agroclimatic risk for UR farmers.
650 $aBreeding methods
650 $aCrop models
650 $aRice
650 $aArroz
650 $aGenótipo
650 $aMelhoramento Genético Vegetal
650 $aOryza Sativa
650 $aResistência a Seca
653 $aTraditional and modern genotypes
700 1 $aRAMIREZ-VILLEGAS, J.
700 1 $aREBOLLEDO, M. C.
700 1 $aCOSTA NETO, G. M. F.
700 1 $aCASTRO, A. P. de
773 $tField Crops Research$gv. 231, p. 57-67, 2019.
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Embrapa Arroz e Feijão (CNPAF) |
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| Registros recuperados : 17 | |
| 3. |  | COSTA NETO, G. M. F.; CASTRO, A. P. de; HEINEMANN, A. B.; DUARTE, J. B. Adaptação genotípica regionalizada por regressão fatorial e covariáveis geográficas. In: SIMPÓSIO INTERNACIONAL DE GENÉTICA E MELHORAMENTO, 7., 2016, Viçosa, MG. Desafios biométricos no melhoramento genético: anais. Viçosa, MG: UFV, 2016. p. 27.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 7. | | ANTOLIN, L. A. S.; COSTA NETO, G. M. F.; BORGES, M. G.; HEINEMANN, A. B. Irrigation efficiency simulation for common bean during dry season, in the municipality of Goiânia, Goiás. In: INOVAGRI INTERNATIONAL MEETING, 3., 2015, Fortaleza. Anais... Fortaleza: INI, 2015.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 8. | | COSTA NETO, G. M. F.; CASTRO, A. P. de; HEINEMANN, A. B.; DUARTE, J. B. Integrando modelos mistos, variáveis ambientais e regressão PLS no estudo dos efeitos G+GE em ensaios de VCU em arroz de terras altas. In: SEMINÁRIO JOVENS TALENTOS, 11., 2017, Santo Antônio de Goiás. Coletânea dos resumos apresentados. Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2017. p. 29. (Embrapa Arroz e Feijão. Documentos, 316).| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 15. | | COSTA NETO, G. M. F.; DUARTE, J. B.; HEINEMANN, A. B.; CASTRO, A. P. de; ANTOLIN, L. A. S. Simulação de interação "genótipo x ambiente" para arroz de terras altas em cenários de aumento da temperatura do ar. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: UFG: SBMP, 2015.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 16. | | CROSSA, J.; MONTESINOS-LÓPEZ, O. A.; PÉREZ-RODRÍGUEZ, P.; COSTA-NETO, G.; FRITSCHE-NETO, R.; ORTIZ, R.; MARTINI, J. W. R.; LILLEMO, M.; MONTESINOS-LÓPEZ, A.; JARQUIN, D.; BRESEGHELLO, F.; CUEVAS, J.; RINCENT, R. Genome and environment based prediction models and methods of complex traits incorporating genotype × environment interaction. In: AHMADI, N.; BARTHOLOME, J. (ed.). Genomic prediction of complex traits: methods and protocols. New York: Humana Press, 2022. p. 245-283. (Methods in Molecular Biology).| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 17. | | ARAÚJO, M. S.; CHAVES, S. F. S.; DIAS, L. A. S.; FERREIRA, F. M.; PEREIRA, G. R.; BEZERRA, A. R. G.; ALVES, R. S.; HEINEMANN, A. B.; BRESEGHELLO, F.; CARNEIRO, P. C. S.; KRAUSE, M. D.; COSTA-NETO, G.; DIAS, K. O. G. GIS-FA: an approach to integrating thematic maps, factor-analytic, and envirotyping for cultivar targeting. Theoretical and Applied Genetics, v. 137, 80, Mar. 2024.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 17 | |
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