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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
11/08/1999 |
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Data da última atualização: |
10/03/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
HEINEMANN, A. B.; RAMIREZ-VILLEGAS, J.; STONE, L. F.; SILVA, A. P. G. A.; MATTA, D. H. da; DIAZ, M. E. P. |
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Afiliação: |
ALEXANDRE BRYAN HEINEMANN, CNPAF; JULIAN RAMIREZ-VILLEGAS, CIAT; LUIS FERNANDO STONE, CNPAF; ANA PAULA GARCIA ABREU SILVA, UFG; DAVID HENRIQUES DA MATTA, UFG; MARIO ERNESTO PISCOYA DIAZ, UFG. |
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Título: |
The impact of El Niño Southern Oscillation on cropping season rainfall variability across Central Brazil. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
International Journal of Climatology, v. 41, n. S1, p. E283-E304, Jan. 2021. |
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ISSN: |
1097-0088 |
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DOI: |
https://doi.org/10.1002/joc.6684 |
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Idioma: |
Inglês |
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Conteúdo: |
Local-level understanding of within-season rainfall variability and its relationship with the El Niño Southern Oscillation (ENSO) can shed light on crop yield variations and establish appropriate cropping calendars in rainfed systems. This requires information on the growing season, including its length, the total rainfall, the onset and cessation of rainfall, the number of wet and dry days, and the optimal sowing window. The objective of this study was to examine the onset and cessation of both the rainy and growing seasons using historical daily rainfall datasets (1980?2013) from 50 weather stations distributed across the main grain production region of Brazil. We then correlated the interannual variability of the climate variables and crop water availability with ENSO (using the Oceanic Niño Index, ONI). Across the study region, the onset of the rainy period ranged from late September to early November, and the cessation period ranged from late March to mid-April. The onset of the growing season followed that of the rainy season, beginning across central and northern Mato Grosso in mid-October, followed by Goiás and Tocantins, and finally Rondônia by the end of October. The length of the sowing window was reduced, and the mean optimal sowing date was delayed during La Niña years for most weather stations in the study region. Our results infer the need to adjust the cropping calendars for specific ENSO phases only in regions that conduct crop rotations. Based on rice crop model simulations of water availability, we propose a mean optimal crop sowing calendar for annual crops in Central Brazil. MenosLocal-level understanding of within-season rainfall variability and its relationship with the El Niño Southern Oscillation (ENSO) can shed light on crop yield variations and establish appropriate cropping calendars in rainfed systems. This requires information on the growing season, including its length, the total rainfall, the onset and cessation of rainfall, the number of wet and dry days, and the optimal sowing window. The objective of this study was to examine the onset and cessation of both the rainy and growing seasons using historical daily rainfall datasets (1980?2013) from 50 weather stations distributed across the main grain production region of Brazil. We then correlated the interannual variability of the climate variables and crop water availability with ENSO (using the Oceanic Niño Index, ONI). Across the study region, the onset of the rainy period ranged from late September to early November, and the cessation period ranged from late March to mid-April. The onset of the growing season followed that of the rainy season, beginning across central and northern Mato Grosso in mid-October, followed by Goiás and Tocantins, and finally Rondônia by the end of October. The length of the sowing window was reduced, and the mean optimal sowing date was delayed during La Niña years for most weather stations in the study region. Our results infer the need to adjust the cropping calendars for specific ENSO phases only in regions that conduct crop rotations. Based on rice crop ... Mostrar Tudo |
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Thesagro: |
Chuva; Zoneamento Climático. |
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Thesaurus Nal: |
Cerrado soils; Crop models; El Nino; Rainfall duration; Seasons. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02503naa a2200289 a 4500
001 1205963
005 2021-03-10
008 2021 bl uuuu u00u1 u #d
022 $a1097-0088
024 7 $ahttps://doi.org/10.1002/joc.6684$2DOI
100 1 $aHEINEMANN, A. B.
245 $aThe impact of El Niño Southern Oscillation on cropping season rainfall variability across Central Brazil.$h[electronic resource]
260 $c2021
520 $aLocal-level understanding of within-season rainfall variability and its relationship with the El Niño Southern Oscillation (ENSO) can shed light on crop yield variations and establish appropriate cropping calendars in rainfed systems. This requires information on the growing season, including its length, the total rainfall, the onset and cessation of rainfall, the number of wet and dry days, and the optimal sowing window. The objective of this study was to examine the onset and cessation of both the rainy and growing seasons using historical daily rainfall datasets (1980?2013) from 50 weather stations distributed across the main grain production region of Brazil. We then correlated the interannual variability of the climate variables and crop water availability with ENSO (using the Oceanic Niño Index, ONI). Across the study region, the onset of the rainy period ranged from late September to early November, and the cessation period ranged from late March to mid-April. The onset of the growing season followed that of the rainy season, beginning across central and northern Mato Grosso in mid-October, followed by Goiás and Tocantins, and finally Rondônia by the end of October. The length of the sowing window was reduced, and the mean optimal sowing date was delayed during La Niña years for most weather stations in the study region. Our results infer the need to adjust the cropping calendars for specific ENSO phases only in regions that conduct crop rotations. Based on rice crop model simulations of water availability, we propose a mean optimal crop sowing calendar for annual crops in Central Brazil.
650 $aCerrado soils
650 $aCrop models
650 $aEl Nino
650 $aRainfall duration
650 $aSeasons
650 $aChuva
650 $aZoneamento Climático
700 1 $aRAMIREZ-VILLEGAS, J.
700 1 $aSTONE, L. F.
700 1 $aSILVA, A. P. G. A.
700 1 $aMATTA, D. H. da
700 1 $aDIAZ, M. E. P.
773 $tInternational Journal of Climatology$gv. 41, n. S1, p. E283-E304, Jan. 2021.
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Embrapa Arroz e Feijão (CNPAF) |
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| 3. |  | MALEGORI, C.; MARQUES, E. J. N.; FREITAS, S. T. de; PIMENTEL, M. F.; PASQUINI, C.; CASIRAGHI, E. Comparing the analytical performances of Micro-NIR and FT-NIR spectrometers in the evaluation of acerola fruit quality, using PLS and SVM regression algorithms. Talanta, v. 165, 112-116, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
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