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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Caprinos e Ovinos; Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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Data corrente: |
27/10/2016 |
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Data da última atualização: |
29/09/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PEZZOPANE, J. R. M.; SANTOS, P. M.; EVANGELISTA, S. R. M.; BOSI, C.; CAVALCANTE, A. C. R.; BETTIOL, G. M.; GOMIDE, C. A. de M.; PELLEGRINO, G. Q. |
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Afiliação: |
CARLOS AUGUSTO DE MIRANDA GOMIDE, CNPGL. |
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Título: |
Panicum maximum cv. Tanzânia: climate trends and regional pasture production in Brazil. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Grass and forage science, v. 72, n. 1, p. 104-117, 2016. |
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DOI: |
https://doi.org/10.1111/gfs.12229 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstracts: Projected change in forage production under a range of climate scenarios is important for the evaluation of the impacts of global climate change on pasture-based livestock production systems in Brazil. We evaluated the effects of regional climate trends on Panicum maximum cv. Tanzânia production, predicted by agro-meteorological model considering the sum of degree days and corrected by a water availa bility index. Data from Brazilian weather stations (1963-2009) were considered as the current climate (baseline), and future scenarios, based on contrasting scenarios interms of increased temperature and atmospheric CO2 concentrations (high and low increases), were determined for 2013?2040 (2025 scenario) and for 2043-2070 (2055 scenario). Predicted baseline scenarios indicated that there are regional and seasonal variations in P. maximum production related to variation intemperature and water availability during the year. Production was lower in the Northeast region and higher in the rainforest area. Total annual productionunder future climate scenarios was predicted toincrease by up to 20% for most of the Brazilian area, mainly due to temperature increase, according to each climate model and scenario evaluated. The highest increase in forage production is expected to be in the South, Southeast and Central-west areas of Brazil. In these regions, future climate scenarios will not lead to changes in the seasonal production, with largerincreases in productivity during the summer. Climate risk is expected to decrease, as the probability of occurrence of low forage productions will be lower. Due to the predicted increase in temperature and decrease in rainfall in the Northeast area, P. maximum production is expected to decrease, mainly when considering scenarios based on the PRECIS model for the 2055 scenario. MenosAbstracts: Projected change in forage production under a range of climate scenarios is important for the evaluation of the impacts of global climate change on pasture-based livestock production systems in Brazil. We evaluated the effects of regional climate trends on Panicum maximum cv. Tanzânia production, predicted by agro-meteorological model considering the sum of degree days and corrected by a water availa bility index. Data from Brazilian weather stations (1963-2009) were considered as the current climate (baseline), and future scenarios, based on contrasting scenarios interms of increased temperature and atmospheric CO2 concentrations (high and low increases), were determined for 2013?2040 (2025 scenario) and for 2043-2070 (2055 scenario). Predicted baseline scenarios indicated that there are regional and seasonal variations in P. maximum production related to variation intemperature and water availability during the year. Production was lower in the Northeast region and higher in the rainforest area. Total annual productionunder future climate scenarios was predicted toincrease by up to 20% for most of the Brazilian area, mainly due to temperature increase, according to each climate model and scenario evaluated. The highest increase in forage production is expected to be in the South, Southeast and Central-west areas of Brazil. In these regions, future climate scenarios will not lead to changes in the seasonal production, with largerincreases in productivity during t... Mostrar Tudo |
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Palavras-Chave: |
ETA model; Feed crops; Geographical information systems; Geoprocessamento; Global climate changes; Growing degree days; Mudanças climáticas; PRECIS model. |
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Thesagro: |
Agricultura de precisão; Balanço hídrico; Impacto ambiental; Planta forrageira; Sistema de Informação Geográfica. |
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Thesaurus Nal: |
Brazil; Environmental impact; Precision agriculture; water balance. |
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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/doc/1059630/1/Panicum-maximum-cv.-Tanzania-climate-trends-and-regional-pasture-production-in-Brazil.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/184397/1/CNPC-2016-Panicum.pdf
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Marc: |
LEADER 03128naa a2200421 a 4500
001 2059630
005 2022-09-29
008 2016 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1111/gfs.12229$2DOI
100 1 $aPEZZOPANE, J. R. M.
245 $aPanicum maximum cv. Tanzânia$bclimate trends and regional pasture production in Brazil.$h[electronic resource]
260 $c2016
520 $aAbstracts: Projected change in forage production under a range of climate scenarios is important for the evaluation of the impacts of global climate change on pasture-based livestock production systems in Brazil. We evaluated the effects of regional climate trends on Panicum maximum cv. Tanzânia production, predicted by agro-meteorological model considering the sum of degree days and corrected by a water availa bility index. Data from Brazilian weather stations (1963-2009) were considered as the current climate (baseline), and future scenarios, based on contrasting scenarios interms of increased temperature and atmospheric CO2 concentrations (high and low increases), were determined for 2013?2040 (2025 scenario) and for 2043-2070 (2055 scenario). Predicted baseline scenarios indicated that there are regional and seasonal variations in P. maximum production related to variation intemperature and water availability during the year. Production was lower in the Northeast region and higher in the rainforest area. Total annual productionunder future climate scenarios was predicted toincrease by up to 20% for most of the Brazilian area, mainly due to temperature increase, according to each climate model and scenario evaluated. The highest increase in forage production is expected to be in the South, Southeast and Central-west areas of Brazil. In these regions, future climate scenarios will not lead to changes in the seasonal production, with largerincreases in productivity during the summer. Climate risk is expected to decrease, as the probability of occurrence of low forage productions will be lower. Due to the predicted increase in temperature and decrease in rainfall in the Northeast area, P. maximum production is expected to decrease, mainly when considering scenarios based on the PRECIS model for the 2055 scenario.
650 $aBrazil
650 $aEnvironmental impact
650 $aPrecision agriculture
650 $awater balance
650 $aAgricultura de precisão
650 $aBalanço hídrico
650 $aImpacto ambiental
650 $aPlanta forrageira
650 $aSistema de Informação Geográfica
653 $aETA model
653 $aFeed crops
653 $aGeographical information systems
653 $aGeoprocessamento
653 $aGlobal climate changes
653 $aGrowing degree days
653 $aMudanças climáticas
653 $aPRECIS model
700 1 $aSANTOS, P. M.
700 1 $aEVANGELISTA, S. R. M.
700 1 $aBOSI, C.
700 1 $aCAVALCANTE, A. C. R.
700 1 $aBETTIOL, G. M.
700 1 $aGOMIDE, C. A. de M.
700 1 $aPELLEGRINO, G. Q.
773 $tGrass and forage science$gv. 72, n. 1, p. 104-117, 2016.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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| 1. |  | PEZZOPANE, J. R. M.; SANTOS, P. M.; EVANGELISTA, S. R. M.; BOSI, C.; CAVALCANTE, A. C. R.; BETTIOL, G. M.; GOMIDE, C. A. de M.; PELLEGRINO, G. Q. Panicum maximum cv. Tanzânia: climate trends and regional pasture production in Brazil. Grass and forage science, v. 72, n. 1, p. 104-117, 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Caprinos e Ovinos; Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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