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| 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.. |
| 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... |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: ETA model; Global climate changes; Growing degree days; PRECIS model; Geoprocessamento; Feed crops; Geographical information systems; Agricultura de precisão; Planta forrageira; Balanço hídrico; Impacto ambiental; Sistema de Informação Geográfica; Precision agriculture; Environmental impact; Water balance; Brazil. |
| Ano: 2016 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1064731 |
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| 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.. |
| 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... |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: ETA model; PRECIS model; Global climate changes; Growing degree days; Water balance; Planta forrageira; Water balance. |
| Ano: 2016 |
URL: http://www.alice.cnptia.embrapa.br/handle/doc/1055482 |
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