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Agro-climatic aptitude for Tanzania guinea grass cultivation in Brazilian semiarid environment. Repositório Alice
CAVALCANTE, A. C. R.; LEMOS, N. L. S.; SILVA, T. G. F. da; SANTOS, P. M.; PEZZOPANE, J. R. M.; CÂNDIDO, M. J. D..
Simulation models use based on biomass production data is a tool that has helped technicians, producers and governments in fast decision-making processes. This study type has evolved along with geographic information systems, enabling geo processing techniques application, allowing crops productive potential areas delimitation in a quick manner and with reliable results. Suitable areas predetermination allows cost, time and risk reduction with Tanzania guinea grass pastures formation. This research was conducted in order to carry out a simulation to determine suitable areas for Tanzania guinea grass cultivation under rainfed conditions, using forage production data in a Brazilian semiarid environment.
Tipo: Anais e Proceedings de eventos Palavras-chave: Semiárido; Sazonalidade; Degree-days; ETA model; Seasonality; Semiarid climate; Forragem; Gramínea forrageira; Chuva; Impacto ambiental; Mudança Climática; Panicum Maximum; Rain; Water balance; Climate change; Livestock; Models; Brazil; Semiarid soils.
Ano: 2015 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1033028
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Climate change impacts on Panicum maximum yield in Brazil. Repositório Alice
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..
Tipo: Separatas Palavras-chave: ETA model; PRECIS model; Degree days.; Climate change; Livestock; Water balance..
Ano: 2014 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/992402
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Panicum maximum cv. Tanzânia: climate trends and regional pasture production in Brazil. Repositório Alice
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 de periódico 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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Panicum maximum cv. Tanzânia: climate trends and regional pasture production in Brazil. Repositório Alice
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 de periódico Palavras-chave: ETA model; Global climate changes; Growing degree days; PRECIS model; Planta forrageira; Water balance.
Ano: 2016 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1059630
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