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Rice yield estimation based on weather conditions and on technological level of production systems in Brazil. Author(s): MONTEIRO, J. E. B. de A.; AZEVEDO, L. da C.; ASSAD, E. D.; SENTELHAS, P. C. The objective of this work was to evaluate an estimation system for rice yield in Brazil, based on simple agrometeorological models and on the technological level of production systems. This estimatio... ... Repository: BDPA Publication year: 2013
CGIAR modeling approaches for resource-constrained scenarios: I. Accelerating crop breeding for a changing climate. Author(s): RAMIREZ-VILLEGAS, J.; MOLERO MILAN, A.; ALEXANDROV, N.; ASSENG, S.; CHALLINOR, A. J.; CROSSA, J.; VAN EEUWIJK, F.; GHANEM, M. E.; GRENIER, C.; HEINEMANN, A. B.; WANG, J.; JULIANA, P.; KEHEL, Z.; KHOLOVA, J; KOO, J.; PEQUENO, D.; QUIROZ, R.; REBOLLEDO, M. C.; SUKUMARAN, S.; VADEZ, V.; WHITE, J. W.; REYNOLDS, M. Crop improvement efforts aiming at increasing crop production (quantity, quality) and adapting to climate change have been subject of active research over the past years. But, the question remains 'to... ... Repository: BDPA Publication year: 2020
Simulating N2O fluxes from a Brazilian cropped soil with contrasted tillage practices. Author(s): METAY, A.; CHAPUIS-LARDY, L.; FINDELING, A.; OLIVER, R.; MOREIRA, J. A. A.; FELLER, C. Assessing the N2O fluxes balance is a key challenge to estimate the effect of agriculture practices on greenhouse gas production. N2O fluxes remained difficult to measure on a field scale due to high... ... Repository: BDPA Publication year: 2011
Profitability of soybean production models with diversified crops in the autumn-winter. Author(s): GARBELINI, L. G.; FRANCHINI, J. C.; DEBIASI, H.; BALBINOT JUNIOR, A. A.; BETIOLI JUNIOR, E.; TELLES, T. S. Repository: BDPA Publication year: 2020
Determining optimum sowing date for maize using modelling approach. Author(s): HEINEMANN, A. B.; STONE, L. F. The objective of this study was to determine the optimum sowing date for maize at Santo Antonio de Goiás, GO, Brazil. To optimize solar radiation and precipitation during the maize sowing period (from... ... Repository: BDPA Publication year: 2008
Application of high-resolution regional climate model simulations for crop yield estimation in Southern Brazil. Author(s): CUADRA, S. V.; OLIVEIRA, M. P. G. de; VICTORIA, D. de C.; BENDER, F. D.; BETTOLLI, M. L.; SOLMAN, S.; ROCHA, R. P. da; FERNÁNDEZ, J.; MILOVAC, J.; COPOLLA, E.; DOYLE, M. Abstract: This study is focused on assessing the impacts of different regional climate model targeted simulations performed at convection-permitting resolution (CPRCM) in the AgS crop model yield simu... ... Repository: BDPA Publication year: 2025
Monitoramento da safra soja 2006/07 - sistema de previsão da safra de soja para o Brasil "SPSoja Agritempo". Author(s): PILAU, F. G.; PACHECO, L. R.; MARIN, F. R.; ASSAD, E. D. A Embrapa Informática Agropecúaria, como parceira desse projeto, ao longo dos últimos dois anos desenvolveu e segue aperfeiçoando um sistema de previsão de safra de soja para o Brasil - SPSoja Agritem... ... Repository: BDPA Publication year: 2007
Efeito do El Niño Oscilação Sul na produtividade da soja em Planaltina, DF. Author(s): LUIZ, A. J. B.; SILVA, F. A. M. da Resumo: O fenômeno El Niño Oscilação Sul (ENOS) pode modificar as interações entre variáveis meteorológicas e produção das culturas agrícolas. Avaliar essas modificações por meio de modelos de simulaç... ... Repository: BDPA Publication year: 2024
Rice management decisions using process-based models with climate-smart indicators. Author(s): ARENAS-CALLE, L. N.; HEINEMANN, A. B.; SILVA, M. A. S. da; SANTOS, A. B. dos; RAMIREZ-VILLEGAS, J.; WHITFIELD, S.; CHALLINOR, A. J. Irrigation strategies are keys to fostering sustainable and climate-resilient rice production by increasing efficiency, building resilience and reducing Greenhouse Gas (GHG) emissions. These strategie... ... Repository: BDPA Publication year: 2022
Sensitivity of APSIM/ORYZA model due to estimation errors in solar radiation. Author(s): HEINEMANN, A. B.; VAN OORT, P. A. J.; FERNANDES, D. S.; MAIA, A. de H. N. Crop models are ideally suited to quantify existing climatic risks. However, they require historic climate data as input. While daily temperature and rainfall data are often available, the lack of obs... ... Repository: BDPA Publication year: 2012

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