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Scaling-up crop models for climate variability applications

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Cited by:

  1. Everingham, Y. L. & Muchow, R. C. & Stone, R. C. & Inman-Bamber, N. G. & Singels, A. & Bezuidenhout, C. N., 2002. "Enhanced risk management and decision-making capability across the sugarcane industry value chain based on seasonal climate forecasts," Agricultural Systems, Elsevier, vol. 74(3), pages 459-477, December.
  2. Abdul Rehman & Luan Jingdong, 2017. "An econometric analysis of major Chinese food crops: An empirical study," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1323372-132, January.
  3. Quiroga, Sonia & Iglesias, Ana, 2009. "A comparison of the climate risks of cereal, citrus, grapevine and olive production in Spain," Agricultural Systems, Elsevier, vol. 101(1-2), pages 91-100, June.
  4. Jin, Xiuliang & Li, Zhenhai & Feng, Haikuan & Ren, Zhibin & Li, Shaokun, 2020. "Estimation of maize yield by assimilating biomass and canopy cover derived from hyperspectral data into the AquaCrop model," Agricultural Water Management, Elsevier, vol. 227(C).
  5. Zhao, Quanying & Brocks, Sebastian & Lenz-Wiedemann, Victoria I.S. & Miao, Yuxin & Zhang, Fusuo & Bareth, Georg, 2017. "Detecting spatial variability of paddy rice yield by combining the DNDC model with high resolution satellite images," Agricultural Systems, Elsevier, vol. 152(C), pages 47-57.
  6. Mavromatis, T., 2016. "Spatial resolution effects on crop yield forecasts: An application to rainfed wheat yield in north Greece with CERES-Wheat," Agricultural Systems, Elsevier, vol. 143(C), pages 38-48.
  7. Anubhab Pattanayak & K. S. Kavi Kumar, "undated". "Does Weather Sensitivity of Rice Yield Vary Across Regions? Evidence from Eastern and Southern India," Working Papers 2017-162, Madras School of Economics,Chennai,India.
  8. Finger, Robert, 2012. "Biases in Farm-Level Yield Risk Analysis due to Data Aggregation," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 61(1).
  9. Hardaker, J. Brian & Lien, Gudbrand, 2010. "Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change," Agricultural Systems, Elsevier, vol. 103(6), pages 345-350, July.
  10. Bezuidenhout, C.N. & Singels, A., 2007. "Operational forecasting of South African sugarcane production: Part 1 - System description," Agricultural Systems, Elsevier, vol. 92(1-3), pages 23-38, January.
  11. Kar, Gouranga & Verma, H.N., 2005. "Climatic water balance, probable rainfall, rice crop water requirements and cold periods in AER 12.0 in India," Agricultural Water Management, Elsevier, vol. 72(1), pages 15-32, March.
  12. Finger, Robert, 2012. "Biases in Farm-Level Yield Risk Analysis due to Data Aggregation," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 61(01), pages 1-14, February.
  13. World Bank, 2010. "Improving Water Management in Rainfed Agriculture : Issues and Options in Water-Constrained Production Systems," World Bank Publications - Reports 13028, The World Bank Group.
  14. Louise Beveridge & Stephen Whitfield & Andy Challinor, 2018. "Crop modelling: towards locally relevant and climate-informed adaptation," Climatic Change, Springer, vol. 147(3), pages 475-489, April.
  15. Podesta, Guillermo & Letson, David & Messina, Carlos & Royce, Fred & Ferreyra, R. Andres & Jones, James & Hansen, James & Llovet, Ignacio & Grondona, Martin & O'Brien, James J., 2002. "Use of ENSO-related climate information in agricultural decision making in Argentina: a pilot experience," Agricultural Systems, Elsevier, vol. 74(3), pages 371-392, December.
  16. Li, Runwei & Wei, Chenyang & Afroz, Mahnaz Dil & Lyu, Jun & Chen, Gang, 2021. "A GIS-based framework for local agricultural decision-making and regional crop yield simulation," Agricultural Systems, Elsevier, vol. 193(C).
  17. Che-Chen Xu & Wen-Xiang Wu & Quan-Sheng Ge & Yang Zhou & Yu-Mei Lin & Ya-Mei Li, 2017. "Simulating climate change impacts and potential adaptations on rice yields in the Sichuan Basin, China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(4), pages 565-594, April.
  18. Schlindwein, Sandro L. & Eulenstein, Frank & Lana, Marcos & Sieber, Stefan & Boulanger, Jean-Philippe & Guevara, Edgardo & Meira, Santiago & Gentile, Elvira & Bonatti, Michelle, 2015. "What Can Be Learned about the Adaptation Process of Farming Systems to Climate Dynamics Using Crop Models?," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 4(4).
  19. repec:plo:pone00:0151782 is not listed on IDEAS
  20. Mohamed Amine Benaly & Youssef Brouziyne & Mohamed Hakim Kharrou & Abdelghani Chehbouni & Lhoussaine Bouchaou, 2025. "Crop modeling to address climate change challenges in Africa: status, gaps, and opportunities," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 30(2), pages 1-30, February.
  21. Bezuidenhout, C.N. & Singels, A., 2007. "Operational forecasting of South African sugarcane production: Part 2 - System evaluation," Agricultural Systems, Elsevier, vol. 92(1-3), pages 39-51, January.
  22. Balkovič, Juraj & van der Velde, Marijn & Schmid, Erwin & Skalský, Rastislav & Khabarov, Nikolay & Obersteiner, Michael & Stürmer, Bernhard & Xiong, Wei, 2013. "Pan-European crop modelling with EPIC: Implementation, up-scaling and regional crop yield validation," Agricultural Systems, Elsevier, vol. 120(C), pages 61-75.
  23. Stoorvogel, J. J. & Antle, J. M. & Crissman, C. C. & Bowen, W., 2004. "The tradeoff analysis model: integrated bio-physical and economic modeling of agricultural production systems," Agricultural Systems, Elsevier, vol. 80(1), pages 43-66, April.
  24. James Watson & Andrew Challinor & Thomas Fricker & Christopher Ferro, 2015. "Comparing the effects of calibration and climate errors on a statistical crop model and a process-based crop model," Climatic Change, Springer, vol. 132(1), pages 93-109, September.
  25. Adam, M. & Van Bussel, L.G.J. & Leffelaar, P.A. & Van Keulen, H. & Ewert, F., 2011. "Effects of modelling detail on simulated potential crop yields under a wide range of climatic conditions," Ecological Modelling, Elsevier, vol. 222(1), pages 131-143.
  26. Davide Cammarano & David Zierden & Lydia Stefanova & Senthold Asseng & James O’Brien & James Jones, 2016. "Using historical climate observations to understand future climate change crop yield impacts in the Southeastern US," Climatic Change, Springer, vol. 134(1), pages 311-326, January.
  27. Piewthongngam, Kullapapruk & Pathumnakul, Supachai & Setthanan, Kanchana, 2009. "Application of crop growth simulation and mathematical modeling to supply chain management in the Thai sugar industry," Agricultural Systems, Elsevier, vol. 102(1-3), pages 58-66, October.
  28. Xiong, Wei & Holman, Ian & Conway, Declan & Lin, Erda & Li, Yue, 2008. "A crop model cross calibration for use in regional climate impacts studies," Ecological Modelling, Elsevier, vol. 213(3), pages 365-380.
  29. Heinemann, A. B. & Hoogenboom, G. & de Faria, R. T., 2002. "Determination of spatial water requirements at county and regional levels using crop models and GIS: An example for the State of Parana, Brazil," Agricultural Water Management, Elsevier, vol. 52(3), pages 177-196, January.
  30. Tenreiro, Tomás R. & García-Vila, Margarita & Gómez, José A. & Jimenez-Berni, José A. & Fereres, Elías, 2020. "Water modelling approaches and opportunities to simulate spatial water variations at crop field level," Agricultural Water Management, Elsevier, vol. 240(C).
  31. van Ittersum, Martin K. & Ewert, Frank & Heckelei, Thomas & Wery, Jacques & Alkan Olsson, Johanna & Andersen, Erling & Bezlepkina, Irina & Brouwer, Floor & Donatelli, Marcello & Flichman, Guillermo & , 2008. "Integrated assessment of agricultural systems - A component-based framework for the European Union (SEAMLESS)," Agricultural Systems, Elsevier, vol. 96(1-3), pages 150-165, March.
  32. Ana Iglesias & Luis Garrote & Sonia Quiroga & Marta Moneo, 2012. "A regional comparison of the effects of climate change on agricultural crops in Europe," Climatic Change, Springer, vol. 112(1), pages 29-46, May.
  33. J. García-López & Ignacio Lorite & R. García-Ruiz & J. Domínguez, 2014. "Evaluation of three simulation approaches for assessing yield of rainfed sunflower in a Mediterranean environment for climate change impact modelling," Climatic Change, Springer, vol. 124(1), pages 147-162, May.
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