IDEAS home Printed from https://ideas.repec.org/r/eee/agisys/v65y2000i1p43-72.html
   My bibliography  Save this item

Scaling-up crop models for climate variability applications

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. 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).
  2. 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.
  3. 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.
  4. 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.
  5. 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).
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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).
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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).
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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).
  28. 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.
  29. 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.
  30. 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.
  31. 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.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.