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Uncertainty in simulating wheat yields under climate change

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  1. Wang, Zhiqiang & Ye, Li & Jiang, Jingyi & Fan, Yida & Zhang, Xiaoran, 2022. "Review of application of EPIC crop growth model," Ecological Modelling, Elsevier, vol. 467(C).
  2. Palosuo, Taru & Hoffmann, Munir P. & Rötter, Reimund P. & Lehtonen, Heikki S., 2021. "Sustainable intensification of crop production under alternative future changes in climate and technology: The case of the North Savo region," Agricultural Systems, Elsevier, vol. 190(C).
  3. Ke Liu & Matthew Tom Harrison & Haoliang Yan & De Li Liu & Holger Meinke & Gerrit Hoogenboom & Bin Wang & Bin Peng & Kaiyu Guan & Jonas Jaegermeyr & Enli Wang & Feng Zhang & Xiaogang Yin & Sotirios Ar, 2023. "Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  4. Kroes, Joop & van Dam, Jos & Supit, Iwan & de Abelleyra, Diego & Verón, Santiago & de Wit, Allard & Boogaard, Hendrik & Angelini, Marcos & Damiano, Francisco & Groenendijk, Piet & Wesseling, Jan & Vel, 2019. "Agrohydrological analysis of groundwater recharge and land use changes in the Pampas of Argentina," Agricultural Water Management, Elsevier, vol. 213(C), pages 843-857.
  5. Huang, Mingxia & Wang, Jing & Wang, Bin & Liu, De Li & Feng, Puyu & Yu, Qiang & Pan, Xuebiao & Li, Siyi & Jiang, Tengcong, 2022. "Dominant sources of uncertainty in simulating maize adaptation under future climate scenarios in China," Agricultural Systems, Elsevier, vol. 199(C).
  6. Shekhar, Ankit & Shapiro, Charles A., 2022. "Prospective crop yield and income return based on a retrospective analysis of a long-term rainfed agriculture experiment in Nebraska," Agricultural Systems, Elsevier, vol. 198(C).
  7. Li, Na & Yao, Ning & Li, Yi & Chen, Junqing & Liu, Deli & Biswas, Asim & Li, Linchao & Wang, Tianxue & Chen, Xinguo, 2021. "A meta-analysis of the possible impact of climate change on global cotton yield based on crop simulation approaches," Agricultural Systems, Elsevier, vol. 193(C).
  8. Liu, Huan & Pequeno, Diego N.L. & Hernández-Ochoa, Ixchel M. & Krupnik, Timothy J. & Sonder, Kai & Xiong, Wei & Xu, Yinlong, 2020. "A consistent calibration across three wheat models to simulate wheat yield and phenology in China," Ecological Modelling, Elsevier, vol. 430(C).
  9. Nóia Júnior, Rogério de Souza & Sentelhas, Paulo Cesar, 2019. "Soybean-maize off-season double crop system in Brazil as affected by El Niño Southern Oscillation phases," Agricultural Systems, Elsevier, vol. 173(C), pages 254-267.
  10. Ibrahim M. A. Soliman, 2019. "Forecasting Model of Wheat Yield in Relation to Rainfall Variability in North Africa Countries," International Journal of Food and Beverage Manufacturing and Business Models (IJFBMBM), IGI Global, vol. 4(2), pages 1-17, July.
  11. Hao, Shirui & Ryu, Dongryeol & Western, Andrew & Perry, Eileen & Bogena, Heye & Franssen, Harrie Jan Hendricks, 2021. "Performance of a wheat yield prediction model and factors influencing the performance: A review and meta-analysis," Agricultural Systems, Elsevier, vol. 194(C).
  12. Keikha, Mahdi & Darzi- Naftchali, Abdullah & Motevali, Ali & Valipour, Mohammad, 2023. "Effect of nitrogen management on the environmental and economic sustainability of wheat production in different climates," Agricultural Water Management, Elsevier, vol. 276(C).
  13. Tianyi Zhang & Yong He & Ron DePauw & Zhenong Jin & David Garvin & Xu Yue & Weston Anderson & Tao Li & Xin Dong & Tao Zhang & Xiaoguang Yang, 2022. "Climate change may outpace current wheat breeding yield improvements in North America," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
  14. Chapagain, Ranju & Huth, Neil & Remenyi, Tomas A. & Mohammed, Caroline L. & Ojeda, Jonathan J., 2023. "Assessing the effect of using different APSIM model configurations on model outputs," Ecological Modelling, Elsevier, vol. 483(C).
  15. Martins, Minella Alves & Tomasella, Javier & Dias, Cássia Gabriele, 2019. "Maize yield under a changing climate in the Brazilian Northeast: Impacts and adaptation," Agricultural Water Management, Elsevier, vol. 216(C), pages 339-350.
  16. Schils, René L.M. & van Voorn, George A.K. & Grassini, Patricio & van Ittersum, Martin K., 2022. "Uncertainty is more than a number or colour: Involving experts in uncertainty assessments of yield gaps," Agricultural Systems, Elsevier, vol. 195(C).
  17. Jiang, Tengcong & Wang, Bin & Duan, Xiaoning & Liu, De Li & He, Jianqiang & He, Liang & Jin, Ning & Feng, Hao & Yu, Qiang, 2023. "Prioritizing agronomic practices and uncertainty assessment under climate change for winter wheat in the loess plateau, China," Agricultural Systems, Elsevier, vol. 212(C).
  18. Reidsma, Pytrik & Bakker, Martha M. & Kanellopoulos, Argyris & Alam, Shah J. & Paas, Wim & Kros, Johannes & de Vries, Wim, 2015. "Sustainable agricultural development in a rural area in the Netherlands? Assessing impacts of climate and socio-economic change at farm and landscape level," Agricultural Systems, Elsevier, vol. 141(C), pages 160-173.
  19. Duan, Hongbo & Yuan, Deyu & Cai, Zongwu & Wang, Shouyang, 2022. "Valuing the impact of climate change on China’s economic growth," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 155-174.
  20. Mittenzwei, Klaus & Persson, Tomas & Höglind, Mats & Kværnø, Sigrun, 2017. "Combined effects of climate change and policy uncertainty on the agricultural sector in Norway," Agricultural Systems, Elsevier, vol. 153(C), pages 118-126.
  21. Hendriks, C.M.J. & Stoorvogel, J.J. & Claessens, L., 2016. "Exploring the challenges with soil data in regional land use analysis," Agricultural Systems, Elsevier, vol. 144(C), pages 9-21.
  22. Hao, Shirui & Ryu, Dongryeol & Western, Andrew W & Perry, Eileen & Bogena, Heye & Franssen, Harrie Jan Hendricks, 2024. "Global sensitivity analysis of APSIM-wheat yield predictions to model parameters and inputs," Ecological Modelling, Elsevier, vol. 487(C).
  23. Yun, Kyungdahm & Hsiao, Jennifer & Jung, Myung-Pyo & Choi, In-Tae & Glenn, D. Michael & Shim, Kyo-Moon & Kim, Soo-Hyung, 2017. "Can a multi-model ensemble improve phenology predictions for climate change studies?," Ecological Modelling, Elsevier, vol. 362(C), pages 54-64.
  24. Licheng Liu & Wang Zhou & Kaiyu Guan & Bin Peng & Shaoming Xu & Jinyun Tang & Qing Zhu & Jessica Till & Xiaowei Jia & Chongya Jiang & Sheng Wang & Ziqi Qin & Hui Kong & Robert Grant & Symon Mezbahuddi, 2024. "Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  25. Qiao, Shengchao & Harrison, Sandy P. & Prentice, I. Colin & Wang, Han, 2023. "Optimality-based modelling of wheat sowing dates globally," Agricultural Systems, Elsevier, vol. 206(C).
  26. Bohan, David & Schmucki, Reto & Abay, Abrha & Termansen, Mette & Bane, Miranda & Charalabiis, Alice & Cong, Rong-Gang & Derocles, Stephane & Dorner, Zita & Forster, Matthieu & Gibert, Caroline & Harro, 2020. "Designing farmer-acceptable rotations that assure ecosystem service provision inthe face of climate change," MPRA Paper 112313, University Library of Munich, Germany.
  27. Wang, Xiaowen & Li, Liang & Ding, Yibo & Xu, Jiatun & Wang, Yunfei & Zhu, Yan & Wang, Xiaoyun & Cai, Huanjie, 2021. "Adaptation of winter wheat varieties and irrigation patterns under future climate change conditions in Northern China," Agricultural Water Management, Elsevier, vol. 243(C).
  28. Thi Lan Anh Dinh & Filipe Aires, 2023. "Revisiting the bias correction of climate models for impact studies," Climatic Change, Springer, vol. 176(10), pages 1-30, October.
  29. Ojeda, Jonathan J. & Huth, Neil & Holzworth, Dean & Raymundo, Rubí & Zyskowski, Robert F. & Sinton, Sarah M. & Michel, Alexandre J. & Brown, Hamish E., 2021. "Assessing errors during simulation configuration in crop models – A global case study using APSIM-Potato," Ecological Modelling, Elsevier, vol. 458(C).
  30. Markhof,Yannick Valentin & Ponzini,Giulia & Wollburg,Philip Randolph, 2022. "Measuring Disaster Crop Production Losses Using Survey Microdata : Evidence from Sub-Saharan Africa," Policy Research Working Paper Series 9968, The World Bank.
  31. Tamilarasu Arivelarasan & V. S. Manivasagam & Vellingiri Geethalakshmi & Kulanthaivel Bhuvaneswari & Kiruthika Natarajan & Mohan Balasubramanian & Ramasamy Gowtham & Raveendran Muthurajan, 2023. "How Far Will Climate Change Affect Future Food Security? An Inquiry into the Irrigated Rice System of Peninsular India," Agriculture, MDPI, vol. 13(3), pages 1-20, February.
  32. Zimmermann, Andrea & Webber, Heidi & Zhao, Gang & Ewert, Frank & Kros, Johannes & Wolf, Joost & Britz, Wolfgang & de Vries, Wim, 2017. "Climate change impacts on crop yields, land use and environment in response to crop sowing dates and thermal time requirements," Agricultural Systems, Elsevier, vol. 157(C), pages 81-92.
  33. Bao, Yawen & Hoogenboom, Gerrit & McClendon, Ron & Vellidis, George, 2017. "A comparison of the performance of the CSM-CERES-Maize and EPIC models using maize variety trial data," Agricultural Systems, Elsevier, vol. 150(C), pages 109-119.
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