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Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions

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  1. Dutta, S. K & Laing, Alison M. & Kumar, S. & Gathala, Mahesh K. & Singh, Ajoy K. & Gaydon, D.S. & Poulton, P., 2020. "Improved water management practices improve cropping system profitability and smallholder farmers’ incomes," Agricultural Water Management, Elsevier, vol. 242(C).
  2. Belder, P. & Bouman, B. A.M. & Spiertz, J.H.J., 2007. "Exploring options for water savings in lowland rice using a modelling approach," Agricultural Systems, Elsevier, vol. 92(1-3), pages 91-114, January.
  3. Movedi, Ermes & Valiante, Daniele & Colosio, Alessandro & Corengia, Luca & Cossa, Stefano & Confalonieri, Roberto, 2022. "A new approach for modeling crop-weed interaction targeting management support in operational contexts: A case study on the rice weeds barnyardgrass and red rice," Ecological Modelling, Elsevier, vol. 463(C).
  4. Jing, Qi & Keulen, Herman van & Hengsdijk, Huib, 2010. "Modeling biomass, nitrogen and water dynamics in rice-wheat rotations," Agricultural Systems, Elsevier, vol. 103(7), pages 433-443, September.
  5. Confalonieri, R. & Bregaglio, S. & Acutis, M., 2010. "A proposal of an indicator for quantifying model robustness based on the relationship between variability of errors and of explored conditions," Ecological Modelling, Elsevier, vol. 221(6), pages 960-964.
  6. Yu, Qianan & Cui, Yuanlai, 2022. "Improvement and testing of ORYZA model water balance modules for alternate wetting and drying irrigation," Agricultural Water Management, Elsevier, vol. 271(C).
  7. Ke Zhang & Xue Wang & Xiaoling Wang & Syed Tahir Ata-Ul-Karim & Yongchao Tian & Yan Zhu & Weixing Cao & Xiaojun Liu, 2020. "Does the Organ-Based N Dilution Curve Improve the Predictions of N Status in Winter Wheat?," Agriculture, MDPI, vol. 10(11), pages 1-19, October.
  8. Feng, Liping & Bouman, B. A.M. & Tuong, T.P. & Cabangon, R.J. & Li, Yalong & Lu, Guoan & Feng, Yuehua, 2007. "Exploring options to grow rice using less water in northern China using a modelling approach: I. Field experiments and model evaluation," Agricultural Water Management, Elsevier, vol. 88(1-3), pages 1-13, March.
  9. Jing, Qi & Bouman, Bas & van Keulen, Herman & Hengsdijk, Huib & Cao, Weixing & Dai, Tingbo, 2008. "Disentangling the effect of environmental factors on yield and nitrogen uptake of irrigated rice in Asia," Agricultural Systems, Elsevier, vol. 98(3), pages 177-188, October.
  10. Guo, Erjing & Yang, Xiaoguang & Li, Tao & Zhang, Tianyi & Wilson, Lloyed Ted & Wang, Xiaoyu & Zheng, Dongxiao & Yang, Yubin, 2021. "Does ENSO strongly affect rice yield and water application in Northeast China?," Agricultural Water Management, Elsevier, vol. 245(C).
  11. Confalonieri, Roberto & Bregaglio, Simone & Acutis, Marco, 2016. "Quantifying uncertainty in crop model predictions due to the uncertainty in the observations used for calibration," Ecological Modelling, Elsevier, vol. 328(C), pages 72-77.
  12. Antonopoulos, Vassilis Z., 2010. "Modelling of water and nitrogen balances in the ponded water and soil profile of rice fields in Northern Greece," Agricultural Water Management, Elsevier, vol. 98(2), pages 321-330, December.
  13. Ling, Xiaoxia & Deng, Nanyan & Xiong, Dongliang & Yuan, Shen & Peng, Shaobing & Li, Tao & Huang, Jianliang, 2023. "Effect of variation in the observations on the prediction uncertainty in crop model simulation: Use ORYZA (v3) as a case study," Ecological Modelling, Elsevier, vol. 476(C).
  14. Amarasingha, R.P.R.K. & Suriyagoda, L.D.B. & Marambe, B. & Gaydon, D.S. & Galagedara, L.W. & Punyawardena, R. & Silva, G.L.L.P. & Nidumolu, U. & Howden, M., 2015. "Simulation of crop and water productivity for rice (Oryza sativa L.) using APSIM under diverse agro-climatic conditions and water management techniques in Sri Lanka," Agricultural Water Management, Elsevier, vol. 160(C), pages 132-143.
  15. Boling, A.A. & Bouman, B. A.M. & Tuong, T.P. & Murty, M.V.R. & Jatmiko, S.Y., 2007. "Modelling the effect of groundwater depth on yield-increasing interventions in rainfed lowland rice in Central Java, Indonesia," Agricultural Systems, Elsevier, vol. 92(1-3), pages 115-139, January.
  16. Wang, Weiguang & Yu, Zhongbo & Zhang, Wei & Shao, Quanxi & Zhang, Yiwei & Luo, Yufeng & Jiao, Xiyun & Xu, Junzeng, 2014. "Responses of rice yield, irrigation water requirement and water use efficiency to climate change in China: Historical simulation and future projections," Agricultural Water Management, Elsevier, vol. 146(C), pages 249-261.
  17. Grotelüschen, Kristina & Gaydon, Donald S. & Langensiepen, Matthias & Ziegler, Susanne & Kwesiga, Julius & Senthilkumar, Kalimuthu & Whitbread, Anthony M. & Becker, Mathias, 2021. "Assessing the effects of management and hydro-edaphic conditions on rice in contrasting East African wetlands using experimental and modelling approaches," Agricultural Water Management, Elsevier, vol. 258(C).
  18. Naveen-Gupta, & Eberbach, P.L. & Humphreys, E. & Balwinder-Singh, & Sudhir-Yadav, & Kukal, S.S., 2019. "Estimating soil evaporation in dry seeded rice and wheat crops after wetting events," Agricultural Water Management, Elsevier, vol. 217(C), pages 98-106.
  19. Kumar, Manoj & Kalra, Naveen & Khaiter, Peter & Ravindranath, N.H. & Singh, Varsha & Singh, Hukum & Sharma, Subrat & Rahnamayan, Shahryar, 2019. "PhenoPine: A simulation model to trace the phenological changes in Pinus roxhburghii in response to ambient temperature rise," Ecological Modelling, Elsevier, vol. 404(C), pages 12-20.
  20. Tian, Zhan & Zhong, Honglin & Sun, Laixiang & Fischer, Günther & van Velthuizen, Harrij & Liang, Zhuoran, 2014. "Improving performance of Agro-Ecological Zone (AEZ) modeling by cross-scale model coupling: An application to japonica rice production in Northeast China," Ecological Modelling, Elsevier, vol. 290(C), pages 155-164.
  21. Jing, Qi & Bélanger, Gilles & Baron, Vern & Bonesmo, Helge & Virkajärvi, Perttu & Young, David, 2012. "Regrowth simulation of the perennial grass timothy," Ecological Modelling, Elsevier, vol. 232(C), pages 64-77.
  22. Boling, A.A. & Tuong, T.P. & van Keulen, H. & Bouman, B.A.M. & Suganda, H. & Spiertz, J.H.J., 2010. "Yield gap of rainfed rice in farmers' fields in Central Java, Indonesia," Agricultural Systems, Elsevier, vol. 103(5), pages 307-315, June.
  23. Viet-Ngu Hoang, 2011. "Analysis of Productive Performance of Crop and Animal Production Systems: An Integrated Analytical Framework," School of Economics and Finance Discussion Papers and Working Papers Series 268, School of Economics and Finance, Queensland University of Technology.
  24. Shibu, M.E. & Van Keulen, H. & Leffelaar, P.A., 2012. "Long-term dynamics of soil C and N in intensive rice-based cropping systems of the Indo-Gangetic Plains (IGP): A modelling approach," Ecological Modelling, Elsevier, vol. 232(C), pages 40-63.
  25. Sojib Ahmed, M. & Rezwan Khan, M. & Haque, Anisul & Ryyan Khan, M., 2022. "Agrivoltaics analysis in a techno-economic framework: Understanding why agrivoltaics on rice will always be profitable," Applied Energy, Elsevier, vol. 323(C).
  26. Borgia, Cecilia & García-Bolaños, Mariana & Li, Tao & Gómez-Macpherson, Helena & Comas, Jordi & Connor, David & Mateos, Luciano, 2013. "Benchmarking for performance assessment of small and large irrigation schemes along the Senegal Valley in Mauritania," Agricultural Water Management, Elsevier, vol. 121(C), pages 19-26.
  27. Hochman, Zvi & Horan, Heidi & Reddy, D. Raji & Sreenivas, G. & Tallapragada, Chiranjeevi & Adusumilli, Ravindra & Gaydon, Donald S. & Laing, Alison & Kokic, Philip & Singh, Kamalesh K. & Roth, Christi, 2017. "Smallholder farmers managing climate risk in India: 2. Is it climate-smart?," Agricultural Systems, Elsevier, vol. 151(C), pages 61-72.
  28. Hayashi, Keiichi & Llorca, Lizzida & Rustini, Sri & Setyanto, Prihasto & Zaini, Zulkifli, 2018. "Reducing vulnerability of rainfed agriculture through seasonal climate predictions: A case study on the rainfed rice production in Southeast Asia," Agricultural Systems, Elsevier, vol. 162(C), pages 66-76.
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