ORYZA2000: modeling lowland rice
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DOI: 10.22004/ag.econ.281825
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- Stella, Tommaso & Bregaglio, Simone & Confalonieri, Roberto, 2016. "A model to simulate the dynamics of carbohydrate remobilization during rice grain filling," Ecological Modelling, Elsevier, vol. 320(C), pages 366-371.
- 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.
- Timsina, Jagadish & Dutta, Sudarshan & Devkota, Krishna Prasad & Chakraborty, Somsubhra & Neupane, Ram Krishna & Bishta, Sudarshan & Amgain, Lal Prasad & Singh, Vinod K. & Islam, Saiful & Majumdar, Ka, 2021. "Improved nutrient management in cereals using Nutrient Expert and machine learning tools: Productivity, profitability and nutrient use efficiency," Agricultural Systems, Elsevier, vol. 192(C).
- Bouman, B.A.M. & Peng, S. & Castaneda, A.R. & Visperas, R.M., 2005. "Yield and water use of irrigated tropical aerobic rice systems," Agricultural Water Management, Elsevier, vol. 74(2), pages 87-105, June.
- Confidence Duku & Adam H. Sparks & Sander J. Zwart, 2016. "Spatial modelling of rice yield losses in Tanzania due to bacterial leaf blight and leaf blast in a changing climate," Climatic Change, Springer, vol. 135(3), pages 569-583, April.
- Zuidema, Pieter A. & Leffelaar, Peter A. & Gerritsma, Wouter & Mommer, Liesje & Anten, Niels P.R., 2005. "A physiological production model for cocoa (Theobroma cacao): model presentation, validation and application," Agricultural Systems, Elsevier, vol. 84(2), pages 195-225, May.
- Sasai, Takahiro & Nakai, Saori & Setoyama, Yuko & Ono, Keisuke & Kato, Soushi & Mano, Masayoshi & Murakami, Kazutaka & Miyata, Akira & Saigusa, Nobuko & Nemani, Ramakrishna R. & Nasahara, Kenlo N., 2012. "Analysis of the spatial variation in the net ecosystem production of rice paddy fields using the diagnostic biosphere model, BEAMS," Ecological Modelling, Elsevier, vol. 247(C), pages 175-189.
- Silva, João Vasco & Pede, Valerien O. & Radanielson, Ando M. & Kodama, Wataru & Duarte, Ary & de Guia, Annalyn H. & Malabayabas, Arelene Julia B. & Pustika, Arlyna Budi & Argosubekti, Nuning & Vithoon, 2022. "Revisiting yield gaps and the scope for sustainable intensification for irrigated lowland rice in Southeast Asia," Agricultural Systems, Elsevier, vol. 198(C).
- Timsina, J. & Wolf, J. & Guilpart, N. & van Bussel, L.G.J. & Grassini, P. & van Wart, J. & Hossain, A. & Rashid, H. & Islam, S. & van Ittersum, M.K., 2018. "Can Bangladesh produce enough cereals to meet future demand?," Agricultural Systems, Elsevier, vol. 163(C), pages 36-44.
- 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.
- Gao, Ya & Xu, Xu & Sun, Chen & Ding, Shibo & Huo, Zailin & Huang, Guanhua, 2021. "Parameterization and modeling of paddy rice (Oryza sativa L. ssp. japonica) growth and water use in cold regions: Yield and water-saving analysis," Agricultural Water Management, Elsevier, vol. 250(C).
- Jones, M.R. & Singels, A., 2015. "Analysing yield trends in the South African sugar industry," Agricultural Systems, Elsevier, vol. 141(C), pages 24-35.
- Blango, Mohamed M. & Cooke, Richard A.C. & Moiwo, Juana P., 2019. "Effect of soil and water management practices on crop productivity in tropical inland valley swamps," Agricultural Water Management, Elsevier, vol. 222(C), pages 82-91.
- Miltiadis Iatrou & Christos Karydas & George Iatrou & Ioannis Pitsiorlas & Vassilis Aschonitis & Iason Raptis & Stelios Mpetas & Kostas Kravvas & Spiros Mourelatos, 2021. "Topdressing Nitrogen Demand Prediction in Rice Crop Using Machine Learning Systems," Agriculture, MDPI, vol. 11(4), pages 1-17, April.
- Tao Li & Olivyn Angeles & Ando Radanielson & Manuel Marcaida & Emmali Manalo, 2015. "Drought stress impacts of climate change on rainfed rice in South Asia," Climatic Change, Springer, vol. 133(4), pages 709-720, December.
- Gao, Ya & Sun, Chen & Ramos, Tiago B. & Huo, Zailin & Huang, Guanhua & Xu, Xu, 2023. "Modeling nitrogen dynamics and biomass production in rice paddy fields of cold regions with the ORYZA-N model," Ecological Modelling, Elsevier, vol. 475(C).
- Li, Yan & Zhou, Qingguo & Zhou, Jian & Zhang, Gaofeng & Chen, Chong & Wang, Jing, 2014. "Assimilating remote sensing information into a coupled hydrology-crop growth model to estimate regional maize yield in arid regions," Ecological Modelling, Elsevier, vol. 291(C), pages 15-27.
- 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.
- Timsina, J. & Buresh, R.J. & Dobermann, A. & Dixon, J. (ed.), 2011. "Rice-maize systems in Asia: current situation and potential," IRRI Books, International Rice Research Institute (IRRI), number 164490.
- 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.
- Ding, Yimin & Wang, Weiguang & Zhuang, Qianlai & Luo, Yufeng, 2020. "Adaptation of paddy rice in China to climate change: The effects of shifting sowing date on yield and irrigation water requirement," Agricultural Water Management, Elsevier, vol. 228(C).
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Research and Development/Tech Change/Emerging Technologies;Statistics
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