IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v87y2006i3p249-273.html
   My bibliography  Save this article

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

Author

Listed:
  • Bouman, B.A.M.
  • van Laar, H.H.

Abstract

No abstract is available for this item.

Suggested Citation

  • Bouman, B.A.M. & van Laar, H.H., 2006. "Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions," Agricultural Systems, Elsevier, vol. 87(3), pages 249-273, March.
  • Handle: RePEc:eee:agisys:v:87:y:2006:i:3:p:249-273
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(05)00026-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Horie, T. & Yajima, M. & Nakagawa, H., 1992. "Yield forecasting," Agricultural Systems, Elsevier, vol. 40(1-3), pages 211-236.
    2. Mitchell, P. L., 1997. "Misuse of regression for empirical validation of models," Agricultural Systems, Elsevier, vol. 54(3), pages 313-326, July.
    3. Bouman, B. A. M. & van Keulen, H. & van Laar, H. H. & Rabbinge, R., 1996. "The `School of de Wit' crop growth simulation models: A pedigree and historical overview," Agricultural Systems, Elsevier, vol. 52(2-3), pages 171-198.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Pepijn A J van Oort & Michiel E de Vries & Hiroe Yoshida & Kazuki Saito, 2015. "Improved Climate Risk Simulations for Rice in Arid Environments," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-27, March.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alagarswamy, G. & Singh, P. & Hoogenboom, G. & Wani, S. P. & Pathak, P. & Virmani, S. M., 2000. "Evaluation and application of the CROPGRO-Soybean simulation model in a Vertic Inceptisol," Agricultural Systems, Elsevier, vol. 63(1), pages 19-32, January.
    2. Ziaei, A. N. & Sepaskhah, A. R., 2003. "Model for simulation of winter wheat yield under dryland and irrigated conditions," Agricultural Water Management, Elsevier, vol. 58(1), pages 1-17, January.
    3. Adam, M. & Wery, J. & Leffelaar, P.A. & Ewert, F. & Corbeels, M. & Van Keulen, H., 2013. "A systematic approach for re-assembly of crop models: An example to simulate pea growth from wheat growth," Ecological Modelling, Elsevier, vol. 250(C), pages 258-268.
    4. Confalonieri, Roberto & Acutis, Marco & Bellocchi, Gianni & Donatelli, Marcello, 2009. "Multi-metric evaluation of the models WARM, CropSyst, and WOFOST for rice," Ecological Modelling, Elsevier, vol. 220(11), pages 1395-1410.
    5. Raes, Dirk & Geerts, Sam & Kipkorir, Emmanuel & Wellens, Joost & Sahli, Ali, 2006. "Simulation of yield decline as a result of water stress with a robust soil water balance model," Agricultural Water Management, Elsevier, vol. 81(3), pages 335-357, March.
    6. O'Neal, Monte R. & Frankenberger, Jane R. & Ess, Daniel R., 2002. "Use of CERES-Maize to study effect of spatial precipitation variability on yield," Agricultural Systems, Elsevier, vol. 73(2), pages 205-225, August.
    7. Wan, Liqiang & Zhang, Baisen & Kemp, Peter & Li, Xianglin, 2009. "Modelling the abundance of three key plant species in New Zealand hill-pasture using a decision tree approach," Ecological Modelling, Elsevier, vol. 220(15), pages 1819-1825.
    8. Martin Schönhart & Erwin Schmid & Uwe A. Schneider, 2009. "CropRota – A Model to Generate Optimal Crop Rotations from Observed Land Use," Working Papers 452009, Institute for Sustainable Economic Development, Department of Economics and Social Sciences, University of Natural Resources and Life Sciences, Vienna.
    9. Salembier, Chloé & Segrestin, Blanche & Berthet, Elsa & Weil, Benoît & Meynard, Jean-Marc, 2018. "Genealogy of design reasoning in agronomy: Lessons for supporting the design of agricultural systems," Agricultural Systems, Elsevier, vol. 164(C), pages 277-290.
    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. van Ittersum, M. K. & Rabbinge, R. & van Latesteijn, H. C., 1998. "Exploratory land use studies and their role in strategic policy making," Agricultural Systems, Elsevier, vol. 58(3), pages 309-330, November.
    12. Tittonell, P. & van Wijk, M.T. & Herrero, M. & Rufino, M.C. & de Ridder, N. & Giller, K.E., 2009. "Beyond resource constraints - Exploring the biophysical feasibility of options for the intensification of smallholder crop-livestock systems in Vihiga district, Kenya," Agricultural Systems, Elsevier, vol. 101(1-2), pages 1-19, June.
    13. 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.
    14. Qiongfang Li & John Gowing, 2005. "A Daily Water Balance Modelling Approach for Simulating Performance of Tank-Based Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(3), pages 211-231, June.
    15. 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.
    16. Godard, C. & Roger-Estrade, J. & Jayet, P.A. & Brisson, N. & Le Bas, C., 2008. "Use of available information at a European level to construct crop nitrogen response curves for the regions of the EU," Agricultural Systems, Elsevier, vol. 97(1-2), pages 68-82, April.
    17. Vázquez-Montenegro, Ranses José & Durán-Zarabozo, Odil & Baca, Marcio, 2015. "Modelos de impacto en la agricultura teniendo en cuenta los escenarios de la agricultura del cambio climático," Revista Iberoamericana de Bioeconomía y Cambio Climàtico, National Autonomous University of Nicaragua, Leon, vol. 1(1), pages 1-50, July.
    18. Pavlova, Vera N. & Varcheva, Svetlana E. & Bokusheva, Raushan & Calanca, Pierluigi, 2014. "Modelling the effects of climate variability on spring wheat productivity in the steppe zone of Russia and Kazakhstan," Ecological Modelling, Elsevier, vol. 277(C), pages 57-67.
    19. Shrestha, Nirman & Geerts, Sam & Raes, Dirk & Horemans, Stefaan & Soentjens, Sarah & Maupas, Fabienne & Clouet, Philippe, 2010. "Yield response of sugar beets to water stress under Western European conditions," Agricultural Water Management, Elsevier, vol. 97(2), pages 346-350, February.
    20. Thornton, P. K. & Jones, P. G., 1998. "A conceptual approach to dynamic agricultural land-use modelling," Agricultural Systems, Elsevier, vol. 57(4), pages 505-521, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:87:y:2006:i:3:p:249-273. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nithya Sathishkumar). General contact details of provider: http://www.elsevier.com/locate/agsy .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.