IDEAS home Printed from https://ideas.repec.org/r/eee/agiwat/v13y1988i1p25-32.html
   My bibliography  Save this item

A simple dated water-production function for use in irrigated agriculture

Citations

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


Cited by:

  1. Azaiez, M. N. & Hariga, M., 2001. "A single-period model for conjunctive use of ground and surface water under severe overdrafts and water deficit," European Journal of Operational Research, Elsevier, vol. 133(3), pages 653-666, September.
  2. Wang, Yufeng & Kang, Shaozhong & Li, Fusheng & Zhang, Xiaotao, 2021. "Modified water-nitrogen productivity function based on response of water sensitive index to nitrogen for hybrid maize under drip fertigation," Agricultural Water Management, Elsevier, vol. 245(C).
  3. 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.
  4. Chen, Jinliang & Kang, Shaozhong & Du, Taisheng & Guo, Ping & Qiu, Rangjian & Chen, Renqiang & Gu, Feng, 2014. "Modeling relations of tomato yield and fruit quality with water deficit at different growth stages under greenhouse condition," Agricultural Water Management, Elsevier, vol. 146(C), pages 131-148.
  5. Juan, J. A. de & Tarjuelo, J. M. & Valiente, M. & Garcia, P., 1996. "Model for optimal cropping patterns within the farm based on crop water production functions and irrigation uniformity I: Development of a decision model," Agricultural Water Management, Elsevier, vol. 31(1-2), pages 115-143, June.
  6. Chen, Shichao & Liu, Wenfeng & Morel, Julien & Parsons, David & Du, Taisheng, 2023. "Improving yield, quality, and environmental co-benefits through optimized irrigation and nitrogen management of hybrid maize in Northwest China," Agricultural Water Management, Elsevier, vol. 290(C).
  7. Anbari, Mohammad Javad & Zarghami, Mahdi & Nadiri, Ata-Allah, 2021. "An uncertain agent-based model for socio-ecological simulation of groundwater use in irrigation: A case study of Lake Urmia Basin, Iran," Agricultural Water Management, Elsevier, vol. 249(C).
  8. Baoying Shan & Ping Guo & Shanshan Guo & Zhong Li, 2019. "A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to Water," Sustainability, MDPI, vol. 11(7), pages 1-21, April.
  9. Tran, Lap Doc & Schilizzi, Steven & Chalak, Morteza & Kingwell, Ross, 2011. "Optimizing competitive uses of water for irrigation and fisheries," Agricultural Water Management, Elsevier, vol. 101(1), pages 42-51.
  10. Jain, L. L. & Panda, R. K. & Sharma, C. P., 1997. "Water stress response function for groundnut (Arachis hypogaea L.)," Agricultural Water Management, Elsevier, vol. 32(2), pages 197-209, February.
  11. Foster, T. & Brozović, N., 2018. "Simulating Crop-Water Production Functions Using Crop Growth Models to Support Water Policy Assessments," Ecological Economics, Elsevier, vol. 152(C), pages 9-21.
  12. Shi, Rongchao & Wang, Jintao & Tong, Ling & Du, Taisheng & Shukla, Manoj Kumar & Jiang, Xuelian & Li, Donghao & Qin, Yonghui & He, Liuyue & Bai, Xiaorui & Guo, Xiaoxu, 2022. "Optimizing planting density and irrigation depth of hybrid maize seed production under limited water availability," Agricultural Water Management, Elsevier, vol. 271(C).
  13. Schwartz, Robert C. & Domínguez, Alfonso & Pardo, José J. & Colaizzi, Paul D. & Baumhardt, R. Louis & Bell, Jourdan M., 2020. "A crop coefficient –based water use model with non-uniform root distribution," Agricultural Water Management, Elsevier, vol. 228(C).
  14. Leite, K.N. & Martínez-Romero, A. & Tarjuelo, J.M. & Domínguez, A., 2015. "Distribution of limited irrigation water based on optimized regulated deficit irrigation and typical metheorological year concepts," Agricultural Water Management, Elsevier, vol. 148(C), pages 164-176.
  15. Garg, N.K. & Dadhich, Sushmita M., 2014. "A proposed method to determine yield response factors of different crops under deficit irrigation using inverse formulation approach," Agricultural Water Management, Elsevier, vol. 137(C), pages 68-74.
  16. Ghazali, Mahboubeh & Honar, Tooraj & Nikoo, Mohammad Reza, 2018. "A hybrid TOPSIS-agent-based framework for reducing the water demand requested by stakeholders with considering the agents’ characteristics and optimization of cropping pattern," Agricultural Water Management, Elsevier, vol. 199(C), pages 71-85.
  17. Domínguez, Alfonso & Schwartz, Robert C. & Pardo, José J. & Guerrero, Bridget & Bell, Jourdan M. & Colaizzi, Paul D. & Louis Baumhardt, R., 2022. "Center pivot irrigation capacity effects on maize yield and profitability in the Texas High Plains," Agricultural Water Management, Elsevier, vol. 261(C).
  18. Chen, Fei & Cui, Ningbo & Jiang, Shouzheng & Wang, Zhihui & Li, Hongping & Lv, Min & Wang, Yaosheng & Gong, Daozhi & Zhao, Lu, 2023. "Multi-objective deficit drip irrigation optimization of citrus yield, fruit quality and water use efficiency using NSGA-II in seasonal arid area of Southwest China," Agricultural Water Management, Elsevier, vol. 287(C).
  19. Shi, Rongchao & Tong, Ling & Ding, Risheng & Du, Taisheng & Shukla, Manoj Kumar, 2021. "Modeling kernel weight of hybrid maize seed production with different water regimes," Agricultural Water Management, Elsevier, vol. 250(C).
  20. Hamed Poorsepahy-Samian & Reza Kerachian & Mohammad Nikoo, 2012. "Water and Pollution Discharge Permit Allocation to Agricultural Zones: Application of Game Theory and Min-Max Regret Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(14), pages 4241-4257, November.
  21. Al-Riffai, Perrihan & Breisinger, Clemens & Mondal, Md. Hossain Alam & Ringler, Claudia & Wiebelt, Manfred & Zhu, Tingju, 2017. "Linking the economics of water, energy, and food: A nexus modeling approach," MENA working papers 4, International Food Policy Research Institute (IFPRI).
  22. Hajilal, M. S. & Rao, N. H. & Sarma, P. B. S., 1998. "Real time operation of reservoir based canal irrigation systems," Agricultural Water Management, Elsevier, vol. 38(2), pages 103-122, December.
  23. Madende, Primrose & Grové, Bennie, 2019. "Risk efficiency of optimal water allocation within a single- and multi-stage decision-making framework," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 59(01), August.
  24. Azaiez, M. N., 2002. "A model for conjunctive use of ground and surface water with opportunity costs," European Journal of Operational Research, Elsevier, vol. 143(3), pages 611-624, December.
  25. Robinson, Sherman & Mason-D’Croz, Daniel & Islam, Shahnila & Sulser, Timothy B. & Robertson, Richard D. & Zhu, Tingju & Gueneau, Arthur & Pitois, Gauthier & Rosegrant, Mark W., 2015. "The International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT): Model description for version 3," IFPRI discussion papers 1483, International Food Policy Research Institute (IFPRI).
  26. Zhou, Huiping & Chen, Jinliang & Wang, Feng & Li, Xiaojuan & Génard, Michel & Kang, Shaozhong, 2020. "An integrated irrigation strategy for water-saving and quality-improving of cash crops: Theory and practice in China," Agricultural Water Management, Elsevier, vol. 241(C).
  27. Mandal, Uttam Kumar & Victor, U.S. & Srivastava, N.N. & Sharma, K.L. & Ramesh, V. & Vanaja, M. & Korwar, G.R. & Ramakrishna, Y.S., 2007. "Estimating yield of sorghum using root zone water balance model and spectral characteristics of crop in a dryland Alfisol," Agricultural Water Management, Elsevier, vol. 87(3), pages 315-327, February.
  28. Fan, Xiangyu & Schütze, Niels, 2024. "Assessing crop yield and water balance in crop rotation irrigation systems: Exploring sensitivity to soil hydraulic characteristics and initial moisture conditions in the North China Plain," Agricultural Water Management, Elsevier, vol. 300(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.