Are water footprints accurate enough to be useful? A case study for maize (Zea mays L.)
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DOI: 10.1016/j.agwat.2018.10.026
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References listed on IDEAS
- S. Sun & P. Wu & Y. Wang & X. Zhao, 2013. "Temporal Variability of Water Footprint for Maize Production: The Case of Beijing from 1978 to 2008," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2447-2463, May.
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- Mabhaudhi, Tafadzwanashe & Dirwai, Tinashe Lindel & Taguta, Cuthbert & Sikka, Alok & Lautze, Jonathan, 2023. "Mapping Decision Support Tools (DSTs) on agricultural water productivity: A global systematic scoping review," Agricultural Water Management, Elsevier, vol. 290(C).
- Tomaz, Alexandra & Palma, José Ferro & Ramos, Tiago & Costa, Maria Natividade & Rosa, Elizabete & Santos, Marta & Boteta, Luís & Dôres, José & Patanita, Manuel, 2021. "Yield, technological quality and water footprints of wheat under Mediterranean climate conditions: A field experiment to evaluate the effects of irrigation and nitrogen fertilization strategies," Agricultural Water Management, Elsevier, vol. 258(C).
- Zheng, Jing & Fan, Junliang & Zhang, Fucang & Wu, Lifeng & Zou, Yufeng & Zhuang, Qianlai, 2021. "Estimation of rainfed maize transpiration under various mulching methods using modified Jarvis-Stewart model and hybrid support vector machine model with whale optimization algorithm," Agricultural Water Management, Elsevier, vol. 249(C).
- Wang, Linlin & Li, Lingling & Xie, Junhong & Luo, Zhuzhu & Sumera, Anwar & Zechariah, Effah & Fudjoe, Setor Kwami & Palta, Jairo A. & Chen, Yinglong, 2022. "Does plastic mulching reduce water footprint in field crops in China? A meta-analysis," Agricultural Water Management, Elsevier, vol. 260(C).
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Keywords
Crop modelling; Eddy covariance; CROPWAT; Remote sensing; SEBAL;All these keywords.
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