Modeling yield and biomass responses of maize cultivars to climate change under full and deficit irrigation
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DOI: 10.1016/j.agwat.2016.11.007
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- Leghari, Shah Jahan & Hu, Kelin & Wei, Yichang & Wang, Tongchao & Bhutto, Tofique Ahmed & Buriro, Mahmooda, 2021. "Modelling water consumption, N fates and maize yield under different water-saving management practices in China and Pakistan," Agricultural Water Management, Elsevier, vol. 255(C).
- Allakonon, M. Gloriose B. & Zakari, Sissou & Tovihoudji, Pierre G. & Fatondji, A. Sènami & Akponikpè, P.B. Irénikatché, 2022. "Grain yield, actual evapotranspiration and water productivity responses of maize crop to deficit irrigation: A global meta-analysis," Agricultural Water Management, Elsevier, vol. 270(C).
- Lionel Jordan-Meille & Elsa Martineau & Yoran Bornot & José Lavres & Cassio Hamilton Abreu-Junior & Jean-Christophe Domec, 2018. "How Does Water-Stressed Corn Respond to Potassium Nutrition? A Shoot-Root Scale Approach Study under Controlled Conditions," Agriculture, MDPI, vol. 8(11), pages 1-18, November.
- Zhang, Jing & Zhang, Huihui & Sima, Matthew W. & Trout, Thomas J. & Malone, Rob W. & Wang, Li, 2021. "Simulated deficit irrigation and climate change effects on sunflower production in Eastern Colorado with CSM-CROPGRO-Sunflower in RZWQM2," Agricultural Water Management, Elsevier, vol. 246(C).
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Keywords
Systems modeling; RZWQM; DSSAT; Cultivar traits; Climate adaptation; Crop simulation; Irrigation management; Colorado;All these keywords.
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