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Response of wheat growth, grain yield and water use to elevated CO2 under a Free-Air CO2 Enrichment (FACE) experiment and modelling in a semi-arid environment

, , , , , , , , , , , , and . GLOBAL CHANGE BIOLOGY, (July 2015)
DOI: \%7B10.1111/gcb.12830\%7D

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Response of wheat growth, grain yield and water use to elevated CO2 under a Free-Air CO2 Enrichment (FACE) experiment and modelling in a semi-arid environment, , , , , , , , , and 3 other author(s). GLOBAL CHANGE BIOLOGY, (July 2015)Response of wheat growth, grain yield and water use to elevated CO 2 under a Free-Air CO 2 Enrichment (FACE) experiment and modelling in a semi-arid environment, , , , , , , , , and 3 other author(s). Global Change Biology, 21 (7): 2670--2686 (Jul 1, 2015)How model and input uncertainty impact maize yield simulations in West Africa, , , and . Environmental Research Letters, 10 (2): 024017+ (Feb 1, 2015)Response of wheat growth, grain yield and water use to elevated CO2under a Free-Air CO2Enrichment (FACE) experiment and modelling in a semi-arid environment, , , , , , , , , and 3 other author(s). Global Change Biology, 21 (7): 2670--2686 (February 2015)Plant Modelling Framework: Software for building and running crop models on the APSIM platform., , , , , , and . Environ. Model. Softw., (2014)Development of an oil palm cropping systems model: Lessons learned and future directions., , , and . Environ. Model. Softw., (2014)Modelling the manager: Representing rule-based management in farming systems simulation models., , , , , , , and . Environ. Model. Softw., (2014)Simplifying environmental model reuse., , and . Environ. Model. Softw., 25 (2): 269-275 (2010)Comparison of machine learning methods emulating process driven crop models., , , and . Environ. Model. Softw., (April 2023)SciHarvester: Searching Scientific Documents for Numerical Values., , , , , , , and . SIGIR, page 3135-3139. ACM, (2023)