Performance of a wheat yield prediction model and factors influencing the performance: A review and meta-analysis
Shirui Hao,
Dongryeol Ryu,
Andrew Western,
Eileen Perry,
Heye Bogena and
Harrie Jan Hendricks Franssen
Agricultural Systems, 2021, vol. 194, issue C
Abstract:
Process-based crop models provide ways to predict crop growth, evaluate environmental impacts on crops, test various crop management options, and guide crop breeding. They can be used to explore options for mitigating climate change impacts when combined with climate projections and explore mitigation of environmental impacts of production. The Agricultural Production Systems SIMulator (APSIM) is a widely adopted crop model that offers modules for simulation of various crops, soil processes, climate, and grazing within a modelling system that enables robust addition of new components.
Keywords: Cropping system; APSIM classic; Wheat; Yield prediction performance; meta-analysis; Literature review (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0308521X21002316
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:194:y:2021:i:c:s0308521x21002316
DOI: 10.1016/j.agsy.2021.103278
Access Statistics for this article
Agricultural Systems is currently edited by J.W. Hansen, P.K. Thornton and P.B.M. Berentsen
More articles in Agricultural Systems from Elsevier
Bibliographic data for series maintained by Catherine Liu ().