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Improving rice development and phenology prediction across contrasting climate zones of China
Zhang, Shuai1; Tao, Fulu1,2,3
2019-04-15
Source PublicationAGRICULTURAL AND FOREST METEOROLOGY
ISSN0168-1923
Volume268Pages:224-233
Corresponding AuthorTao, Fulu(taofl@igsnrr.ac.cn)
AbstractModelling rice development rate and phenology is crucial for robust yield prediction. However significant uncertainties originating from the temperature response functions in rice models exist. In this study, both the Wang-Engel temperature response function and the Johnson temperature response function were coupled in the MCWLA-Rice model and evaluated at 10 agro-meteorological experiment stations located in contrasting climate zones across China. Results show that the MCWLA-Rice model with the Wang-Engel temperature response function is able to improve the predictions of heading and maturity date for double season rice at the stations in the middle and lower reaches of the Yangtze River. Mean improvements were 23.5% and 25.1%, respectively. The MCWLA-Rice model with the Johnson temperature response function is able to improve the predictions of heading date by 26.2% and maturity date by 22.9% on average at all stations. At the locations characterised by high temperature stress conditions, both the Wang-Engel and the Johnson temperature response functions are able to improve predictions of heading and maturity date, nevertheless the improvement is not as pronounced as for those locations not suffered from high temperature stress. These results demonstrate how rice phenology simulation can be improved, yet suggest that further improvements should be made to reproduce phenology in locations suffering from heat stress. This study highlights the value of environment-controlled experiments on the effects of exceeding threshold temperatures from several hours to several days on instantaneous crop development rate and improving crop phenology simulations.
KeywordRice model Extreme temperature Rice development rate Uncertainty Crop model improvement
DOI10.1016/j.agrformet.2019.01.019
WOS KeywordINDUCED SPIKELET STERILITY ; HIGH-TEMPERATURE STRESS ; TASSEL INITIATION ; MODEL STRUCTURE ; SPRING WHEAT ; RESPONSES ; UNCERTAINTIES ; PRODUCTIVITY ; IMPACTS ; GROWTH
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2016YFD0300201] ; National Science Foundation of China[41801078] ; National Science Foundation of China[31561143003] ; National Science Foundation of China[41571088]
Funding OrganizationNational Key R&D Program of China ; National Science Foundation of China
WOS Research AreaAgriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS SubjectAgronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS IDWOS:000460844700023
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49154
Collection中国科学院地理科学与资源研究所
Corresponding AuthorTao, Fulu
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Nat Resources Inst Finland Luke, FI-00790 Helsinki, Finland
Recommended Citation
GB/T 7714
Zhang, Shuai,Tao, Fulu. Improving rice development and phenology prediction across contrasting climate zones of China[J]. AGRICULTURAL AND FOREST METEOROLOGY,2019,268:224-233.
APA Zhang, Shuai,&Tao, Fulu.(2019).Improving rice development and phenology prediction across contrasting climate zones of China.AGRICULTURAL AND FOREST METEOROLOGY,268,224-233.
MLA Zhang, Shuai,et al."Improving rice development and phenology prediction across contrasting climate zones of China".AGRICULTURAL AND FOREST METEOROLOGY 268(2019):224-233.
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