title: [Effect of climatic mean value change on the evaluation result of rice delayed cold damage in Liaoning Province, Northeast China].
abstract: The anomaly of mean temperature summation from May to September (ΔT5-9) was commonly used to assess delayed cold damage of rice in Northeast China, but whether the change of statistics years for climatic mean value (ΣT5-9) would affect the, evaluation results of Liaoning rice under cold damage needed to be further studied. By using the meteorological industry standard of the People's Republic of China "technical standard on rice cold damage evaluation" (QX/T 182- 2013) and the supplemental indices (ΔT5-9), the index (ΣT5-9) was calculated in four periods 1961-1990 (S1), 1971-2000 (S2), 1981-2010 (S3) and 1961-2010 (S4), and the spatial and temporal changes of cold damage in Liaoning Province were analyzed based on the ratio between cold damage stations and total stations (IOC) and the occurrence frequency. The results showed that the heat condition (Σ T5-9) in rice growing season increased obviously and the spatial and temporal changes were significant from 1961 to 2010. The original meteorological index of rice cold damage was improved by using quadratic polynomial model. The identification results were similar between S2 and S4. The variation coefficient of IOC in S3 was lower than that of the other three. Compared with the typical rice yield reduction years, the evaluation results accorded better with the actual situation in evaluating the rice delayed cold damage in Liaoning during study period by using the S3 climate mean value. The results could provide evidence for accurately evaluating the variation of rice cold damage in spatial and temporal distribution in Liaoning Province under the background of global climate change.
authors.forename: Rui-peng
authors.initials: RP
authors.lastname: Ji
authors.forename: Wen-ying
authors.initials: WY
authors.lastname: Yu
authors.forename: Jin-wen
authors.initials: JW
authors.lastname: Wu
authors.forename: Rui
authors.initials: R
authors.lastname: Feng
authors.forename: Yu-shu
authors.initials: YS
authors.lastname: Zhang
mesh_terms: D002681:China; D057231:Climate Change; D003080:Cold Temperature; D006358:Hot Temperature; D012275:Oryza / Q000502:physiology*; D012621:Seasons