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Regional Climate–Yield Relationship for Winter Oilseed Rape in Jiangsu Province, Southeast China

  • Jin Huang
  • Limin Zhou
  • Fangmin Zhang
  • Zhenghua HuEmail author
  • Yin LiEmail author
Research
  • 5 Downloads

Abstract

The responds of oilseed rape yield to climate changes was not reported in China, and the climate–yield statistical relationship for winter oilseed rape constructed in Jiangsu province, southeast China should be a valuable attempt. With using climate and yield data at 52 stations in Jiangsu during 1961–2012, the main findings in this study were as follows: (1) correlation analysis between oilseed rape yield and seasonal climate variables indicated that average temperature difference (TD), total rainfalls (RF), total rainy days (RD), total sunshine hours (SH), and average relative humidity (RH) in spring were the key agro-meteorological indicators significantly affecting yield; (2) according to the principal component analysis on the five selected indicators in all stations, this province was classified as four climactic sub-regions for oilseed rape production: north, central-north, central-south, and south Jiangsu, respectively; (3) the significant responses of oilseed rape yield to spring climate variability were detected in central-south and south Jiangsu, and the strong decreasing trends of RF, RD, and RH during study periods in this region had increased yield by up to 0.68%, 1.44%, and 5.68%, respectively; (4) spring RD in the central-south and south Jiangsu was screened as the leading indicator for oilseed rape, and it showed a significant decrease after 1985.

Keywords

Climate–yield relationship Winter oilseed rape China Jiangsu 

Notes

Acknowledgements

This paper is mainly supported by Jiangsu Province Science Fund for Excellent Young Scholars (BK20170102), China Special Fund for Meteorological Research in the Public Interest (Major projects) (GYHY201506001-6), Open Fund of Jiangsu Key Laboratory of Agricultural Meteorology/Nanjing University of Information Science & Technology (JKLAM1603, JKLAM1604), National Natural Science Foundation of China (41775151).

Compliance with Ethical Standards

Conflict of interest

The authors declared that they have no conflict of interest.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Jiangsu Key Laboratory of Agricultural Meteorology, School of Applied MeteorologyNanjing University of Information Science & TechnologyNanjingChina
  2. 2.Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET)Nanjing University of Information Science & TechnologyNanjingChina
  3. 3.China Meteorological Administration/Henan Key Laboratory of Agrometeorological Support and Applied TechniqueHenan Institute of Meteorological SciencesZhengzhouChina

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