Author
Listed:
- Lixia Jiang
(Heilongjiang Province Institute of Meteorological Science, Harbin 150030, China)
- Junjie Han
(Heilongjiang Province Institute of Meteorological Science, Harbin 150030, China)
- Hongtao Cui
(School of Resources and Environment, Northeast Agricultural University, Harbin 150030, China)
- Zheng Chu
(Heilongjiang Province Institute of Meteorological Science, Harbin 150030, China)
- Shuling Li
(Harbin Ecology and Agriculture Meteorological Center, Harbin 150028, China)
- Yining Zhang
(School of Resources and Environment, Northeast Agricultural University, Harbin 150030, China)
- Yanghui Ji
(Heilongjiang Province Institute of Meteorological Science, Harbin 150030, China)
- Qiujing Wang
(Heilongjiang Province Institute of Meteorological Science, Harbin 150030, China)
- Xiufen Li
(Heilongjiang Province Institute of Meteorological Science, Harbin 150030, China)
- Ping Wang
(Heilongjiang Province Institute of Meteorological Science, Harbin 150030, China)
Abstract
This study analyzed temperature and yield data from 34 meteorological stations in Heilongjiang Province during 1961–2020. Four climate averages ( P 1 , P 2 , P 3 , and P 4 ) were determined based on their respective time distributions (1961–1990, 1971–2000, 1981–2010, and 1991–2020). The national standard temperature anomaly index was used to identify delayed chilling damage in rice cultivation compared to these climate averages. Climate tendency rate analysis, Mann–Kendall detection, and linear regression methods were employed to examine the relationship between temperature anomaly and rice yield from May to September. The results showed that there were noticeable differences in recognizing delayed chilling damage across different climate averages from 1961 to 2020. The average duration of chilling damage under P 1 , P 2 , P 3 , and P 4 was, respectively, estimated as 8.5 years, 13.3 years, 21.4 years, and 30.9 years, with severe cold damage accounting for a significant portion (68.2–76.0%) of the total chilling damage period. The occurrence of severe cold damage increased significantly over time while light and moderate cold damage did not show a clear increasing or decreasing trend. Based on the test results, P 3 was found to be the most suitable climate average for identifying delayed chilling damage in rice cultivation from 1961 to 2020. Moreover, the incidence of chilling damage revealed declining trend over time. There was a high incidence of chilling damage in the 1960s and 1970s, followed by a decrease from the 1980s to the mid 1990s, and finally a low-incidence period after the mid-1990s. Spatially, the western regions experienced greater occurrence of chilling damage than the eastern regions. Additionally, there was a highly significant positive correlation ( p < 0.01) between temperature anomalies from May to September and relative meteorological yield of rice. As temperature anomalies decreased during this period, there was an observed downward trend in relative meteorological yield of rice, indicating that delayed cold injury had a negative impact on rice production.
Suggested Citation
Lixia Jiang & Junjie Han & Hongtao Cui & Zheng Chu & Shuling Li & Yining Zhang & Yanghui Ji & Qiujing Wang & Xiufen Li & Ping Wang, 2024.
"Effect of Climate Change on Identification of Delayed Chilling Damage of Rice in China’s Cold Region,"
Agriculture, MDPI, vol. 14(9), pages 1-16, August.
Handle:
RePEc:gam:jagris:v:14:y:2024:i:9:p:1456-:d:1463848
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:14:y:2024:i:9:p:1456-:d:1463848. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.