Bivariate analysis reveals the spatial-temporal trends of maize yield losses from diseases across China's agroecological regions over two decades

  • Fang OUYANG
  • , Wei LI
  • , Xiaoling TAN
  • , Shuhui LIU
  • , Amber SCILIGO
  • , Ping MA
  • , Zhishu XIAO
  • , Yongsheng ZHANG
  • , Hongying CUI

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

Maize yield is critically endangered by diseases throughout its growth cycle, posing significant risks to food security. The spatial and temporal dynamics of maize yield loss and the rate of yield loss attributable to these threats on a regional scale have been challenging to ascertain due to scarce continuous observation data. This study compiled county-level data on maize yield and yield loss across China's six primary cropping regions over twenty years from 1999 to 2018. These include the Spring-sown area of Northern China (1-NC), the Summer-sown Huang-Huai-Hai Plain (2-HHP), the Southwest Mountain (3-SM), the Southern Hilly (4-SH), the Northwest Irrigated (5-NI), and the Qinghai-Tibet Plateau Maize Regions (6-QTP). We identified 15 major diseases affecting these regions. The annual average yield loss due to maize diseases in the regions 1-NC, 2-HHP, 3-SM, 4-SH, 5-NI, and 6-QTP were 0.40, 0.58, 0.12, 0.05, 0.04 and 
Original languageEnglish
Pages (from-to)380-388
Number of pages9
JournalEcological Frontiers
Volume46
Issue number1
Early online date19 Nov 2025
DOIs
Publication statusE-pub ahead of print - 19 Nov 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2025 Ecological Society of China.

Funding

This research is supported by the National Key Research and Development Program of China, China (2022YFF1301801); Agricultural scientific and technological innovation project of Shandong Academy of Agricultural Sciences, China (333 Project) (06202214442066); Beijing Natural Science Foundation, China (5232018); Technology Innovation Project of Shandong Academy of Agricultural Sciences, China (06202214442062).

Keywords

  • Maize
  • Disease
  • Yield loss
  • Yield loss rate
  • Bivariate trend

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