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

doi:10.1016/j.ecofro.2025.11.003

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 Publications › Journal Article (refereed) › peer-review

1 Citation (Scopus)

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 language	English
Pages (from-to)	380-388
Number of pages	9
Journal	Ecological Frontiers
Volume	46
Issue number	1
Early online date	19 Nov 2025
DOIs	https://doi.org/10.1016/j.ecofro.2025.11.003
Publication status	Published - Feb 2026
Externally published	Yes

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).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger

Keywords

Maize
Disease
Yield loss
Yield loss rate
Bivariate trend

Access to Document

10.1016/j.ecofro.2025.11.003

Cite this

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

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 ",

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author = "Fang OUYANG and Wei LI and Xiaoling TAN and Shuhui LIU and Amber SCILIGO and Ping MA and Zhishu XIAO and Yongsheng ZHANG and Hongying CUI",

note = "Publisher Copyright: {\textcopyright} 2025 Ecological Society of China.",

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doi = "10.1016/j.ecofro.2025.11.003",

language = "English",

volume = "46",

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AU - OUYANG, Fang

AU - LI, Wei

AU - TAN, Xiaoling

AU - LIU, Shuhui

AU - SCILIGO, Amber

AU - MA, Ping

AU - XIAO, Zhishu

AU - ZHANG, Yongsheng

AU - CUI, Hongying

PY - 2026/2

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N2 - 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

AB - 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

KW - Maize

KW - Disease

KW - Yield loss

KW - Yield loss rate

KW - Bivariate trend

UR - https://www.scopus.com/pages/publications/105024898742

U2 - 10.1016/j.ecofro.2025.11.003

DO - 10.1016/j.ecofro.2025.11.003

M3 - Journal Article (refereed)

SN - 2950-5097

VL - 46

SP - 380

EP - 388

JO - Ecological Frontiers

JF - Ecological Frontiers

IS - 1

ER -

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

Abstract

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

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