Gray Mold in Blueberry: Current Research on Pathogenesis, Host Resistance, and Control Strategies

Gray mold, caused by Botrytis cinerea, poses a significant fungal threat to postharvest blueberries, leading to substantial economic losses and challenging the sustainable development of the blueberry industry. This highlights the urgent necessity for comprehensive research to develop effective and sustainable management solutions. This review offers a systematic overview of gray mold in blueberries, with a particular emphasis on elucidating the pathological mechanisms employed by B. cinerea, including its infection pathways and virulence factors. It examines the resistance mechanisms in blueberries, which include both preformed and induced physical and biochemical defenses, and synthesizes existing control strategies. These strategies range from conventional fungicides to emerging alternatives such as biological control agents, natural antimicrobials, physical treatments, and integrated pest management (IPM) approaches. Furthermore, the paper explores future research directions by identifying key knowledge gaps and promising areas for innovation. This study aims to bridge the gap between fundamental knowledge and practical application, thereby providing a robust theoretical foundation and actionable guidance for the effective prevention and management of gray mold in blueberry production and storage.

Authors

Institutions

Publication Details

Journal
Horticulturae
Published
2025-10-14
DOI
https://doi.org/10.3390/horticulturae11101241
Primary Topic
Plant Pathogens and Fungal Diseases
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gray Mold in Blueberry: Current Research on Pathogenesis, Host Resistance, and Control Strategies

Qin Yang, Lifeng Xiao, Jie Deng, Sifeng Zhao et al.
Horticulturae
Plant Pathogens and Fungal Diseases
article

Gray Mold in Blueberry: Current Research on Pathogenesis, Host Resistance, and Control Strategies

Qin Yang, Lifeng Xiao, Jie Deng, Sifeng Zhao, Tingting Zhang, Qiuyue Zhao, Lingyan Cui
article en

Abstract

Gray mold, caused by Botrytis cinerea, poses a significant fungal threat to postharvest blueberries, leading to substantial economic losses and challenging the sustainable development of the blueberry industry. This highlights the urgent necessity for comprehensive research to develop effective and sustainable management solutions. This review offers a systematic overview of gray mold in blueberries, with a particular emphasis on elucidating the pathological mechanisms employed by B. cinerea, including its infection pathways and virulence factors. It examines the resistance mechanisms in blueberries, which include both preformed and induced physical and biochemical defenses, and synthesizes existing control strategies. These strategies range from conventional fungicides to emerging alternatives such as biological control agents, natural antimicrobials, physical treatments, and integrated pest management (IPM) approaches. Furthermore, the paper explores future research directions by identifying key knowledge gaps and promising areas for innovation. This study aims to bridge the gap between fundamental knowledge and practical application, thereby providing a robust theoretical foundation and actionable guidance for the effective prevention and management of gray mold in blueberry production and storage.

HorticulturaeVol. 11(10)
Shihezi University (CN), Kaili University (CN)
Department of Education of Guizhou Province
Openalex Percentile: Top 69%
Plant Pathogens and Fungal Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.