From fungal detection to crop disease intelligence.

IF 21.2 1区生物学 Q1 PLANT SCIENCES

Trends in Plant Science Pub Date : 2026-10-06 DOI:10.1016/j.tplants.2026.09.002

Pierre Hohmann

引用次数: 0

Abstract

As developed by Shen et al., multiple fungal pathogen detection (MFPD) enables screening of partial and full-length ITS (Internal Transcribed Spacer) datasets for reported fungal pathogens. Linking pathogen detection with crop-context interpretation can help plant science move beyond community profiling towards decision support for biovigilance, disease phenotyping, and resistance breeding.

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从真菌检测到作物病害智能。

由Shen等人开发的多重真菌病原体检测（MFPD）可以筛选报告的真菌病原体的部分和全长ITS （Internal transcriptionspacer）数据集。将病原体检测与作物环境解释联系起来，可以帮助植物科学从群落分析转向支持生物警戒、疾病表型和抗性育种的决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Trends in Plant Science 生物-植物科学

CiteScore

31.30

自引率

2.00%

发文量

196

审稿时长

6-12 weeks

期刊介绍： Trends in Plant Science is the primary monthly review journal in plant science, encompassing a wide range from molecular biology to ecology. It offers concise and accessible reviews and opinions on fundamental plant science topics, providing quick insights into current thinking and developments in plant biology. Geared towards researchers, students, and teachers, the articles are authoritative, authored by both established leaders in the field and emerging talents.