Correction to ‘Stenotrophomonas maltophilia causing maize (Zea mays L.) seedling soft rot disease, an emerging threat to maize crop’

IF 1.1 4区农林科学 Q3 PLANT SCIENCES

Journal of Phytopathology Pub Date : 2024-07-24 DOI:10.1111/jph.13365

引用次数: 0

Abstract

Heidari, M., & Aeini, M. (2024). Stenotrophomonas maltophilia causing maize (Zea mays L.) seedling soft rot disease, an emerging threat to maize crop. Journal of Phytopathology, 172, e13299. https://doi.org/10.1111/jph.13299

In the above published article, Figure 1b does not adequately represent the symptoms of the disease and may be misleading to readers. We are providing a corrected version Figure 1 that more accurately depicts the data.

We apologize for this error.

Abstract Image

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玉米（Zea mays L.）幼苗软腐病是对玉米作物的一种新威胁 "一文的更正

Heidari, M., & Aeini, M. (2024)。引起玉米（Zea mays L.）幼苗软腐病的嗜麦芽霉菌，对玉米作物的新威胁。植物病理学杂志》（Journal of Phytopathology），172, e13299。 https://doi.org/10.1111/jph.13299In 在上述发表的文章中，图 1b 没有充分反映该疾病的症状，可能会误导读者。我们现提供更正后的图 1，以更准确地描述数据。

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

Journal of Phytopathology 生物-植物科学

CiteScore

2.90

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： Journal of Phytopathology publishes original and review articles on all scientific aspects of applied phytopathology in agricultural and horticultural crops. Preference is given to contributions improving our understanding of the biotic and abiotic determinants of plant diseases, including epidemics and damage potential, as a basis for innovative disease management, modelling and forecasting. This includes practical aspects and the development of methods for disease diagnosis as well as infection bioassays. Studies at the population, organism, physiological, biochemical and molecular genetic level are welcome. The journal scope comprises the pathology and epidemiology of plant diseases caused by microbial pathogens, viruses and nematodes. Accepted papers should advance our conceptual knowledge of plant diseases, rather than presenting descriptive or screening data unrelated to phytopathological mechanisms or functions. Results from unrepeated experimental conditions or data with no or inappropriate statistical processing will not be considered. Authors are encouraged to look at past issues to ensure adherence to the standards of the journal.