对“莴苣尖孢镰刀菌4号小种和新兴小种4+致莴苣枯萎病的抗性栽培及替代作物治理”的修正

IF 1.1 4区农林科学 Q3 PLANT SCIENCES

Journal of Phytopathology Pub Date : 2025-08-13 DOI:10.1111/jph.70135

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引用次数: 0

摘要

Mestdagh， T. Dockx， I. Vandevelde， J. Van Mullem， A. Decombel， K. Heungens， M. Höfte。2025. 莴苣尖孢镰刀菌4号小种和新兴小种4+引起的莴苣枯萎病的抗性栽培及防治替代作物植物病理学杂志(3):357 - 357。https://doi.org/10.1111/jph.70072In上述文章的表5，列“PSE1”和“PSL1”应该颠倒。我们为这个错误道歉。

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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Correction to ‘Cultivar Resistance and Alternative Crops to Manage Fusarium Wilt in Lettuce Caused by Fusarium oxysporum f. sp. Lactucae Race 4 and the Emerging Race 4+’

Mestdagh, H., T. Dockx, I. Vandevelde, J. Van Mullem, A. Decombel, K. Heungens, M. Höfte. 2025. “Cultivar Resistance and Alternative Crops to Manage Fusarium Wilt in Lettuce Caused by Fusarium oxysporum f. sp. Lactucae Race 4 and the Emerging Race 4+.” Journal of Phytopathology 173: e70072. https://doi.org/10.1111/jph.70072

In Table 5 of the above article, columns ‘PSE1’ and ‘PSL1’ should be reversed.

We apologize for this error.

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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.