Journal of Phytopathology最新文献

{"title":"CAS9 Mediated In-Planta Defence Strategy Against Tomato Leaf Curl New Delhi Virus (ToLCNDV) in Tomato","authors":"Muhammad Ayyaz Ali,&nbsp;Muhammad Azmat Ullah Khan,&nbsp;Habiba Naz,&nbsp;Muniba Abid Munir Malik,&nbsp;Umer Rashid,&nbsp;Naeem Mahmood Ashraf,&nbsp;Amber Afroz,&nbsp;Muhammad Shafiq,&nbsp;Abdul Qayyum Rao","doi":"10.1111/jph.70026","DOIUrl":"https://doi.org/10.1111/jph.70026","url":null,"abstract":"<div>\u0000 \u0000 <p>Tomato leaf curl New Delhi virus (ToLCNDV), a begomovirus, that causes severe leaf curling, stunting, and reduced yield in tomato plants is consistently threatening its production worldwide. CRISPR/Cas9-mediated genome editing has shown immense potential in developing disease-resistant crops. This study successfully focuses on designing a precise and efficient strategy for in planta defence against ToLCNDV. Five key targets within the viral genome, essential for its replication and pathogenicity, were selected. Five Cas9-expressing constructs, along with the ToLCNDV infectious clone, were agroinfiltrated into tomato plants. Three constructs effectively disrupted the ToLCNDV genome. These three constructs, 1T, 2T, and 4T, were shortlisted based on symptom severity level. They showed a relatively low viral titre of 0.5, 0.42, and 0.25 through quantitative real time PCR (qPCR) after 3, 6, and 9 days of post-co-infiltration, respectively. Positive control plants showed significant signs of infection like yellowing of leaves, thickening of veins, and majorly upward curling of leaves. In comparison, plants infiltrated with three Cas9 constructs had mild yellowing of leaves that recovered after approximately 21-dpi. Furthermore, we assessed the agronomic performance of Cas9-mediated tomato plants through in planta <i>Agrobacterium-</i>mediated transformation with three short-listed guided RNA (gRNA) constructs under greenhouse conditions. Also, qPCR analysis of Cas9 protein in 7, 14, and 21-day of intervals gave a relative expression of 0.85, 0.76 and 0.51 respectively in genetically engineered (GE) plants through in planta transformation. In conclusion, this research contributes to CRISPR-Cas9-mediated plant genome editing. Our findings substantiate the efficacy of the CRISPR/Cas9 system in achieving durable engineering of resistance against ToLCNDV with 30% transformation efficiency in tomato plant. Furthermore, this study illuminates potential avenues for extending the application of this technology to confer resistance against singular and multiple infectious viruses in diverse crop species.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficacy of Organic-Based Substrate Formulation of Bacillus Strains and Trichoderma asperellum Against Fusarium Wilt of Cashew","authors":"Stanslaus A. Lilai,&nbsp;Juma Hussein,&nbsp;Fortunus A. Kapinga,&nbsp;Wilson A. Nene,&nbsp;Stela G. Temu,&nbsp;Donatha D. Tibuhwa","doi":"10.1111/jph.70035","DOIUrl":"https://doi.org/10.1111/jph.70035","url":null,"abstract":"<div>\u0000 \u0000 <p>Biological control has emerged as a leading approach in managing crop diseases including Fusarium wilt of cashew caused by <i>Fusarium oxysporum</i> f.sp. <i>anacardi</i>. However, this approach is limited by the high cost of commercially available growth media and ultimately lacks applications at the farmer's level. The study examined three organic-based substrate formulations (rice bran, rice husk and their combination) of four combined <i>Bacillus</i> strains (<i>Bacillus subtilis</i> 4/5021 and <i>Bacillus velenzesis</i> 10/5140, 11/A + 1 and 13/A + 3) or <i>Trichoderma asperellum</i> to control the disease. The experiments were conducted in farmers' fields in 2021/2022 and 2022/2023. The treatments were applied once during the rainy season by soil drenching at a rate of 20 mL of bioformulation per litre of water around each tree. The results revealed that the treated cashew trees had significantly (<i>p</i> ≤ 0.05) lower final disease severity (between 15.17% and 33.75% in 2021/2022 and 14.43%–31.93% in 2022/2023) than the untreated trees (77.17% and 89.31%, respectively). The only treatment that was not significantly different from the control was the rice husk–<i>T. asperellum</i> formulation in both years. In treated plots, disease severity decreased over time each year, whereas disease severity increased in untreated trees. Based on these results, the three formulations of <i>Bacillus</i> strains and two of the <i>Trichoderma asperellum</i> formulations (bran-based or bran–husk combination) should be evaluated further for the management of Fusarium wilt of cashew. This study offers a potential solution to utilise locally available organic substrates for developing liquid-based formulations of biological control agents.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geographical Distribution, Habitat Suitability and Epidemiological Factors of Tef Head Smudge Disease in the Western Amhara Region, Ethiopia","authors":"Melkamu Birhanie,&nbsp;Girmay Dires","doi":"10.1111/jph.70027","DOIUrl":"https://doi.org/10.1111/jph.70027","url":null,"abstract":"<div>\u0000 \u0000 <p>Tef head smudge (<i>Curvularia miyakei</i>) is an economically important plant disease in the warm-humid regions of the Western Amhara Region, Ethiopia. Therefore, this study aimed to assess the geographical distribution, habitat suitability and epidemiological factors influencing the incidence and severity of Tef head smudge disease. The result of the study depicted that Tef head smudge disease is widely distributed across the region at varying levels of incidence and severity. Sowing date, soil type, altitude and growth stage are the key epidemiological factors contributing to the variability in the incidence and severity of Tef head smudge disease. Moreover, isothermally, temperature seasonality and minimum temperature of the coldest month bioclimatic variables significantly influenced Tef head smudge disease dynamics. Our study also predicted the current habitat suitability of Tef head smudge disease using the MaxEnt (maximum entropy) species distribution model. The model was good in predicting Tef head smudge disease with an AUC (area under the Receiver Operating Curve) of 0.85. According to the model, 31.18%, 44.46% and 14.33% of the areas have highly suitable, moderately suitable and low suitable suitability respectively, whereas 10.03% of the areas have unsuitable suitability to Tef head smudge disease. This result underscores that a significant portion of the Western Amhara Region (75.64%) and similar agro-ecologies are at risk of Tef head smudge disease outbreaks. Therefore, it is important to implement targeted breeding programs and disease management strategies to ensure food security in regions where tef is a primary food source and Tef head smudge is prevalent.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Azelaic Acid Induces Resistance in Coffea arabica Against Infection by Hemileia vastatrix, the Causal Agent of Coffee Leaf Rust","authors":"Verônica Vieira Brás,&nbsp;Leandro Castro Silva,&nbsp;Bruno Nascimento Silva,&nbsp;Luis Felipe Lata-Tenesaca,&nbsp;Ana Carolina Souza,&nbsp;Fabrício Ávila Rodrigues","doi":"10.1111/jph.70029","DOIUrl":"https://doi.org/10.1111/jph.70029","url":null,"abstract":"<div>\u0000 \u0000 <p>Coffee leaf rust (CLR), caused by the fungus <i>Hemileia vastatrix</i>, is a very devastating disease affecting coffee production in many countries worldwide and causing yield losses that range from 15% to 50%. High CLR intensity on coffee trees impairs photosynthesis and causes intense defoliation resulting in fewer and smaller fruit berries on trees. New control methods for CLR that will reduce the use of fungicides and production costs need to be investigated and used in an integrated disease management program. In this study, it was hypothesised that azelaic acid (AzA), a C9 dicarboxylic acid (oxylipin) known to be involved in systemic acquired resistance, could boost defence reactions on the leaves of coffee (<i>Coffea arabica</i>, cultivar Catuaí Vermelho—IAC44) against infection by <i>H. vastatrix</i>. In the in vitro assay, urediniospores germination was significantly reduced (81%–86%) by AzA with concentrations from 1 to 20 mM. Fungal sporulation was much more intense on the leaves from water-sprayed plants compared to leaves from AzA-sprayed plants at both 22 and 30 days after inoculation (dai). The area under CLR progress curve and the intensity of fungal sporulation were significantly lower by 82% and 83%, respectively, and the incubation period was higher by 31% for AzA-sprayed plants compared to water-sprayed ones. The AzA-sprayed plants infected by <i>H. vastatrix</i> displayed less photosynthetic impairments considering the greater values for rate of net CO₂ assimilation, internal CO₂ concentration, transpiration rate, and maximum photochemical efficiency of photosystem II compared to water-sprayed and infected ones. On top of that, these plants displayed higher concentrations of chlorophyll <i>a</i> + <i>b</i> and carotenoids and a more robust antioxidative metabolism (increased ascorbate peroxidase, catalase, and glutathione reductase activities at 12 dai). Interestingly, activities of chitinase, <i>β</i>-1,3-glucanase, phenylalanine ammonia-lyase, peroxidase, and polyphenoloxidase were lower for AzA-sprayed plants as a result of reduced colonisation and sporulation of <i>H. vastatrix</i> in contrast to water-sprayed and infected ones. Higher concentration of superoxide anion radical for AzA-sprayed plants and infected by <i>H. vastatrix</i> at 12, 22, and 30 dai may have helped to reduce the colonisation of coffee leaf tissues by <i>H. vastatrix</i> besides having a citotoxic fungistatic effect against the fungus. These results strongly support the potential of AzA to negatively affect the germination of urediniospores from <i>H. vastatrix</i> as well as to hamper the infection process of <i>H. vastatrix</i> on coffee leaves.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Groundnut Bud Necrosis Virus (GBNV): A New Record for Mungbean in Pakistan","authors":"Khalid Pervaiz Akhtar,&nbsp;Najeeb Ullah,&nbsp;Muhammad Jawad Asghar,&nbsp;Muhammad Shahid","doi":"10.1111/jph.70022","DOIUrl":"https://doi.org/10.1111/jph.70022","url":null,"abstract":"<div>\u0000 \u0000 <p>Mungbean is an economically important short-duration traditional pulse crop in Pakistan. During a routine inspection of mungbean fields in the summer of 2018, unusual disease symptoms reminiscent of Tospovirus were observed for the first time. These symptoms include severe leaf chlorosis, necrosis, plant stunting and death. To identify the causal virus, symptomatic fresh leaves were analysed following RT-PCR using GBNV-specific primer pair which resulted in the amplification of ~0.8 kbp fragment specific to <i>CP</i> gene of Groundnut bud necrosis virus (GBNV). A representative amplicon was cloned and sequenced. The analysis of the attained sequence confirmed its high resemblance with GBNV earlier reported from different crops in India. The virus was successfully mechanically inoculated onto the mungbean genotype MH-21006 which produced similar symptoms as observed under field conditions. Under the present study, based on the visual assessment, 132 mungbean advanced genotypes and approved varieties were also evaluated against GBNV under field conditions. Data showed that 122 genotypes were resistant with percent disease index (PDI) value ranging from 1.3% to 9.9% while 10 were tolerant with PDI value ranging from 10.3% to 14.2%. Present findings confirm the first natural association of GBNV with mungbean in Pakistan.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Phylogenetic Analysis of Diaporthe destruens Isolates From Various Regions in Japan","authors":"Shuichi Hashimoto,&nbsp;Masato Kawabe,&nbsp;Shigenobu Yoshida","doi":"10.1111/jph.70019","DOIUrl":"https://doi.org/10.1111/jph.70019","url":null,"abstract":"<div>\u0000 \u0000 <p>Sweet potato foot rot, caused by <i>Diaporthe destruens</i>, has been recently reported in various regions in Japan. To investigate genetic diversity of <i>D. destruens</i> within Japan, 135 isolates of <i>D. destruens</i> were collected in 12 prefectures in Japan, and ITS, TUB, TEF, H3 and CAL regions were sequenced. In all regions, there was no difference of sequence among all collected isolates, implying high genetic homogeneity of the fungus spread in Japan. A phylogenetic tree was constructed for ITS sequence with other strains registered in NCBI database. In the tree, our samples were positioned closely to samples in Korea and China but distant from most of the samples in Taiwan. Our study implies genetic relationships between <i>D. destruens</i> strains in Japan and other countries.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Crop Disease Detection by Deep Joint Segmentation and Hybrid Classification Model: A CAD-Based Agriculture Development System","authors":"Raghuram Bhukya,&nbsp;Shankar Vuppu,&nbsp;A Harshvardhan,&nbsp;Hanumanthu Bukya,&nbsp;Suresh Salendra","doi":"10.1111/jph.70003","DOIUrl":"https://doi.org/10.1111/jph.70003","url":null,"abstract":"<p>Precise detection of crop disease at the early stage is a crucial task, which will reduce the spreading of disease by taking preventive measures. The main goal of this research is to propose a hybrid classification system for detecting crop disease by utilising Modified Deep Joint (MDJ) segmentation. The detection of crop diseases involves five stages. They are data acquisition, pre-processing, segmentation, feature extraction and disease detection. In the initial stage, image data of diverse crops is gathered in the data acquisition phase. According to the work, we are considering Apple and corn crops with benchmark datasets. The input image is subjected to pre-processing by utilising the median filtering process. Subsequently, the pre-processed image under goes a segmentation process, where Modified Deep Joint segmentation is proposed in this work. From the segmented image, features like shape, colour, texture-based features and Improved Median Binary Pattern (IMBP)-based features are extracted. Finally, the extracted features are given to the hybrid classification system for identifying the crop diseases. The hybrid classification model includes Bidirectional Long Short-Term Memory (Bi-LSTM) and Deep Belief Network (DBN) classifiers. The outcome of both the classifiers is the score, which is subjected to an improved score level fusion model, which determines the final detection results. Finally, the performance of the proposed hybrid model is evaluated over existing methods for various metrics. At a training data of 90%, the proposed scheme attained an accuracy of 0.965, while conventional methods achieved less accuracy rates.</p>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Customised Convolutional Neural Network With Transfer Learning for Multi-Nutrient Deficiency Identification With Pattern and Deep Features in Paddy Image","authors":"S Kavitha,&nbsp;Kotadi Chinnaiah","doi":"10.1111/jph.70014","DOIUrl":"https://doi.org/10.1111/jph.70014","url":null,"abstract":"<div>\u0000 \u0000 <p>Multi-nutrient deficiency in crops, involving a shortage of essential nutrients such as nitrogen, phosphorus and potassium, impacts plant growing and yield. Accurate recognition is vital for effective nutrient management and maximising productivity. Identification techniques include extractive methods that analyse symptoms and abstractive methods that generate insights from data, with hybrid approaches aiming to improve the accuracy. However, challenges remain in maintaining diagnostic consistency and so forth. Continuous improvements are necessary to better integrate and interpret complex data for more accurate nutrient deficiency identification. To tackle these challenges, this research proposes the customised convolutional neural network-transfer learning (CCNN-TL) model for identifying multi-nutrient deficiencies in paddy leaves. This model includes several key phases: image preprocessing, segmentation, feature extraction, data augmentation and identification. Initially, the paddy leaf images undergo preprocessing using the improved Wiener filtering (IWF) technique. Next, the modified U-Net model is proposed for segmenting the preprocessed images. In the feature extraction phase, relevant features are identified from the segmented images. These features are then augmented through the data augmentation process. Finally, the CCNN-TL model is used for multi-nutrient deficiency identification. The model's effectiveness is demonstrated through comprehensive simulations and experimental evaluations. These evaluations showcase its enhanced performance, with improved accuracy, precision and specificity compared to traditional methods. The CCNN-TL scheme attained the greatest accuracy of 0.982, precision of 0.975 and F-measure of 0.973. The Nutrient-Deficiency-Symptoms-in-Rice dataset was employed for simulations and analysis, ensuring a solid foundation for the evaluations.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pseudomonas viridiflava Causing Leaf Spot of Common Mallow in Iran","authors":"Seyed Zaman Hosseini,&nbsp;Pejman Khodaygan,&nbsp;Luisa Ghelardini,&nbsp;Srđan G. Aćimović,&nbsp;Esmaeil Basavand","doi":"10.1111/jph.70009","DOIUrl":"https://doi.org/10.1111/jph.70009","url":null,"abstract":"<div>\u0000 \u0000 <p>In the spring 2018, a leaf disease including light and necrotic spots with irregular edges surrounded by chlorotic halos was detected on common mallow in Jiroft County (Kerman Province, Iran). A bacterium-forming cream-coloured and mucoid colonies on King's B agar medium was consistently isolated and was fitting of the traits of the genus <i>Pseudomonas</i>. Isolated strains caused spots on common mallow leaves in the pathogenicity test that was identical to natural field symptoms and belonged to <i>Pseudomonas viridiflava</i> based on phenotypic characteristics including LOPAT tests. Two representative isolates were further confirmed as <i>P. viridiflava</i> with 99% sequence identity after sequencing the 16S rRNA and <i>gyrB</i> genes. To our knowledge, this is the first report of <i>P. viridiflava</i> causing leaf spot disease on common mallow in Iran.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fusarium spp. Associated With Leaf Blight of Hosta (Hosta plantaginea L.) in China","authors":"Chenyang Jiao,&nbsp;Li Zhang,&nbsp;Xi Xu,&nbsp;Xilang Yang,&nbsp;Lifeng Guo,&nbsp;Xiangjing Wang,&nbsp;Wensheng Xiang,&nbsp;Junwei Zhao","doi":"10.1111/jph.70010","DOIUrl":"https://doi.org/10.1111/jph.70010","url":null,"abstract":"<div>\u0000 \u0000 <p>Hosta (<i>Hosta plantaginea</i> L.) is a perennial herbaceous plant belonging to the family Liliaceae. It is widely cultivated for its decorative foliage and dainty, colourful flowers. <i>Fusarium</i> is a globally prevalent plant pathogen. During 2020–2021, 116 <i>Fusarium</i> isolates were isolated from 300 hosta leaf blight samples collected from eight cities in China, and 65 representative isolates we selected for further study. The 65 isolates were identified based on the concatenated sequences of the <i>tef1</i> and <i>rpb2</i> genes, which grouped them into 12 <i>Fusarium</i> species, including <i>F. acuminatum</i> (27.59%), <i>F. verticillioides</i> (15.52%), <i>F. oxysporum</i> (10.34%), <i>F. armeniacum</i> (10.34%), <i>F. ipomoeae</i> (8.62%), <i>F. proliferatum</i> (6.9%), <i>F. subglutinans</i> (6.9%), <i>F. humuli</i> (3.45%), <i>F. petersiae</i> (3.45%), <i>F. brachygibbosum</i> (3.45%), <i>F. graminearum</i> (1.72%), and <i>F. compactum</i> (1.72%). Pathogenicity tests demonstrated that all <i>Fusarium</i> isolates exhibited high pathogenicity towards hosta leaves. Whereas in <i>F. proliferatum</i> isolates were found to be the most pathogenic. All <i>Fusarium</i> species obtained in this study are first reported as the causal agents of hosta leaf blight in China except <i>F. oxysporum</i> and <i>F. ipomoeae</i>. The current research offers insights into disease management, phylogenetic relationships amongst <i>Fusarium</i> species and the diversity of <i>Fusarium</i> species associated with hosta leaf blight.</p>\u0000 </div>","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"173 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}