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A Rapid Method for Conidial Sporulation of Stemphylium lycopersici, the Pathogen of Tomato Grey Leaf Spot Under Sterile Conditions In Vitro 番茄灰叶斑病病原菌番茄梗霉体外无菌条件下分生孢子快速产孢方法研究
IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Pub Date : 2025-11-25 DOI: 10.1111/jph.70199
Cuicui Wang, Dezhen Zhang, Yanqing Li, Wenjuan Chi, Haoqin Pan

Stemphylium lycopersici is one of the major pathogens causing tomato leaf spot disease and its conidial sporulation in vitro can be a challenge in the research on this fungus. With this study, eight isolates of S. lycopersici were identified by the multi-sequence phylogenetic analysis of internal transcribed spacers 1 and 2 and intervening 5.8S nr DNA, glyceraldehyde-3-phosphate dehydrogenase, and calmodulin. The effect of their culture media, mycelial scraping, mycelial age, moisture content, plate sealing on the sporulation of various S. lycopersici isolates in vitro, as well as the dynamics of sporulation (one isolate only) were also evaluated. The conidiospore production assay was performed under specific conditions. Two-day-old mycelia were scraped and cultivated without Parafilm sealing at 15°C in continuous darkness. Under these conditions, all eight isolates produced over 100 conidiospores per mm2. The type of culture medium and moisture level had no significant effect on the sporulation. The method derived from the study should provide sufficient conidiospores of S. lycopersici for further research in this field.

番茄茎霉是引起番茄叶斑病的主要病原菌之一,其离体分生孢子的形成是番茄叶斑病研究的一个难点。本研究通过对8株番茄葡萄球菌内部转录间隔序列1和2及其间的5.8S nr DNA、甘油醛-3-磷酸脱氢酶和钙调蛋白的多序列系统发育分析,鉴定出8株番茄葡萄球菌。研究了培养基、菌丝刮刮、菌丝年龄、水分含量、平板密封对番茄葡萄球菌体外产孢的影响以及产孢动态(仅1株)。在特定条件下进行分生孢子产生试验。刮取2天大的菌丝,在15℃连续黑暗条件下不封膜培养。在这些条件下,所有8个分离株每平方毫米产生超过100个分孢子孢子。培养基类型和湿度对产孢量无显著影响。该方法可为番茄葡萄球菌的进一步研究提供充足的分生孢子。
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引用次数: 0
First Comprehensive Morphological, Pathogenic and Molecular Characterisation of Alternaria alternata Associated With Leaf Spot of Pyrus communis in Punjab, India 印度旁遮普省梨叶斑病伴生互交霉的形态、致病和分子特征的首次综合研究
IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Pub Date : 2025-11-17 DOI: 10.1111/jph.70194
Bhavneet Kaur, Harpreet Singh, Anita Arora, Amrinder Kaur

Pear (Pyrus communis) is an important fruit crop in India, and its productivity is increasingly threatened by leaf spot disease caused by Alternaria alternata. To investigate the prevalence and characterise the causal agent, surveys were conducted during 2023 across seven major pear-growing districts of Punjab. Forty fungal isolates were recovered from symptomatic leaves and characterised based on cultural and morphological traits. Pathogenicity tests under both in vitro and field conditions confirmed their virulence, with isolates A1 and A15 showing the shortest incubation period, fastest lesion expansion and highest disease severity. Successful re-isolation of the pathogen from infected tissues fulfilled Koch's postulates. Three highly virulent isolates (A1, A14, A15) were further subjected to multilocus sequence analysis using the Internal Transcribed Spacer (ITS), Small Subunit ribosomal RNA (SSU), Large Subunit ribosomal RNA (LSU), glyceraldehyde-3-phosphate dehydrogenase (gapdh), translation elongation factor 1-alpha (tef-1α) and RNA polymerase II subunit (rpb2) gene regions. Phylogenetic analysis clustered these isolates with reference A. alternata strains, confirming their identity. This study represents the first comprehensive morphological, pathogenic and molecular characterisation of A. alternata causing leaf spot of pear in Punjab, providing a foundation for disease monitoring and management strategies.

梨(Pyrus communis)是印度一种重要的水果作物,其生产能力日益受到稻瘟病(Alternaria alternata)的威胁。为了调查患病率并确定致病因子的特征,于2023年在旁遮普的七个主要梨种植区进行了调查。从有症状的叶片中分离了40株真菌,并根据培养和形态特征进行了鉴定。体外和田间条件下的致病性试验证实了它们的毒力,分离株A1和A15潜伏期最短,病变扩展最快,病情严重程度最高。从被感染的组织中成功地重新分离出病原体,证实了科赫的假设。利用内部转录间隔器(ITS)、小亚基核糖体RNA (SSU)、大亚基核糖体RNA (LSU)、甘油醛-3-磷酸脱氢酶(gapdh)、翻译延伸因子1- α (tef-1α)和RNA聚合酶II亚基(rpb2)基因区对3株高毒力分离株A1、A14、A15进行多位点序列分析。系统发育分析将这些分离株与参考菌株聚类,证实了它们的身份。本研究首次对旁遮普省梨叶斑病病菌进行了形态学、病原学和分子生物学的综合鉴定,为梨叶斑病的监测和防治提供了依据。
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引用次数: 0
Pathogenicity and Protein Expression Analysis of Macrophomina pseudophaseolina in Cucumis melo 黄瓜假相巨蝇的致病性及蛋白表达分析
IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Pub Date : 2025-11-16 DOI: 10.1111/jph.70197
Vitor Rafael Oliveira Maia, Andréia Mitsa Paiva Negreiros, Emmanuel de Sousa Jereissati, Glauber Henrique de Souza, Rui Sales Júnior, Tálison Eugênio da Costa, Ismaele Breckenfeld da Costa, Ioná Santos Araújo Holanda

Melon is a major crop cultivated in the Brazilian Semiarid region. Several soilborne fungal pathogens cause root rot and vine decline (RRVD) in commercial production areas. This study evaluated the pathogenicity of Macrophomina pseudophaseolina isolates in melon accessions and characterised their differentially expressed protein profiles using sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE). Two isolates differing in aggressiveness (CMM4807 and CMM4826) were inoculated into the moderately resistant accession C-14 and the susceptible accession MR-1 using the toothpick method. Protein extraction from stem and root tissues was performed using the phenol/SDS precipitation method, and quantified using the Bradford assay. Protein samples were analysed by SDS-PAGE. Root rot symptoms were observed in all inoculated melon seedlings, with the C-14 accession exhibiting moderate resistance to M. pseudophaseolina. Fewer differentially expressed protein bands were detected in the stem and root tissues of the C-14 accession when inoculated with the more aggressive isolate CMM4826. Accession C-14 exhibited moderate resistance to M. pseudophaseolina, a species associated with RRVD in melons. Protein analysis revealed differentially expressed bands after inoculation, with the number of bands influenced by the aggressiveness of the isolates, although both isolates were pathogenic. Further studies are necessary to identify these differentially expressed proteins and elucidate their functions in this plant–pathogen interaction.

甜瓜是巴西半干旱地区种植的主要作物。几种土传真菌病原菌在商业产区引起根腐病和葡萄藤衰败(RRVD)。本研究利用十二烷基硫酸钠-聚丙烯酰胺凝胶电泳(SDS-PAGE)技术对甜瓜中假相巨藻分离株的致病性进行了评价,并对其差异表达蛋白谱进行了表征。采用牙签法将两株侵袭性不同的菌株(CMM4807和CMM4826)接种到中抗性菌株C-14和敏感菌株MR-1中。采用苯酚/SDS沉淀法从茎和根组织中提取蛋白质,并采用Bradford法定量。蛋白质样品采用SDS-PAGE分析。所有接种的甜瓜幼苗均出现根腐病症状,其中C-14菌株对假葡萄球菌表现出中等抗性。与侵袭性较强的分离物CMM4826接种后,C-14植株茎和根组织中差异表达蛋白条带较少。菌株C-14对与甜瓜RRVD相关的一种假葡萄球菌(M. pseudophaseolina)表现出中等抗性。蛋白分析显示接种后条带表达差异,条带的数量受分离株侵袭性的影响,尽管两株分离株都是致病的。需要进一步的研究来鉴定这些差异表达蛋白并阐明它们在植物与病原体相互作用中的功能。
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引用次数: 0
Emerging Fungal and Oomycete Diseases of Cannabis in South Africa: First Reports and Pathogenicity Confirmation 南非大麻新出现的真菌和卵菌病:首次报告和致病性确认
IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Pub Date : 2025-11-16 DOI: 10.1111/jph.70196
Phatudi Fikile, Wilhelm Botha, Thando Bhiya, Elsie Cruywagen, Shaakir Badat, Fahimeh Jami

The rapid expansion of cannabis production for medicinal purposes in South Africa has led to increasing concerns regarding the prevalence and impact of significant disease challenges, particularly with regard to fungal and Oomycetes pathogens. This study aimed to identify and confirm the pathogens causing wilting, yellowing and white and grey mould symptoms on cannabis. Samples were collected from an aeroponic cannabis facility. The resulting isolates were identified based on DNA sequence data from the rDNA-ITS and tef1-α loci, and the pathogens were confirmed as Botrytis cinerea, Fusarium oxysporum, Pythium myriotylum and Sclerotinia sclerotiorum. Pathogenicity trials further confirmed that all these species were capable of causing the observed symptoms on cannabis plants. Notably, this study represents the first report of these pathogens causing disease symptoms on cannabis in South Africa. These findings emphasise the need for proactive disease monitoring and the development of management practices, to minimise the impact of fungal pathogens on the growing cannabis industry in South Africa.

南非药用大麻生产的迅速扩大,导致人们越来越关注重大疾病挑战的流行和影响,特别是真菌和卵菌病原体。本研究旨在鉴定和确认引起大麻萎蔫、发黄、白霉和灰霉症状的病原体。样本是从空气栽培大麻设施中收集的。根据rDNA-ITS和tef1-α基因座的DNA序列数据对分离物进行鉴定,病原菌为灰葡萄孢(Botrytis cinerea)、尖孢镰刀菌(Fusarium oxysporum)、myriotylum和菌核菌(Sclerotinia sclerotiorum)。致病性试验进一步证实,所有这些物种都能够在大麻植物上引起所观察到的症状。值得注意的是,这项研究代表了这些病原体在南非引起大麻疾病症状的第一份报告。这些发现强调需要进行主动的疾病监测和发展管理实践,以尽量减少真菌病原体对南非日益增长的大麻产业的影响。
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引用次数: 0
Stem Rot on Datura innoxia Caused by Sclerotinia sclerotiorum in Brazil 巴西菌核菌引起的曼陀罗茎腐病
IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Pub Date : 2025-11-14 DOI: 10.1111/jph.70195
Marlon Henrique Hahn, Elizeu Junior da Silva, Alexandre Claus, Gabriel Koch, Maria Gabriela de Carlos da Rocha, Henrique da Silva Silveira Duarte

Datura innoxia, commonly known as ‘angel's trumpet’ or ‘devil's trumpet’, is an ornamental plant widely distributed and cultivated in Brazilian gardens. However, a stem rot was observed in garden plants in Curitiba, Paraná, Brazil. This study aimed to identify the causal agent of the disease through molecular characterisation, morphological characterisation and pathogenicity testing. The isolate CMRP7504 was obtained from internal fragments of diseased stems of D. innoxia. Molecular characterisation was performed using Maximum Likelihood (ML) and Bayesian Inference (BI) analyses of concatenated partial sequences of the G3PDH and HSP60 genes, in addition to the internal transcribed spacer (ITS). The DNA sequences of the pathogen clustered into a reliable clade identified as Sclerotinia sclerotiorum. Morphological characterisation matched the descriptions for S. sclerotiorum. Pathogenicity was assessed in potted plants inoculated with mycelial plugs of the isolated causal agent. Inoculated plants began to wilt on the 13th day, did not recover, and died after the 15th day post-inoculation. The fungus was re-isolated from lesions of inoculated plants and showed the same morphological characteristics as isolate CMRP7504. To the best of our knowledge, this is the first report of S. sclerotiorum causing stem rot in D. innoxia plants in Brazil.

曼陀罗,俗称“天使的号角”或“魔鬼的号角”,是一种广泛分布和种植在巴西花园的观赏植物。然而,在巴西帕拉纳库里蒂巴的园林植物中发现了茎腐病。本研究旨在通过分子特征、形态特征和致病性检测来确定该病的致病因子。分离物CMRP7504是从无头草病茎的内部片段中分离得到的。利用最大似然(ML)和贝叶斯推理(BI)分析G3PDH和HSP60基因的串联部分序列,以及内部转录间隔段(ITS)进行分子表征。该病原体的DNA序列聚集在一个可靠的分支中,被确定为菌核菌。形态特征与菌核菌描述相符。用分离病原菌菌丝塞接种盆栽植物进行致病性评价。接种植株在接种后第13天开始枯萎,但没有恢复,在接种后第15天死亡。从接种植株的损伤中分离得到与CMRP7504相同的真菌形态特征。据我们所知,这是巴西首次报道由菌核菌引起innoxia植物茎腐病。
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引用次数: 0
Molecular Detection and Multilocus Sequence Analysis of ‘Candidatus Phytoplasma Solani’ Strains Infecting Neighbouring Potato and Sugar Beet Fields in Southern Germany 侵染德国南部邻近马铃薯和甜菜的“索兰氏候选菌”的分子检测和多位点序列分析
IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Pub Date : 2025-11-11 DOI: 10.1111/jph.70192
Omid Eini, Zahra Shoaei, Mark Varrelmann

Phytoplasmas were detected in potato tubers and sugar beet roots in neighbouring fields in Southern Germany using quantitative PCR. Infected potato plants showed phytoplasma-associated symptoms including yellowing, upward leaf rolling, aerial tubers and early senescence. Sugar beet plants showed similar symptoms to those of syndrome ‘basses richesses’ (SBR) disease, including proliferation, yellowing and necrosis of older leaves. The genetic diversity of the phytoplasmas in the symptomatic potato and sugar beet plants was investigated through sequence analysis of 16S rRNA and stamp, vmp1, tuf and secY genes. The RFLP profiles and sequences of 16S rRNA were identical among all the sugar beet-positive samples and aligned with subgroup 16SrXII-P, whereas the potato phytoplasma strains were identified as belonging to subgroup 16SrXII-A. Sequence analysis of the non-ribosomal genes showed that the potato strains belonged to the b1 group of the tuf gene, the V4 and V17 groups of the vmp1 gene and the secY3 and secY4 groups of the secY gene. However, the sugar beet strain was clearly distinct from the potato strains. Together with strain 916/22 from sugar beet in eastern Germany, they formed a new group of tuf, secY, vmp and stamp genes. RFLP assays and multilocus sequence analysis of non-ribosomal genes of the phytoplasma strains confirmed that the potato phytoplasma strains were molecularly different from the sugar beet phytoplasma strains. In addition, this is the first report on the multilocus sequence analysis of ‘Candidatus Phytoplasma solani’ strains in potato plants in Germany, suggesting differences in source plants other than sugar beet or interactions with insect vectors specific to each crop.

利用定量PCR技术在德国南部邻近地区的马铃薯块茎和甜菜根中检测到植物原体。受感染的马铃薯植株表现出黄化、向上卷叶、地上块茎和早期衰老等与植物原体相关的症状。甜菜植株表现出与综合征‘ basbasrichess ’ (SBR)病相似的症状,包括老叶增生、变黄和坏死。通过16S rRNA和stamp、vmp1、tuf和secY基因的序列分析,研究了马铃薯和甜菜病株植物原体的遗传多样性。所有甜菜阳性样品的RFLP图谱和16S rRNA序列一致,均属于16SrXII-P亚群,而马铃薯植原体菌株则属于16SrXII-A亚群。非核糖体基因序列分析表明,马铃薯菌株属于tuf基因b1组,vmp1基因V4和V17组,secY基因secY3和secY4组。然而,甜菜菌株与马铃薯菌株明显不同。它们与来自德国东部甜菜的916/22菌株一起,形成了一组新的tuf、secY、vmp和stamp基因。RFLP分析和非核糖体基因多位点序列分析证实,马铃薯植原体菌株与甜菜植原体菌株在分子上存在差异。此外,这是首个对德国马铃薯植株中“solani Candidatus Phytoplasma”菌株进行多位点序列分析的报告,表明除甜菜外,其来源植物存在差异,或与每种作物特有的昆虫媒介相互作用。
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引用次数: 0
Correction to ‘Classification of Cotton Crop Disease Using Hybrid Model and MDFC Feature Extraction Method’ 对“基于杂交模型和MDFC特征提取方法的棉花作物病害分类”的修正
IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Pub Date : 2025-11-11 DOI: 10.1111/jph.70183

Nimbhore, P. P., Tiwari, R., Hazra, T., & Yadav, M. P. (2024). Classification of cotton crop disease using hybrid model and MDFC feature extraction method. Journal of Phytopathology, 172, e13324. https://doi.org/10.1111/jph.13324

In the above published article, the second affiliation for Padma P. Nimbhore was missed. The complete correspondence details should be as follows:

Correspondence

Padma P. Nimbhore, Research Scholar, Computer Science and Engineering, Indian Institute of Information Technology, Pune, Maharashtra, India

Assistant Professor, School of Computer Engineering, MIT Academy of Engineering, Pune, Maharashtra, India

Email: [email protected]; [email protected]

We apologise for this error.

Nimbhore, P. P., Tiwari, R., Hazra, T., &; Yadav, M. P.(2024)。基于杂交模型和MDFC特征提取方法的棉花病害分类。植物病理学杂志,2002,13(3):344 - 344。https://doi.org/10.1111/jph.13324In上面发表的文章,Padma P. Nimbhore的第二个从属关系被遗漏了。完整的通信内容如下:Padma P. Nimbhore,印度信息技术学院计算机科学与工程研究学者,印度马哈拉施特拉邦浦那,麻省理工学院工程学院计算机工程学院助理教授,印度马哈拉施特拉邦浦那,email: [email protected];我们为这个错误道歉。
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引用次数: 0
DSCRANet: A Novel Potato Leaf Disease Recognition Model Based on Multi-Scale Residual Attention Blocks and Depthwise Separable Convolution in Complex Backgrounds 复杂背景下基于多尺度剩余注意块和深度可分离卷积的马铃薯叶病识别模型
IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Pub Date : 2025-11-11 DOI: 10.1111/jph.70193
Guoxin Li, Ruolei Zhang, Yan Ren, Jialiang Zhang, Haiming Ni

Crop diseases seriously affect the stable development of the agricultural economy. Accurately identifying common crop diseases is crucial for improving the production quality of crops. However, due to the limitations of model performance, traditional deep learning algorithms cannot effectively diagnose potato leaf diseases in complex scenarios. Therefore, this study has constructed a novel residual model called “Depthwise Separable Convolution Residual Attention Network” (DSCRANet) to improve the classification accuracy of common potato diseases. Firstly, to better capture global disease features, a new multi-scale residual block was proposed. This module uses multiple parallel convolutional paths to efficiently extract features from the input samples, and combines depthwise separable convolution operations to reduce the computational complexity of the model. Secondly, a dual-path enhanced squeeze and excitation (DESE) attention mechanism was proposed and embedded into the multi-scale residual block to further improve the model's performance. This attention module performs a unique dot-product operation on the input features to increase the difference between disease information and other irrelevant information. To achieve better classification performance, the RFB module and ELU activation function were also introduced into the model. The classification results of the potato disease dataset show that DSCRANet achieved an optimal classification accuracy of 97.07%, while significantly reducing the training time. Moreover, its precision, recall, and F1-score reached 96.59%, 97.13%, and 96.86% respectively, outperforming other advanced recognition networks in terms of performance. The Grad-CAM visualisation results indicate that the DSCRANet algorithm not only accurately locates the disease information but also has a larger receptive field. These findings demonstrate the superiority of the DSCRANet algorithm in terms of classification performance and feature extraction effectiveness. Therefore, the DSCRANet algorithm can be regarded as a better choice for diagnosing potato diseases in complex environments.

农作物病害严重影响农业经济的稳定发展。准确识别作物常见病害对提高作物生产品质至关重要。然而,由于模型性能的限制,传统的深度学习算法在复杂场景下无法有效诊断马铃薯叶片病害。为此,本研究构建了一种新的残差模型“深度可分卷积残差注意网络”(dsranet),以提高马铃薯常见病害的分类精度。首先,为了更好地捕捉全局疾病特征,提出了一种新的多尺度残差块;该模块使用多个并行卷积路径从输入样本中高效提取特征,并结合深度可分卷积运算来降低模型的计算复杂度。其次,提出了一种双路径增强挤压激励(DESE)注意机制,并将其嵌入到多尺度残差块中,进一步提高了模型的性能;该注意模块对输入特征进行独特的点积运算,以增加疾病信息与其他无关信息之间的差异。为了获得更好的分类性能,在模型中还引入了RFB模块和ELU激活函数。马铃薯病害数据集的分类结果表明,dsranet在显著减少训练时间的同时,达到了97.07%的最优分类准确率。其准确率、召回率和f1得分分别达到96.59%、97.13%和96.86%,在性能上优于其他高级识别网络。Grad-CAM可视化结果表明,dsranet算法不仅能准确定位疾病信息,而且具有更大的接受野。这些发现证明了dsranet算法在分类性能和特征提取效率方面的优越性。因此,dsranet算法可以作为复杂环境下马铃薯病害诊断的较好选择。
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引用次数: 0
Distribution and Ecological Diversity of Plant-Parasitic Nematodes in Fruit Tree Nurseries of the North-Western Himalayan Foothills 西北喜马拉雅山麓果树苗圃植物寄生线虫的分布及生态多样性
IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Pub Date : 2025-11-05 DOI: 10.1111/jph.70191
Aayush Kaushal, Sumit Vashisth

Plant-parasitic nematodes pose a major constraint in fruit tree nurseries, adversely affecting the health and vigor of seedlings. The present study was undertaken to assess the community structure of plant-parasitic nematodes associated with tropical and subtropical fruit tree nursery crops in the north-western Himalayan state of India, Himachal Pradesh. A total of 280 soil and root samples were collected during 2023–2024 from 20 commercial nurseries located in six districts. The analysis revealed the presence of nine plant-parasitic nematode taxa, with the following relative abundances: Meloidogyne spp. (51.29%), Helicotylenchus spp. (23.83%), Hoplolaimus spp. (7.52%), Tylenchorhynchus spp. (7.08%), Mesocriconema spp. (6.95%), Pratylenchus spp. (2.23%), Tylenchulus semipenetrans (0.86%), Xiphinema spp. (0.17%) and Tylenchus spp. (0.01%). Interestingly, no visible above-ground symptoms were observed in the sampled plants, except for citrus seedlings infested with T. semipenetrans, which showed stunted growth, chlorotic leaves and dieback symptoms. These findings offer baseline information on the assemblage and distribution of plant-parasitic nematodes in fruit nurseries of this region and underscore the need for further investigation and the development of effective nematode management strategies.

植物寄生线虫是果树苗圃的主要制约因素,对幼苗的健康和生长产生不利影响。本研究旨在评估印度喜马偕尔邦西北部喜马偕尔邦热带和亚热带果树苗圃作物中植物寄生线虫的群落结构。在2023-2024年间,从6个地区的20个商业苗圃收集了280份土壤和根系样本。共发现9个植物寄生线虫类群,相对丰度分别为:Meloidogyne spp(51.29%)、Helicotylenchus spp(23.83%)、Hoplolaimus spp(7.52%)、Tylenchorhynchus spp(7.08%)、Mesocriconema spp(6.95%)、Pratylenchus spp(2.23%)、Tylenchulus semipenetrans(0.86%)、Xiphinema spp(0.17%)和Tylenchus spp(0.01%)。有趣的是,在取样的植物中没有观察到明显的地上症状,除了被半透线虫侵染的柑橘幼苗,它们表现出生长迟缓、叶子褪绿和枯死症状。这些发现为该地区果树苗圃中植物寄生线虫的聚集和分布提供了基础信息,并强调需要进一步调查和制定有效的线虫管理策略。
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引用次数: 0
First Report of Colletotrichum siamense and Description of Lasiodiplodia adeniicola sp. nov. Causing Leaf Spot on Desert Rose in Brazil 巴西沙漠玫瑰炭疽病初报及引起叶斑病的Lasiodiplodia adeniicola sp. 11 .描述
IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Pub Date : 2025-11-02 DOI: 10.1111/jph.70190
Alan Izaías dos Santos Carvalho, Beatriz Meireles Barguil, Kedma Silva Matos, Enayra Silva Sousa, Elys Rejanne Marques Cruz Araújo, José Evando A. Beserra Jr.

In July 2021, desert rose plants were consistently observed with symptoms of brown spots on the leaves, which coalesced and promoted leaf fall. The causal agent of the disease was unknown. This study aimed to identify the pathogen responsible for the symptoms through morphological and molecular characterisation, as well as pathogenicity tests. The pathogens were identified as Colletotrichum siamense and a novel species of Lasiodiplodia representing the first report of these fungi causing leaf spot on desert rose in Brazil and worldwide.

2021年7月,持续观察到沙漠玫瑰植物的叶子上出现棕色斑点的症状,这些症状合并并促进了叶片的脱落。造成这种疾病的原因尚不清楚。本研究旨在通过形态学和分子特征以及致病性试验来确定引起症状的病原体。病原菌鉴定为炭疽菌(Colletotrichum siamense)和一种新的Lasiodiplodia,这是在巴西和世界范围内首次报道的引起沙漠玫瑰叶斑病的真菌。
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引用次数: 0
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