Journal of Phytopathology最新文献_第7页

Application of M-RCNN for prompt segmentation between infected tomato leaves and healthy tomato leaves 应用 M-RCNN 及时分割受感染番茄叶片和健康番茄叶片

IF 1.1 4区农林科学

Journal of Phytopathology Pub Date : 2024-08-05 DOI: 10.1111/jph.13363

Shweta V. Bondre, Kotadi Chinnaiah, Vipin D. Bondre

{"title":"Application of M-RCNN for prompt segmentation between infected tomato leaves and healthy tomato leaves","authors":"Shweta V. Bondre, Kotadi Chinnaiah, Vipin D. Bondre","doi":"10.1111/jph.13363","DOIUrl":"10.1111/jph.13363","url":null,"abstract":"Plant diseases have become a problem, as both the quality and quantity of agricultural products can be significantly reduced. The goal of the research is to detect the infection in the plant leaf so that it can be cured before spreading of disease to other plants. The aim of the research is to find out the severity of the leaf disease so that it can be cured based on the level of severity. Also, crop loss can be predicted by using the severity loss. For object localization, we utilize 10,640 tomato leaf images of various classes from the PlantVillage standard repository. As a baseline for future work, we propose a model based on the Mask R-CNN architecture with ResNet-50 as the backbone that effectively performs instance segmentation for these six diseases. The dataset is annotated by using the VGG annotator tool and this annotated dataset would have been used to train the ‘Mask R-CNN model’ and the ResNet50 backbone, fine-tuning the network's weights to accurately detect and segment diseased regions on leaves. The outcomes of the suggested model achieved an average accuracy of 91.3% by using multiple performance indicators like accuracy, precision and F1 score and Recall. Based on the outcome, the severity of the disease is being identified on a scale of 0, 1, 2 and 3.","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"172 4","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141933421","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}

引用次数: 0

Classification of cotton crop disease using hybrid model and MDFC feature extraction method 使用混合模型和 MDFC 特征提取方法对棉花作物病害进行分类

IF 1.1 4区农林科学

Journal of Phytopathology Pub Date : 2024-08-02 DOI: 10.1111/jph.13324

Padma P. Nimbhore, Ritu Tiwari, Tanmoy Hazra, Mahendra Pratap Yadav

{"title":"Classification of cotton crop disease using hybrid model and MDFC feature extraction method","authors":"Padma P. Nimbhore, Ritu Tiwari, Tanmoy Hazra, Mahendra Pratap Yadav","doi":"10.1111/jph.13324","DOIUrl":"10.1111/jph.13324","url":null,"abstract":"A novel Modified Deep Fuzzy Clustering (MDFC) based classification model involves four major phases. They are preprocessing, segmentation, feature extraction and finally, detection and classification phase. To reduce noise and smooth the edges of the input image of the cotton crop, bilateral filtering is first used as a preprocessing approach. Next, a modified deep fuzzy clustering is suggested for the segmentation procedure that creates a collection of segments from the preprocessed image. The segmented image is then processed to extract relevant characteristics by using an enhanced Pyramid of Histogram Orientation Gradient (PHOG), Local Directional Ternary Pattern (LDTP), and statistical-based features. In order to detect and classify cotton crop diseases more effectively, this paper proposes a hybrid system. Here, the features are put through a detection phase, after which the extracted features are trained in the Bidirectional Gated Recurrent Unit (Bi-GRU) model to determine whether or not the cotton crop is infected. Once it is detected to be diseased, the type of disease is classified via an improved Recurrent Neural Network (RNN). In terms of several performance metrics, the proposed model is validated in comparison with the traditional approaches. The MDFC-based classification model outperforms existing models with a specificity of 0.9687 at a learning rate of 90. In contrast, other models achieve lower specificities: Bi-GRU (0.8436), RNN (0.8359), CNN (0.8654), LSTM (0.8769), SVM (0.7983), VGG16 (0.8619), DCNN (0.8725), BI-RNN + BI-LSTM (0.7869), and NN + CNN (0.85478).","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"172 4","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141882617","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}

引用次数: 0

First report of Lasiodiplodia pseudotheobromae causing canker and stem blight of blueberries in Morocco 首次报告 Lasiodiplodia pseudotheobromae 在摩洛哥引起蓝莓腐烂病和茎枯病

IF 1.1 4区农林科学

Journal of Phytopathology Pub Date : 2024-08-02 DOI: 10.1111/jph.13370

Khadija Goura, Rachid Lahlali, Mohammed Baala, Nabila El Alami, Jihane Kenfaoui, Zineb Belabess, Abdessalem Tahiri

引用次数: 0

Influence of the low temperatures (18°C) in the generation of intracellular oxidative stress in the phytopathogen bacterium Pseudomonas savastanoi pv. phaseolicola NPS3121 低温（18°C）对植物病原菌 Pseudomonas savastanoi pv. phaseolicolaNPS3121 细胞内氧化应激产生的影响

IF 1.1 4区农林科学

Journal of Phytopathology Pub Date : 2024-08-01 DOI: 10.1111/jph.13367

Jackeline Lizzeta Arvizu-Gómez, Alejandro Hernández-Morales, Kevin Daniel Llanos-Vargas, Gabriela Olmedo-Álvarez, Juan Campos-Guillén, Alba Adriana Vallejo-Cardona, José Luis Hernández-Flores, Christian González-Reyes

{"title":"Influence of the low temperatures (18°C) in the generation of intracellular oxidative stress in the phytopathogen bacterium Pseudomonas savastanoi pv. phaseolicola NPS3121","authors":"Jackeline Lizzeta Arvizu-Gómez, Alejandro Hernández-Morales, Kevin Daniel Llanos-Vargas, Gabriela Olmedo-Álvarez, Juan Campos-Guillén, Alba Adriana Vallejo-Cardona, José Luis Hernández-Flores, Christian González-Reyes","doi":"10.1111/jph.13367","DOIUrl":"10.1111/jph.13367","url":null,"abstract":"Low temperatures are a key condition for various phytopathogenic bacteria, by favouring their pathogenic potential and the development of plant diseases. So far, the signal transduction pathways related to low temperatures in phytopathogenic bacteria are little understood. The occurrence of intracellular oxidative stress under this condition has been suggested as a molecular event belonging to this signalling pathway. In this study, using the Pseudomonas savastanoi pv. phaseolicola model bacteria, we evaluated intracellular redox state under low-temperature (18°C) conditions. Generation of an oxidative-stress biosensor (pKL1) and fluorometry analyses with the P. savastanoi pv. phaseolicola-roGFP2 bioreporter strain were performed. At low temperatures (18°C) the response capacity or roGFP2 oxidation diminished in relation to 28°C. Likewise, changes in the intracellular redox potential of P. savastanoi pv. phaseolicola during its growth at 28°C and 18°C were observed, with greater oxidation degree in cells grown at 18°C. These results demonstrated that low temperatures induce intracellular oxidative stress in P. savastanoi pv. phaseolicola. From this study, the oxidative stress is established as part of the cellular response to low-temperature conditions in this bacteria. This is the first report of the relation of oxidative stress with low-temperature conditions in phytopathogens bacteria.","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"172 4","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141882480","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}

引用次数: 0

Maize insensitivity to culture filtrates from Exserohilum turcicum is related to quantitative resistance 玉米对绿僵菌（Exserohilum turcicum）培养滤液的不敏感性与数量抗性有关

IF 1.1 4区农林科学

Journal of Phytopathology Pub Date : 2024-08-01 DOI: 10.1111/jph.13350

Carlos Muñoz-Zavala, Paul H. Goodwin, Santos G. Leyva-Mir, Alexander Loladze, Mateo Vargas-Hernández, Elizabeth García-León, Juan M. Tovar-Pedraza, Félix M. San Vicente-García, Amos Alakonya

{"title":"Maize insensitivity to culture filtrates from Exserohilum turcicum is related to quantitative resistance","authors":"Carlos Muñoz-Zavala, Paul H. Goodwin, Santos G. Leyva-Mir, Alexander Loladze, Mateo Vargas-Hernández, Elizabeth García-León, Juan M. Tovar-Pedraza, Félix M. San Vicente-García, Amos Alakonya","doi":"10.1111/jph.13350","DOIUrl":"10.1111/jph.13350","url":null,"abstract":"Turcicum leaf blight (TLB) of maize is caused by Exserohilum turcicum. The TLB resistance is mainly associated with qualitative race-specific resistance that is linked to several Ht genes namely Ht1, Ht2, Ht3, HtM, HtN, HtNB and HtP. However, quantitative TLB resistance also occurs, but its mechanisms are poorly understood. In this study, tolerance or insensitivity to chlorosis and necrosis of E. turcicum culture filtrate was associated with quantitative TLB resistance. A novel detached maize seedling assay was developed for E. turcicum culture filtrate using methanol-treated modified Fries medium. Screening of E. turcicum isolates of races 2, 3, 23, 3 N, 23 N and 123 N against 61 maize inbred lines with diverse levels of resistance to TLB was conducted in the greenhouse by fungal inoculation and the detached seedling culture filtrate assay. Using an isolate of race 123 N, which can overcome all the qualitative resistance genes, a simple linear regression model (R2 = 0.68, p = .90) for the 61 inbred lines was established between disease severity from foliar inoculations and culture filtrate symptom rating of the detached seedling assay. Two maize lines CML474 and CML483 had relatively high culture filtrate symptom ratings but very low disease severity with foliar inoculation indicating that these sources of quantitative TLB resistance may be unrelated to tolerance to E. turcicum culture filtrates, whose effect on seedlings could be due to the toxin known as HT-toxin or monocerin.","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"172 4","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jph.13350","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141882628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Genetic diversity and population structure of grapevine Roditis leaf discoloration-associated virus in Turkey vineyards 土耳其葡萄园中葡萄罗丹花叶变色相关病毒的遗传多样性和种群结构

IF 1.1 4区农林科学

Journal of Phytopathology Pub Date : 2024-07-31 DOI: 10.1111/jph.13368

Ç. Ulubaş-Serçe, S. Aydınlık, Z. N. Öztürk, S. Önder, O. Çiftçi, B. Altan

{"title":"Genetic diversity and population structure of grapevine Roditis leaf discoloration-associated virus in Turkey vineyards","authors":"Ç. Ulubaş-Serçe, S. Aydınlık, Z. N. Öztürk, S. Önder, O. Çiftçi, B. Altan","doi":"10.1111/jph.13368","DOIUrl":"10.1111/jph.13368","url":null,"abstract":"Grapevine Roditis leaf discoloration-associated virus (GRLDaV) is a type of virus that infects grapevines. This research aimed to determine the prevalence of GRLDaV in Turkey vineyards and investigate the genetic diversity and population structure of the selected viral isolates from Turkey compared to isolates from other countries. In this study, 800 shoot samples from Turkey vineyards were collected in late spring and autumn from different regions. The samples were analysed by RT-PCR targeting the partial RNaseH-like gene region of the virus genome. The overall prevalence of GRLDaV was 8.1% among the samples. Phylogenetic analysis of the GRLDaV genome showed that the GRLDaV isolates were clustered into two major lineages. The nucleotide diversity (π) value of Group I, including only Mediterranean isolates, was lower than Group II, suggesting little variation among isolates. Even though π values were low among the geographical regions in Turkey, the region with the highest nucleotide diversity was the Aegean population, followed by the Eastern and Mediterranean populations. Comparison between nonsynonymous and synonymous substitutions showed that negative selection acts on synonymous amino acids. Along with neutrality tests and gene flow analyses, it was emphasized that genetic drift played an important role in shaping the GRLDaV populations. This study provides important information on the prevalence and genetic diversity of GRLDaV in Turkey vineyards. The findings will help to develop better strategies to manage and control this virus, which can cause significant economic losses in grape industries.","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"172 4","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141862613","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}

引用次数: 0

Binucleate Rhizoctonia on potato: Geographic distribution, identification, taxonomy, genomics, host range and disease management 马铃薯上的双核根瘤菌：地理分布、鉴定、分类、基因组学、寄主范围和病害管理

IF 1.1 4区农林科学

Journal of Phytopathology Pub Date : 2024-07-27 DOI: 10.1111/jph.13364

Norman Muzhinji, Moleboheng Lekota

{"title":"Binucleate Rhizoctonia on potato: Geographic distribution, identification, taxonomy, genomics, host range and disease management","authors":"Norman Muzhinji, Moleboheng Lekota","doi":"10.1111/jph.13364","DOIUrl":"10.1111/jph.13364","url":null,"abstract":"Anastomosis groups belonging to the genus Rhizoctonia are phytopathogenic fungi that affect many agricultural crops and are well distributed globally. Among these, Rhizoctonia solani is the dominant, aggressive, widely distributed and the most extensively studied species within the Rhizoctonia genus because of its dominance as a plant pathogen. However, limited attention has been given to other Rhizoctonia species as they were believed to have little or no role in causing diseases on potatoes. Recently, accumulating information indicated that binucleate Rhizoctonia (BNR), previously considered to be saprophytic, mycorrhizal and even biocontrol agent, is phytopathogenic on many agricultural crops including potato. Up until now, there has been no comprehensive review on BNR. However, there is an intense need to understand its taxonomy, biology, detection, genomics and management, not only due to the growing increased survival and occurrence in various climatic conditions. The limited diagnostic methods, and genomic knowledge make understanding and managing of BNR species difficult. This review outlines the information available in peer-reviewed literature regarding the BNR anastomosis groups associated with potato diseases, geographical distribution, detection methods, genomics, nomenclature and taxonomical evolution along with some possible management and control strategies.","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"172 4","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jph.13364","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141786334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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

IF 1.1 4区农林科学

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

引用次数: 0

Lupeol a predisposing factor in grey mould (Amphobotrys ricini [N.F. Buchw.]) Hennebert disease pathogenesis in castor (Ricinus communis L.) 蓖麻（Ricinus communis L.）灰霉病（Amphobotrys ricini [N.F. Buchw.]）Hennebert 疾病发病机理中的一个诱发因素--露贝醇

IF 1.1 4区农林科学

Journal of Phytopathology Pub Date : 2024-07-24 DOI: 10.1111/jph.13357

K. Greeshma, G. Uma Devi, S. Senthilvel, V. Dinesh Kumar, B. Gandhi, K. Shiva Shanker, R. Durga Prasad

{"title":"Lupeol a predisposing factor in grey mould (Amphobotrys ricini [N.F. Buchw.]) Hennebert disease pathogenesis in castor (Ricinus communis L.)","authors":"K. Greeshma, G. Uma Devi, S. Senthilvel, V. Dinesh Kumar, B. Gandhi, K. Shiva Shanker, R. Durga Prasad","doi":"10.1111/jph.13357","DOIUrl":"10.1111/jph.13357","url":null,"abstract":"To understand the castor wax layer's multifaceted contribution to Amphobotrys ricini pathogenesis, the hydrophobic components of cuticular wax were analysed from waxy and non-waxy castor genotypes. Gas chromatography–mass spectrometry (GC–MS) technology enabled the stable detection and quantitative determination of various fatty acids and terpenoids. The investigation revealed a significant presence of triterpenoid compound ‘lupeol’, accounting for approximately 53.6% of the wax composition in the waxy genotype (DCH-519), which was absent in non-waxy genotype (ICS-324). On exposure to lupeol, about 93.3% of conidia germinated leading to rapid mycelium growth and sporulation of A. ricini. SEM analysis of waxy and non-waxy genotypes infected with A. ricini confirmed faster germination and production of longer germ tubes on waxy genotype compared with non-waxy genotype, which may likely due to early recognition of the suitable host in the presence of lupeol, ultimately aiding in speedy germination and growth of the pathogen setting pace for pathogenesis.","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"172 4","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141786222","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}

引用次数: 0

In-vitro and in-vivo assessment of biological control potential of nematode symbiont Xenorhabdus nematophila against Pseudomonas syringae, the causative agent of angular leaf spot of cucumber 线虫共生体 Xenorhabdus nematophila 对黄瓜角斑叶病病原菌 Pseudomonas syringae 的生物防治潜力的体外和体内评估

IF 1.1 4区农林科学

Journal of Phytopathology Pub Date : 2024-07-20 DOI: 10.1111/jph.13351

Muswar Ali Gadhi, Talha Nazir, Muhammad Zeeshan Majeed, Ghulam Hussain Jatoi, Ren Jie, Dewen Qiu

{"title":"In-vitro and in-vivo assessment of biological control potential of nematode symbiont Xenorhabdus nematophila against Pseudomonas syringae, the causative agent of angular leaf spot of cucumber","authors":"Muswar Ali Gadhi, Talha Nazir, Muhammad Zeeshan Majeed, Ghulam Hussain Jatoi, Ren Jie, Dewen Qiu","doi":"10.1111/jph.13351","DOIUrl":"https://doi.org/10.1111/jph.13351","url":null,"abstract":"Bacterial diseases cause colossal losses in vegetable crops and are considered major limiting factors for the commercial production of vegetables around the globe. Among bacterial diseases, angular leaf spot of cucumber caused by Pseudomonas syringae is one of the most economically important diseases that cause substantial economic loss to the cucumber crop. In this study, the in-vitro and in-vivo effects of different strains (X1–X15) of the nematode symbiotic bacterium Xenorhabdus nematophila was determined on the growth of P. syringae in different selected media (TB, SB, SOB, SOC, YT and LB) and at different pH levels (6.5, 7.5 and 8.5) and on the incidence of angular leaf spot disease on potted cucumber plants. According to the results, maximum growth inhibition of P. syringe (25 mm) was observed in the case of strain X12, followed by strains X10 (23 mm), X8 (21 mm) and X6 (20 mm), while maximum colony growth was observed in the control. Moreover, this P. syringae growth inhibition by the X12 strain of X. nematophila was significantly maximum in SB medium and at pH 7.5. Results of the in-vivo experiment with potted plants showed a maximum incidence (90%) of angular leaf spot disease in control plants, while a minimum disease incidence (15%) was observed for the plants treated with two times dilution of X. nematophila culture, followed by ten times (23%) and fifty times (35%). The overall results of this study demonstrate the inhibitory effect of X. nematophila on the growth and incidence of P. syringae and underscore its putative role in the biological management of plant pathogenic bacteria.","PeriodicalId":16843,"journal":{"name":"Journal of Phytopathology","volume":"172 4","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141732561","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}

引用次数: 0