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14 pages, 2625 KB  
Article
First Report of Coffea arabica Fruit Rot Disease Caused by Fusarium coffeibaccae in China
by Rui Wang, Yunjin Shi, Jin Xu, Wen Fu, Xiahong He, Xin Hao and Jie Chen
J. Fungi 2026, 12(3), 191; https://doi.org/10.3390/jof12030191 - 6 Mar 2026
Viewed by 807
Abstract
Coffea arabica, a popular beverage ingredient, is prized for its rich chemical composition, which has demonstrated significant positive effects in terms of antioxidant, anti-inflammatory, neuroprotective, and metabolic health. In November 2024, fruit rot with a 15% incidence was observed on C. arabica [...] Read more.
Coffea arabica, a popular beverage ingredient, is prized for its rich chemical composition, which has demonstrated significant positive effects in terms of antioxidant, anti-inflammatory, neuroprotective, and metabolic health. In November 2024, fruit rot with a 15% incidence was observed on C. arabica in Menglian city, Yunnan province, China. Symptoms began as irregular black spots that turned necrotic, wrinkled, and cracked. Fungal isolates from lesions showed morphological characteristics consistent with Fusarium coffeibaccae. Morphological data were supplemented with phylogenetic analyses based on three loci (ITS, TEF1-α, RPB2), and sequences were deposited in GenBank as for ITS (PV211189 and PV211190), TEF1-α (PQ867811 and PQ867812), and RPB2 (PV261064 and PV261065). Koch’s postulates were fulfilled on attached fruits. After 17 days at 25 °C with 70% humidity, typical rot symptoms appeared on inoculated fruits, while controls remained symptom-free. This is the first report of C. arabica fruit rot caused by F. coffeibaccae in China. This study aims to identify the aetiological agent of recently observed coffee fruit rot in Yunnan and to characterize F. coffeibaccae. It provides the first baseline data for targeted monitoring and sustainable control of F. coffeibaccae-mediated fruit rot in China’s expanding coffee sector. Full article
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33 pages, 40829 KB  
Article
Lightweight Hybrid Deep Learning for Strawberry Disease Recognition and Edge Deployment Using Dynamic Multi-Scale CNN–Transformer Fusion
by Nasreddine Haqiq, Mounia Zaim, Mohamed Sbihi, Mustapha El Alaoui, Khalid El Amraoui, Youssef El Kazini, Hassane Roukhe and Lhoussaine Masmoudi
AgriEngineering 2026, 8(2), 75; https://doi.org/10.3390/agriengineering8020075 - 22 Feb 2026
Viewed by 1143
Abstract
To implement a successful strawberry (Fragaria × ananassa) farming, fungal diseases must be detected in a timely manner so that informed crop protection decisions can be made. While field scouting is an option, it is manual and labor intensive. Scouting is also inaccurate [...] Read more.
To implement a successful strawberry (Fragaria × ananassa) farming, fungal diseases must be detected in a timely manner so that informed crop protection decisions can be made. While field scouting is an option, it is manual and labor intensive. Scouting is also inaccurate and reduces efficiency due to micro-climatic lighting and field clutter, among other factors. StrawberryDualNet is a framework that supports Integrated Pest Management and automates symptom surveillance. We present dual-path CNN–Transformer fusion design that integrates two branches: a dynamic multi-scale convolution and a lightweight transformer. The former is able to capture fine-grained morphological lesion textures, while the latter captures overall contextual patterns. The two representations are fused through a learnable gating mechanism to decrease visual uncertainty amongst differing symptoms. We used a stratified five-fold cross-validation to evaluate the framework among five economically significant pathogens. Our approach significantly outperformed other automated scouting baselines, achieving 95.1% accuracy and 95.3% precision, respectively, and it is successful for Anthracnose, Gray Mold, Powdery Mildew, Rhizopus Rot, and Black Spot. The model is also scaled down compared to others (0.04 M parameters; 0.72 MB, 13–20× smaller than MobileNetV2/ShuffleNetV2) and is thus able to be deployed on devices that are lacking computational resources. For edge feasibility, we assessed reduced-precision inference; 16-bit floating point quantization preserved baseline performance at 83 FPS, whereas 8-bit integer quantization caused notable accuracy degradation. Overall, the proposed local–global fusion design provides an accurate, interpretable, and scalable tool for real-time disease phenotyping in precision horticulture. Full article
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10 pages, 909 KB  
Proceeding Paper
Evaluation of the Antifungal Effect of Carvacrol-Rich Essential Oils: In Vitro Study on the Phytopathogenic Fungi Alternaria and Fusarium
by Vasileios Papantzikos, Georgios Patakioutas and Paraskevi Yfanti
Biol. Life Sci. Forum 2025, 54(1), 1; https://doi.org/10.3390/blsf2025054001 - 21 Nov 2025
Cited by 1 | Viewed by 1627
Abstract
Certain essential oils (EOs) from aromatic plants have shown potent antifungal effects. In this work, an in vitro study was conducted to examine the antifungal effect of EOs obtained from Greek flora aromatic plants that belong to the Lamiaceae family on two phytopathogenic [...] Read more.
Certain essential oils (EOs) from aromatic plants have shown potent antifungal effects. In this work, an in vitro study was conducted to examine the antifungal effect of EOs obtained from Greek flora aromatic plants that belong to the Lamiaceae family on two phytopathogenic fungi. Specifically, Satureja horvatii ssp. macrophylla, Coridothymus capitatus, and Origanum vulgare ssp. hirtum were tested against Alternaria sp., which causes tomato black spot, and Fusarium sp., which causes potato tuber dry rot during storage. The antifungal activity of the EOs was assessed using fumigant assays, and their chemical composition was analyzed using gas chromatography–mass spectrometry (GC–MS). After 8 days of incubation at 26 ± 1 °C, the EOs of O. vulgare ssp. hirtum and C. capitatus completely inhibited mycelial growth at 2 µL plate−1 in the case of Fusarium sp. and at 3 µL plate−1 in the case of Alternaria sp. S. horvatii ssp. macrophylla completely inhibited the mycelial growth of Fusarium sp. at 3 µL plate−1 and that of Alternaria sp. at 4 µL plate−1. All the essential oils used in the experiments were rich in carvacrol (41.4–70.0%), while thymol levels ranged from 0% to 18.9%. This fumigant effect could be further evaluated for the fruits’ postharvest protection from phytopathogenic fungi during storage. Full article
(This article belongs to the Proceedings of The 3rd International Online Conference on Agriculture)
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19 pages, 4439 KB  
Article
Characterization and Biological Characteristics of Alternaria, Botryosphaeria, Pestalotiopsis, and Trichothecium Species Associated with Postharvest Loquat Fruit Rot in Yunnan, China
by Jian-Wei Guo, Chun-Lian Yang, Beng-Zha Dong, Rong-Chuan Tian, Min Yang, Lifang Li, Penghua Gao, Su-Yue Zhou, Murad Muhammad, Yu Bu, Junbo Zhang, Chui-Si Kong and Lei Yu
Plants 2025, 14(20), 3201; https://doi.org/10.3390/plants14203201 - 18 Oct 2025
Cited by 3 | Viewed by 1660
Abstract
Postharvest diseases caused by various fungal pathogens pose a significant threat to fruit quality, storage, and market value, making their identification and biological characterization essential for effective management strategies. This study examines the morphological and phylogenetic characteristics of Alternaria, Botryosphaeria, Pestalotiopsis [...] Read more.
Postharvest diseases caused by various fungal pathogens pose a significant threat to fruit quality, storage, and market value, making their identification and biological characterization essential for effective management strategies. This study examines the morphological and phylogenetic characteristics of Alternaria, Botryosphaeria, Pestalotiopsis, and Trichothecium species associated with loquat fruit rot in Yunnan, China. In May 2023, fruit rot of loquat in Yunnan, China, was classified into four types: ring rot, brown spot, black spot, and soft rot, with incidence rates of 4%, 6%, 6%, and 12%, respectively. Based on morphological features and molecular approaches, two strains of Botryosphaeria were identified as Botryosphaeria dothidea, which causes ring rot. Three strains of Trichothecium were identified as Trichothecium roseum, which is responsible for the brown spots. Three strains of Alternaria were identified as Alternaria alternata, which led to the appearance of black spots on the leaves. Similarly, two strains of Pestalotiopsis were identified as Pestalotiopsis kenyana, which causes soft rot. All identified species were verified to induce harvest loquat fruit rot by validating Koch’s postulates. This is the novel report of B. dothidea, T. roseum, and P. kenyana inducing postharvest fruit rot on loquat in Yunnan, China, and globally. It is also the first evidence that A. alternata causes postharvest fruit rot and gray leaf spot on loquat in Yunnan, China. The virulence differed among species, even within isolates of the same species. Additionally, the effect of temperature on the pathogenicity of A. alternata on loquat leaves was more than humidity. These findings enhance our understanding of the fungal pathogens affecting loquat fruit in the study area and highlight the importance of effective management strategies to minimize fruit rot. Further research is needed to investigate the ecological impacts of these species and potential control measures in agricultural practices. Full article
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13 pages, 6897 KB  
Article
Determining the Impact Bruising of Goji Berry Using a Pendulum Method
by Yanwu Jiang, Qingyu Chen and Naishuo Wei
Horticulturae 2025, 11(1), 14; https://doi.org/10.3390/horticulturae11010014 - 27 Dec 2024
Cited by 3 | Viewed by 1514
Abstract
Lycium barbarum L. (goji), as an economic crop, has a high added value. However, the tender and fragile fruits are easily damaged during harvesting and transportation, leading to fruit bruising, which can cause rotting or black–brown spots after drying, seriously affecting the quality [...] Read more.
Lycium barbarum L. (goji), as an economic crop, has a high added value. However, the tender and fragile fruits are easily damaged during harvesting and transportation, leading to fruit bruising, which can cause rotting or black–brown spots after drying, seriously affecting the quality and price. In this study, two varieties of goji were used to determine and evaluate fruit bruising using a pendulum impact test, and the impact process was recorded using a high-speed camera and impact force sensor. This study discussed the energy changes during the impact process of fruits and conducted a correlation analysis of the impact energy, absorbed energy, restitution coefficient, impact force, and other indicators, analyzing the changes in each indicator with the falling height. The results showed that 0.2 m could be considered a critical height for damaging the fruit of goji. Furthermore, this study calculated the bruise susceptibility of the different varieties at different heights, which can be used for predicting bruising during the harvesting and collection of goji berries and ultimately for estimating the damage caused by mechanical harvesting. Full article
(This article belongs to the Section Postharvest Biology, Quality, Safety, and Technology)
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13 pages, 3875 KB  
Article
First Report on the Emergence of Neopestalotiopsis rosae as a Severe Economic Threat to Strawberry Production in Germany
by Tom E. Schierling, Ralf T. Voegele and Abbas El-Hasan
Microorganisms 2025, 13(1), 6; https://doi.org/10.3390/microorganisms13010006 - 24 Dec 2024
Cited by 8 | Viewed by 4351
Abstract
Strawberries hold significant economic importance in both German and global agriculture. However, their yield is often adversely affected by fungal diseases. This study describes Neopestalotiopsis rosae as a newly emerging pathogen responsible for leaf blight and fruit rot in strawberries in Germany. Infected [...] Read more.
Strawberries hold significant economic importance in both German and global agriculture. However, their yield is often adversely affected by fungal diseases. This study describes Neopestalotiopsis rosae as a newly emerging pathogen responsible for leaf blight and fruit rot in strawberries in Germany. Infected plants were observed in Hohenheim, Germany. A combination of morphological and molecular analyses, along with pathogenicity tests, confirmed the identity of N. rosae as the causal agent. Morphological examination of conidia and mycelium revealed key characteristics including the presence of versicolorous median cells, conidial appendages, black spherical conidiomata formation as well as changing colony color and fluffy texture. These properties align with the established descriptions for the species. Molecular analysis, particularly the sequencing of the internal transcribed spacer and β-tubulin regions allowed the precise identification of the pathogen. Artificial inoculation of healthy strawberry plants with conidial suspension derived from the isolated strain resulted in the development of characteristic symptoms, including necrotic leaf spots and water-soaked fruit lesions, similar to those observed on the original infected plants. To our knowledge, this study presents the first documented occurrence of N. rosae in Germany, highlighting its emergence as a significant threat to strawberry production in Europe. Full article
(This article belongs to the Special Issue Plant Pathogenic Fungi: Genetics and Genomics)
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16 pages, 5710 KB  
Article
Evaluation of Rain Shelter Cultivation Mode Effects on Microecological Environment of Mountain Cultivated Ginseng Rhizosphere
by Yinan Yu, Jingzi Piao, Siyi Guo, Bing Li, Zibo Li and Rujun Zhou
Agronomy 2024, 14(11), 2590; https://doi.org/10.3390/agronomy14112590 - 3 Nov 2024
Cited by 2 | Viewed by 1734
Abstract
Rainfall, particularly in continental climates with a monsoonal tendency, impacts the microbial niches during the growth of mountain cultivated ginseng. With shifts in the microbial community, diseases in ginseng cultivated and protected under rain shelter conditions may ultimately be altered. Such cultivation may [...] Read more.
Rainfall, particularly in continental climates with a monsoonal tendency, impacts the microbial niches during the growth of mountain cultivated ginseng. With shifts in the microbial community, diseases in ginseng cultivated and protected under rain shelter conditions may ultimately be altered. Such cultivation may influence microflora dynamics through variations in meteorological parameters; however, this is not yet clear. The present study found that rain shelter cultivation affected the distribution of fungal communities within mountain cultivated ginseng. This led to an improved community structure in the ginseng rhizosphere, characterized by the proliferation of antagonistic fungi and a reduction in pathogenic fungi. A correlation analysis of meteorological factors found that soil temperature and humidity were the primary meteorological factors affecting mountain cultivated ginseng. It is evident that rain shelter cultivation regulated the microecological environment of the mountain cultivated ginseng’s rhizosphere and resulted in positive outcomes. A disease investigation supported this finding. The incidence of ginseng root diseases, such as rust and root rot, was reduced by 5–6%. The incidence of ginseng leaf diseases, including gray mold and black spot, was reduced by 5–10%. This research provides evidence to address the dynamics of microbial ecology under rain shelter cultivation and its benefits for sustainable mountain cultivated ginseng management. Full article
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
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27 pages, 10447 KB  
Review
Challenges and Opportunities in the Sustainable Improvement of Carrot Production
by Antonello Paparella, Prasada Rao Kongala, Annalisa Serio, Chiara Rossi, Liora Shaltiel-Harpaza, Amjad M. Husaini and Mwafaq Ibdah
Plants 2024, 13(15), 2092; https://doi.org/10.3390/plants13152092 - 28 Jul 2024
Cited by 26 | Viewed by 11334
Abstract
From an agricultural perspective, carrots are a significant tap root vegetable crop in the Apiaceae family because of their nutritional value, health advantages, and economic importance. The edible part of a carrot, known as the storage root, contains various beneficial compounds, such as [...] Read more.
From an agricultural perspective, carrots are a significant tap root vegetable crop in the Apiaceae family because of their nutritional value, health advantages, and economic importance. The edible part of a carrot, known as the storage root, contains various beneficial compounds, such as carotenoids, anthocyanins, dietary fiber, vitamins, and other nutrients. It has a crucial role in human nutrition as a significant vegetable and raw material in the nutraceutical, food, and pharmaceutical industries. The cultivation of carrot fields is susceptible to a wide range of biotic and abiotic hazards, which can significantly damage the plants’ health and decrease yield and quality. Scientific research mostly focuses on important biotic stressors, including pests, such as nematodes and carrot flies, as well as diseases, such as cavity spots, crown or cottony rot, black rot, and leaf blight, caused by bacteria, fungi, and oomycetes. The emerging challenges in the field include gaining a comprehensive understanding of the interaction between hosts and pathogens in the carrot–pathogen system, identifying the elements that contribute to disease development, expanding knowledge of systemic treatments, exploring host resistance mechanisms, developing integrated control programs, and enhancing resistance through breeding approaches. In fact, the primary carrot-growing regions in tropical and subtropical climates are experiencing abiotic pressures, such as drought, salinity, and heat stress, which limit carrot production. This review provides an extensive, up-to-date overview of the literature on biotic and abiotic factors for enhanced and sustainable carrot production, considering the use of different technologies for the shelf-life extension of carrots. Therefore, it addresses the current issues in the carrot production chain, opening new perspectives for the exploration of carrots both as a food commodity and as a source of natural compounds. Full article
(This article belongs to the Special Issue Protected Cultivation of Horticultural Crops)
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20 pages, 4630 KB  
Article
U-Net with Coordinate Attention and VGGNet: A Grape Image Segmentation Algorithm Based on Fusion Pyramid Pooling and the Dual-Attention Mechanism
by Xiaomei Yi, Yue Zhou, Peng Wu, Guoying Wang, Lufeng Mo, Musenge Chola, Xinyun Fu and Pengxiang Qian
Agronomy 2024, 14(5), 925; https://doi.org/10.3390/agronomy14050925 - 28 Apr 2024
Cited by 12 | Viewed by 3203
Abstract
Currently, the classification of grapevine black rot disease relies on assessing the percentage of affected spots in the total area, with a primary focus on accurately segmenting these spots in images. Particularly challenging are cases in which lesion areas are small and boundaries [...] Read more.
Currently, the classification of grapevine black rot disease relies on assessing the percentage of affected spots in the total area, with a primary focus on accurately segmenting these spots in images. Particularly challenging are cases in which lesion areas are small and boundaries are ill-defined, hampering precise segmentation. In our study, we introduce an enhanced U-Net network tailored for segmenting black rot spots on grape leaves. Leveraging VGG as the U-Net’s backbone, we strategically position the atrous spatial pyramid pooling (ASPP) module at the base of the U-Net to serve as a link between the encoder and decoder. Additionally, channel and spatial dual-attention modules are integrated into the decoder, alongside a feature pyramid network aimed at fusing diverse levels of feature maps to enhance the segmentation of diseased regions. Our model outperforms traditional plant disease semantic segmentation approaches like DeeplabV3+, U-Net, and PSPNet, achieving impressive pixel accuracy (PA) and mean intersection over union (MIoU) scores of 94.33% and 91.09%, respectively. Demonstrating strong performance across various levels of spot segmentation, our method showcases its efficacy in enhancing the segmentation accuracy of black rot spots on grapevines. Full article
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19 pages, 23163 KB  
Review
Major Pathogens Affecting Carob in the Mediterranean Basin: Current Knowledge and Outlook in Italy
by Ivana Castello, Giancarlo Polizzi and Alessandro Vitale
Pathogens 2023, 12(11), 1357; https://doi.org/10.3390/pathogens12111357 - 15 Nov 2023
Cited by 8 | Viewed by 4655
Abstract
The main pathogens affecting the carob (Ceratonia siliqua) tree in the Mediterranean basin are described in this overview. The most widespread diseases periodically occurring in carob orchards are powdery mildew (Pseudoidium ceratoniae) and cercospora leaf spot (Pseudocercospora ceratoniae [...] Read more.
The main pathogens affecting the carob (Ceratonia siliqua) tree in the Mediterranean basin are described in this overview. The most widespread diseases periodically occurring in carob orchards are powdery mildew (Pseudoidium ceratoniae) and cercospora leaf spot (Pseudocercospora ceratoniae). The causal agents of “black leaf spots” (e.g., Pestalotiopsis, Phyllosticta and Septoria spp.) are responsible for symptoms similar to those previously mentioned for foliar diseases, but are reported in carob orchards at a negligible frequency. Likewise, canker and branch diebacks caused by fungal species belonging to Botryosphaeriaceae are almost never recorded. Among the rots of wood tissues that may compromise old carob specimens, “brown cubical rot” caused by Laetiporus sulphureus is the most widespread and recurrent issue; this pathogen is also well-known for producing edible fruit bodies that are appreciated for pharmaceutical and industrial purposes. On the other hand, “white rots” caused by Fomes and Ganoderma species are less common and reported for the first time in this review. Gall-like protuberances on twigs of uncertain aetiology or tumors on branches associated with Rhizobium radiobacter are described, although these symptoms are seldom detected, as they are also observed for necrotic leaf spots caused by Pseudomonas syringae pv. ciccaronei. A worldwide list of pathogens not yet recorded but at high risk of potential introduction in Italian carob-producing areas is also provided. Finally, concerns related to new phytopathogenic fungi vectored by the invasive Xylosandrus compactus ambrosia beetle are addressed. All the described pathogens could become limiting factors for carob production in the near future, because they could be favored by high-density orchards, the increasing global network of trade exchanges, and the high frequency at which extreme events related to climate change occur globally. Thus, symptoms and signs, causal agents, epidemiology, and, whenever applicable, recommendations for disease prevention and management are provided in this review. Full article
(This article belongs to the Special Issue Prevention and Management of Tree Diseases)
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16 pages, 1079 KB  
Review
New Insights in the Detection and Management of Anthracnose Diseases in Strawberries
by Baker D. Aljawasim, Jayesh B. Samtani and Mahfuzur Rahman
Plants 2023, 12(21), 3704; https://doi.org/10.3390/plants12213704 - 27 Oct 2023
Cited by 34 | Viewed by 8376
Abstract
Anthracnose diseases, caused by Colletotrichum spp., are considered to be among the most destructive diseases that have a significant impact on the global production of strawberries. These diseases alone can cause up to 70% yield loss in North America. Colletotrichum spp. causes several [...] Read more.
Anthracnose diseases, caused by Colletotrichum spp., are considered to be among the most destructive diseases that have a significant impact on the global production of strawberries. These diseases alone can cause up to 70% yield loss in North America. Colletotrichum spp. causes several disease symptoms on strawberry plants, including root, fruit, and crown rot, lesions on petioles and runners, and irregular black spots on the leaf. In many cases, a lower level of infection on foliage remains non-symptomatic (quiescent), posing a challenge to growers as these plants can be a significant source of inoculum for the fruiting field. Reliable detection methods for quiescent infection should play an important role in preventing infected plants’ entry into the production system or guiding growers to take appropriate preventative measures to control the disease. This review aims to examine both conventional and emerging approaches for detecting anthracnose disease in the early stages of the disease cycle, with a focus on newly emerging techniques such as remote sensing, especially using unmanned aerial vehicles (UAV) equipped with multispectral sensors. Further, we focused on the acutatum species complex, including the latest taxonomy, the complex life cycle, and the epidemiology of the disease. Additionally, we highlighted the extensive spectrum of management techniques against anthracnose diseases on strawberries and their challenges, with a special focus on new emerging sustainable management techniques that can be utilized in organic strawberry systems. Full article
(This article belongs to the Special Issue Interactions between Colletotrichum Species and Plants III)
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8 pages, 229 KB  
Editorial
Epidemiology and Control of Fungal Diseases in Crop Plants
by Haiguang Wang
Agronomy 2023, 13(9), 2327; https://doi.org/10.3390/agronomy13092327 - 5 Sep 2023
Cited by 9 | Viewed by 6969
Abstract
Crop fungal diseases are a major threat to crop health and food security worldwide. The epidemiology is the basis for effective and sustainable control of crop fungal diseases. Safe, effective, sustainable, and eco-friendly disease control measures have important economic, ecological, and social significances. [...] Read more.
Crop fungal diseases are a major threat to crop health and food security worldwide. The epidemiology is the basis for effective and sustainable control of crop fungal diseases. Safe, effective, sustainable, and eco-friendly disease control measures have important economic, ecological, and social significances. This Special Issue, “Epidemiology and Control of Fungal Diseases of Crop Plants”, collected one communication and nine original research articles focusing on the identification and detection of the causal agents of alfalfa Fusarium root rot, strawberry black spot, and barley leaf stripe; the semantic segmentation of wheat stripe rust images; the image-based identification of wheat stripe rust and wheat leaf rust; the image-based identification of the severity of wheat Fusarium head blight; the development process of vanilla Fusarium wilt; the regional migration of wheat leaf rust pathogen; the early prediction of potato early blight; the screening of alternative fungicides for the control of alfalfa Fusarium root rot; and the biocontrol potential of endophytic fungi to control of cumin root rot, presenting the progress of research on the epidemiology and control of crop fungal diseases. The studies contained in this Special Issue facilitated the development of epidemiology of the related crop fungal diseases and provided some basis for control of the diseases, which is conducive to the sustainable management of these diseases. Full article
(This article belongs to the Special Issue Epidemiology and Control of Fungal Diseases of Crop Plants)
22 pages, 4853 KB  
Article
The Evaluation of the Grade of Leaf Disease in Apple Trees Based on PCA-Logistic Regression Analysis
by Bingqian Xing, Dian Wang and Tianzhen Yin
Forests 2023, 14(7), 1290; https://doi.org/10.3390/f14071290 - 22 Jun 2023
Cited by 17 | Viewed by 2746
Abstract
Extensive research suggested that the core of how to use pesticides scientifically is the careful and accurate determination of the severity of crop diseases. The existing grading standards of plant leaf diseases have been excessively singular. Thus, the diseases roughly fall into general [...] Read more.
Extensive research suggested that the core of how to use pesticides scientifically is the careful and accurate determination of the severity of crop diseases. The existing grading standards of plant leaf diseases have been excessively singular. Thus, the diseases roughly fall into general and severe grades. To address the above problems, this study considered the effect of the distribution of disease spots, and two evaluation indicators (termed the imbalance degree and main vein distance) were newly added to optimize the grading criteria of apple leaf diseases. Combined with other factors, the grade evaluation indicator was determined through PCA principal component analysis. A gradual multivariate logistic regression algorithm was proposed to evaluate apple leaf disease grade and an optimized apple leaf disease grade evaluation model was built through PCA-logistic regression analysis. In addition, three common apple leaf diseases with a total of 4500 pictures (i.e., black rot, scab, and rust) were selected from several open-source datasets as the subjects of this paper. The object detection algorithm was then used to verify the effectiveness of the new model. As indicated by the results, it can be seen from the loss curve that the loss rate reaches a stable range of around 70 at the epoch. Compared with Faster R-CNN, the average accuracy of Mask R-CNN for the type and grade recognition of apple leaf disease was optimized by 4.91%, and the average recall rate was increased by 5.19%. The average accuracy of the optimized apple leaf disease grade evaluation model was 90.12%, marking an overall increase of 20.48%. Thus, the effectiveness of the new model was confirmed. Full article
(This article belongs to the Section Forest Health)
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14 pages, 2503 KB  
Article
Transcriptome Characterization and Gene Changes Induced by Fusarium solani in Sweetpotato Roots
by Chengling Zhang, Qinchuan Luo, Wei Tang, Jukui Ma, Dongjing Yang, Jingwei Chen, Fangyuan Gao, Houjun Sun and Yiping Xie
Genes 2023, 14(5), 969; https://doi.org/10.3390/genes14050969 - 25 Apr 2023
Cited by 9 | Viewed by 2946
Abstract
Sweetpotato (Ipomoea batatas) is an important root crop that is infected by Fusarium solani in both seedling and root stages, causing irregular black or brown disease spots and root rot and canker. This study aims to use RNA sequencing technology to [...] Read more.
Sweetpotato (Ipomoea batatas) is an important root crop that is infected by Fusarium solani in both seedling and root stages, causing irregular black or brown disease spots and root rot and canker. This study aims to use RNA sequencing technology to investigate the dynamic changes in root transcriptome profiles between control check and roots at 6 h, 24 h, 3 days, and 5 days post-inoculation (hpi/dpi) with F. solani. The results showed that the defense reaction of sweetpotato could be divided into an early step (6 and 24 hpi) without symptoms and a late step to respond to F. solani infection (3 and 5 dpi). The differentially expressed genes (DEGs) in response to F. solani infection were enriched in the cellular component, biological process, and molecular function, with more DEGs in the biological process and molecular function than in the cellular component. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that the main pathways were metabolic pathways, the biosynthesis of secondary metabolites, and carbon metabolism. More downregulated genes were identified than upregulated genes in the plant–pathogen interaction and transcription factors, which might be related to the degree of host resistance to F. solani. The findings of this study provide an important basis to further characterize the complex mechanisms of sweetpotato resistance against biotic stress and identify new candidate genes for increasing the resistance of sweetpotato. Full article
(This article belongs to the Special Issue Sweet Potato Genetics and Genomics)
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17 pages, 1697 KB  
Article
Chemotactic Responses of Xanthomonas with Different Host Ranges
by Marta Sena-Vélez, Elisa Ferragud, Cristina Redondo, James H. Graham and Jaime Cubero
Microorganisms 2023, 11(1), 43; https://doi.org/10.3390/microorganisms11010043 - 22 Dec 2022
Cited by 5 | Viewed by 2841
Abstract
Xanthomonas citri pv. citri (Xcc) (X. citri subsp. citri) type A is the causal agent of citrus bacterial canker (CBC) on most Citrus spp. and close relatives. Two narrow-host-range strains of Xcc, Aw and A*, from Florida [...] Read more.
Xanthomonas citri pv. citri (Xcc) (X. citri subsp. citri) type A is the causal agent of citrus bacterial canker (CBC) on most Citrus spp. and close relatives. Two narrow-host-range strains of Xcc, Aw and A*, from Florida and Southwest Asia, respectively, infect only Mexican lime (Citrus aurantifolia) and alemow (C. macrophylla). In the initial stage of infection, these xanthomonads enter via stomata to reach the apoplast. Herein, we investigated the differences in chemotactic responses for wide and narrow-host-range strains of Xcc A, X. euvesicatoria pv. citrumelonis (X. alfalfae subsp. citrumelonis), the causal agent of citrus bacterial spot, and X. campestris pv. campestris, the crucifer black rot pathogen. These strains of Xanthomonas were compared for carbon source use, the chemotactic responses toward carbon compounds, chemotaxis sensor content, and responses to apoplastic fluids from Citrus spp. and Chinese cabbage (Brassica pekinensis). Different chemotactic responses occurred for carbon sources and apoplastic fluids, depending on the Xanthomonas strain and the host plant from which the apoplastic fluid was derived. Differential chemotactic responses to carbon sources and citrus apoplasts suggest that these Xanthomonas strains sense host-specific signals that facilitate their location and entry of stomatal openings or wounds. Full article
(This article belongs to the Special Issue Plant Pathogenic Microorganisms: State-of-the-Art Research in Spain)
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