Crop Protection最新文献_第4页

First report of Fusarium fujikuroi causing leaf blight on Chinese yew 引起红豆杉叶枯病的藤黑镰刀菌首次报道

IF 2.5 2区农林科学

Crop Protection Pub Date : 2025-04-26 DOI: 10.1016/j.cropro.2025.107258

Yao Charles Meto, Guoyu Wei, Huayang Xu, Yuling Jiang, Hongfei Gao, Anlong Hu

引用次数: 0

Farmer uptake of cassava-whitefly management technologies and implications for future breeding and promotional efforts 农民对木薯粉虱管理技术的吸收及其对未来育种和推广工作的影响

IF 2.5 2区农林科学

Crop Protection Pub Date : 2025-04-25 DOI: 10.1016/j.cropro.2025.107252

Irene Bayiyana , Anton Bua , Annet Namuddu , Alfred Ozimati , Tom Omara , Sam Wamani , Sam Morris Opio , Sarah Apio , Richard Kabaalu , Daisy Kemigisha , John Colvin , Christopher Abu Omongo

{"title":"Farmer uptake of cassava-whitefly management technologies and implications for future breeding and promotional efforts","authors":"Irene Bayiyana , Anton Bua , Annet Namuddu , Alfred Ozimati , Tom Omara , Sam Wamani , Sam Morris Opio , Sarah Apio , Richard Kabaalu , Daisy Kemigisha , John Colvin , Christopher Abu Omongo","doi":"10.1016/j.cropro.2025.107252","DOIUrl":"10.1016/j.cropro.2025.107252","url":null,"abstract":"<div><div>Cassava stands as Uganda's second most vital staple food after bananas, playing a crucial economic role for smallholder farmers. However, whiteflies significantly reduce cassava yields, jeopardizing farmers' incomes and food security. Aside from direct damage, the cassava whitefly transmits cassava brown streak disease (CBSD) and cassava mosaic disease (CMD), leading to potential yield losses ranging from 70 % to 100 %. The control of whiteflies in cassava cultivation is complicated by the prevalence of varieties susceptible to these pests and the farmers' limited knowledge of effective insecticide use. A study employing both quantitative and qualitative survey methods was conducted to assess smallholder farmers' awareness and adoption of the whitefly-tolerant cassava variety, Mkumba, and the systemic insecticide imidacloprid. Findings reveal that 35.2 % of farmers grew Mkumba, while 31.9 % utilized chemical control. Furthermore, 34.7 % identified whiteflies on cassava, with 45.4 % associating sooty moulds on leaves with whitefly feeding. Awareness of these control technologies was evident among farmers. However, factors such as the farmer's age and sex influenced the adoption of Mkumba, with barriers including the limited availability and high costs of insecticides and certain undesirable traits of Mkumba hindering broader uptake. Addressing these challenges may enhance the adoption and demand for these technologies in cassava farming.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"195 ","pages":"Article 107252"},"PeriodicalIF":2.5,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Widespread distribution and infestation of pink bollworm, Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae), in Bt cotton growing regions of India 印度Bt棉种植区粉红棉铃虫Pectinophora gossypiella (Saunders)（鳞翅目：姬蝇科）的广泛分布和侵染

IF 2.5 2区农林科学

Crop Protection Pub Date : 2025-04-25 DOI: 10.1016/j.cropro.2025.107257

Tadagavadi Nagaraju Madhu , Kamanur Muralimohan , Vakudavath Chinna Babu Naik , Dinesh Kumar Yadav

{"title":"Widespread distribution and infestation of pink bollworm, Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae), in Bt cotton growing regions of India","authors":"Tadagavadi Nagaraju Madhu , Kamanur Muralimohan , Vakudavath Chinna Babu Naik , Dinesh Kumar Yadav","doi":"10.1016/j.cropro.2025.107257","DOIUrl":"10.1016/j.cropro.2025.107257","url":null,"abstract":"<div><div>The pink bollworm (PBW), <em>Pectinophora gossypiella</em> (Lepidoptera: Gelechiidae), is a major pest of cotton, causing significant economic damage. However, comprehensive data on its prevalence and impact across India's cotton-growing regions (North, Central, and South) is limited. To fill this knowledge gap, extensive surveys were conducted from 2019 to 2021 in 164 locations across 41 cotton-growing districts in 10 states, assessing PBW distribution and its potential damage to Bt cotton. We evaluated PBW incidence and severity at various crop stages, including flowering, boll formation, and maturation stages. The findings indicated that PBW was widely distributed across India's cotton-growing regions, with field infestations ranging from 8 to 29 % during flowering and 40–92.5 % at boll maturation. As the season progressed, locule damage ranged from 36 to 86 %, and boll occupancy was in the range of 0.65–1.83. Central India (Maharashtra and Gujarat) exhibited the highest PBW infestation, followed by North India, while South India generally experienced lower damage severity, except for a few regions in Karnataka and Telangana. The widespread presence of PBW across diverse agro-climatic zones poses a significant threat to cotton production. To effectively manage PBW infestations in Bt cotton, it is essential to implement targeted control strategies at regular intervals throughout the reproductive phases of the crop.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"195 ","pages":"Article 107257"},"PeriodicalIF":2.5,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Performance and speed optimization of DLV3-CRSNet for semantic segmentation of Chinese cabbage (Brassica pekinensis Rupr.) and weeds DLV3-CRSNet在白菜和杂草语义分割中的性能及速度优化

IF 2.5 2区农林科学

Crop Protection Pub Date : 2025-04-24 DOI: 10.1016/j.cropro.2025.107236

Xiaomei Gao , Gang Wang , Zihao Zhou , Jie Li , Kexin Song , Jiangtao Qi

{"title":"Performance and speed optimization of DLV3-CRSNet for semantic segmentation of Chinese cabbage (Brassica pekinensis Rupr.) and weeds","authors":"Xiaomei Gao , Gang Wang , Zihao Zhou , Jie Li , Kexin Song , Jiangtao Qi","doi":"10.1016/j.cropro.2025.107236","DOIUrl":"10.1016/j.cropro.2025.107236","url":null,"abstract":"<div><div>Accurate and efficient recognition of crops and weeds in complex agricultural environments is crucial for promoting intelligent weed management and sustainable farming. Despite DeepLabv3+ showing robust semantic segmentation capabilities, its complex architecture and large number of parameters impede training efficiency and pose deployment difficulties, especially in resource-constrained farming environments. Additionally, it has suboptimal accuracy in segmenting small targets, which limits its ability to identify minor crops and weeds. To address these issues, we propose using ConvNeXt as its backbone, integrating the RepVgg structure, and applying the Sigmoid Linear Unit (SiLU) activation function based on the DeepLabv3+ model (DLV3-CRSNet). Experimental results show that DLV3-CRSNet outperforms DeepLabv3+ by achieving improvements of 23% in Mean Intersection over Union (MIoU), 21% in Mean Pixel Accuracy (MPA), 23% in Average Precision (AP), and 15% in Frames per Second (FPS). Additionally, Floating Point Operations per Second (FLOPS) and inference time (IT) are reduced by 13% and 12%. Compared with Pyramid Scene Parsing Network (PSPNet), Expectation-Maximization Attention Networks (EMANet), Fully Convolutional Networks (FCN), UNet, Efficient Neural Network (ENet), and Segmentation Network (SegNet), DLV3-CRSNet enhances MIoU, MPA, AP, and Accuracy by an average of 27%, 18%, 18%, and 3%, while reducing the number of parameters by 26.84 million (M). Field experiments further confirm that DLV3-CRSNet effectively distinguishes Chinese cabbage (<em>Brassica pekinensis</em> Rupr.) and weeds, achieving recognition rates of 95.31% and 93.6%, respectively.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"195 ","pages":"Article 107236"},"PeriodicalIF":2.5,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

A journey of discovery: a multi-stage diagnostic procedure identifies Curtobacterium flaccumfaciens pv. allii as a new potential threat to maize 发现之旅：一种多阶段诊断程序确定了flaccumfaciens pv。Allii是玉米的新潜在威胁

IF 2.5 2区农林科学

Crop Protection Pub Date : 2025-04-23 DOI: 10.1016/j.cropro.2025.107254

Francesca Gaffuri , Irene Ferraris , Alessia Follador , Alessia Travaglino , Luca Angheben , Antonina Rita Limongi , Alessandro Passera , Beniamino Cavagna , Piero Attilio Bianco , Massimo Delledonne , Paola Casati

{"title":"A journey of discovery: a multi-stage diagnostic procedure identifies Curtobacterium flaccumfaciens pv. allii as a new potential threat to maize","authors":"Francesca Gaffuri , Irene Ferraris , Alessia Follador , Alessia Travaglino , Luca Angheben , Antonina Rita Limongi , Alessandro Passera , Beniamino Cavagna , Piero Attilio Bianco , Massimo Delledonne , Paola Casati","doi":"10.1016/j.cropro.2025.107254","DOIUrl":"10.1016/j.cropro.2025.107254","url":null,"abstract":"<div><div>In the current scenario of globalized markets and climate change, phytosanitary risks are greater than ever before: the former facilitates the spread of pests over long distances, while the latter creates environmental conditions favourable for the establishment of pests in new areas. This reinforces the need for caution and constant vigilance regarding outbreaks of new pathogens. In 2022, symptoms including chlorotic streaks, stunted growth and wilting were observed on maize plants in Northern Italy. Diagnostic procedures to identify known pathogens associated with these symptoms (such as <em>Pantoea stewartii</em> subsp. <em>stewartii</em>) produced negative results but allowed the isolation of bacterial colonies that were identified as the putative causative agent of the symptoms. Sequencing of 16S gene initially identified these colonies as <em>Curtobacterium flaccumfaciens</em> pv. <em>flaccumfaciens</em> but specific assays for this pathogen gave negative results, prompting several molecular biology and biological assays, and whole genome sequencing to identify the taxonomy of the bacterial isolates, ultimately determining them to be <em>Curtobacterium flaccumfaciens</em> pv. <em>allii</em>. Subsequent pathogenicity assays verified Koch's postulates by inoculating the isolates on maize, observing the development of symptoms, and re-isolating the bacteria from the infected plants, confirming the status of <em>C. flaccumfaciens</em> pv. <em>allii</em> as a newly reported pathogen of maize. To date there is no information on this organism and the damage it may cause in the field. Further studies are therefore needed, to investigate its epidemiology, pathways and even possible host range, and determine how dangerous this pathogen could be to agriculture.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"195 ","pages":"Article 107254"},"PeriodicalIF":2.5,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Trichoderma spp. as a novel pathogen for maize post-flowering stalk rot in India 印度玉米花后茎腐病新病原菌木霉

IF 2.5 2区农林科学

Crop Protection Pub Date : 2025-04-21 DOI: 10.1016/j.cropro.2025.107255

J. Harish , M.K. Prasannakumar , R. Karan , Gopal Venkateshbabu , N. Vamsidharreddy , K.N. Pallavi , Swathi S. Patil , Pramesh Devanna , C. Manjunatha , H.B. Mahesh

{"title":"Trichoderma spp. as a novel pathogen for maize post-flowering stalk rot in India","authors":"J. Harish , M.K. Prasannakumar , R. Karan , Gopal Venkateshbabu , N. Vamsidharreddy , K.N. Pallavi , Swathi S. Patil , Pramesh Devanna , C. Manjunatha , H.B. Mahesh","doi":"10.1016/j.cropro.2025.107255","DOIUrl":"10.1016/j.cropro.2025.107255","url":null,"abstract":"<div><div>This study explores the role of Trichoderma species as causative agents of stalk rot in maize, representing the first documented case in India. The pathogens were isolated from the infected maize stalks collected from various regions, revealing three distinct Trichoderma isolates (HSRT46, HSRT47 and HSRT67), which exhibited variability in morphological traits such as colony color, mycelium type, pigmentation and conidial structures. Pathogenicity assays, conducted using the toothpick inoculation method, confirmed the virulence of the isolates, with lesion lengths ranging from 5 cm to 9 cm, with HSRT46 having the highest record. Molecular characterization using ITS-rDNA and TEF-1α sequencing identified the isolates as <em>Trichoderma afroharzianum</em> (HSRT46) and <em>T. harzianum</em> (HSRT47 and HSRT67). Phylogenetic analysis signified a close relationship with <em>T. atrobrunneum</em> and this finding revealed a dual role for Trichoderma, traditionally known for its biocontrol capabilities, which may act as opportunistic pathogens under favorable environmental conditions. This emphasizes the need for ongoing monitoring of Trichoderma populations in maize, particularly in rain-fed regions, to mitigate the potential impacts on crop health and yield. Future research should aim to identify the conditions that cause Trichoderma to transition from a symbiotic to a pathogenic role, thus supporting the development of effective disease management strategies for sustainable maize production in India.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"195 ","pages":"Article 107255"},"PeriodicalIF":2.5,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143854880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Deep learning models for detection and recognition of weed species in corn crop 玉米杂草种类检测与识别的深度学习模型

IF 2.5 2区农林科学

Crop Protection Pub Date : 2025-04-19 DOI: 10.1016/j.cropro.2025.107237

Everton Castelão Tetila , Gelson Wirti Junior , Gabriel Toshio Hirokawa Higa , Anderson Bessa da Costa , Willian Paraguassu Amorim , Hemerson Pistori , Jayme Garcia Arnal Barbedo

{"title":"Deep learning models for detection and recognition of weed species in corn crop","authors":"Everton Castelão Tetila , Gelson Wirti Junior , Gabriel Toshio Hirokawa Higa , Anderson Bessa da Costa , Willian Paraguassu Amorim , Hemerson Pistori , Jayme Garcia Arnal Barbedo","doi":"10.1016/j.cropro.2025.107237","DOIUrl":"10.1016/j.cropro.2025.107237","url":null,"abstract":"<div><div>Weed detection and control are important challenges in modern agriculture. Weed infestation can significantly reduce crop yields. The identification of weeds by species, along with their location, is important to reduce production costs and the environmental impact resulting from the use of chemical control across the plantation. In this study, we assessed four deep learning models for detection and recognition of weed species in corn crop. UAV flights were carried out over six corn farming areas at an altitude of 10 meters. Using LabelImg, we labeled almost 10,000 samples of six weed species with high incidence in corn crops. The resulting WEED6C-Dataset was made available for academic purposes. Model assessment was carried out using a 5-fold cross-validation, three metrics for classification evaluation, and six metrics for detection evaluation. Experimental results showed evidence for statistically significant differences between the assessed models. In our experiments, the Faster R-CNN architecture obtained the best results for recall, f-score, RMSE, MAE, R<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span>, mAP50, mAP75 and mAP50-95. On the other hand, the SABL, FoveaBox and YOLOv3 architectures achieved higher precision rates for weed recognition in corn.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"195 ","pages":"Article 107237"},"PeriodicalIF":2.5,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Factors influencing management of Black Sigatoka disease of banana and plantain in the South-West Region of Cameroon 影响喀麦隆西南地区香蕉和大蕉黑叶斑病管理的因素

IF 2.5 2区农林科学

Crop Protection Pub Date : 2025-04-18 DOI: 10.1016/j.cropro.2025.107251

Ayat Ullah , Sylvanus Agbor Tabi , Miroslava Bavorova , Faizal Adams , Vladimir Verner

{"title":"Factors influencing management of Black Sigatoka disease of banana and plantain in the South-West Region of Cameroon","authors":"Ayat Ullah , Sylvanus Agbor Tabi , Miroslava Bavorova , Faizal Adams , Vladimir Verner","doi":"10.1016/j.cropro.2025.107251","DOIUrl":"10.1016/j.cropro.2025.107251","url":null,"abstract":"<div><div>Bananas and plantains are major cash crops in Cameroon, contributing significantly to the national economy and the livelihoods of farmers. However, Black Sigatoka disease (BSD) severely affects the production of these crops, particularly among smallholder farmers. This study examines the control methods used by farmers and the factors influencing their choices in managing BSD. Data were collected from 322 smallholder banana and plantain farmers in the Limbe and Buea districts of Cameroon in 2022. A combination of descriptive statistics and multinomial logistic regression was used to analyze the data. Descriptive results reveal that 78.6 % of farmers have encountered BSD, with the most reported symptoms being black streaks, black dots, and dry patches on leaves (41.6 %). Farmers reported significant negative impacts of BSD on the selling price (62.4 %) and yield (55.3 %) of bananas and plantains. The findings indicate that chemical control methods, such as fungicide applications, are the most commonly used approach (69.9 %), while fewer farmers adopt non-chemical methods, including removing infected leaves and improving field sanitation. Multinomial logistic regression results show that older farmers, religious farmers, those with more farming experience, larger landholdings, and access to extension services are less likely to use non-chemical control methods. In contrast, farmers who are more educated, have received training, consider agriculture their main occupation, and primarily cultivate bananas and plantains are more likely to adopt non-chemical practices. We recommend providing targeted training on non-chemical BSD management methods and equipping extension workers to effectively disseminate this knowledge to farmers.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"195 ","pages":"Article 107251"},"PeriodicalIF":2.5,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Effects of copper and magnesium-based nanomaterials in management of bacterial spot of pepper 铜、镁基纳米材料对辣椒细菌性斑病的防治效果

IF 2.5 2区农林科学

Crop Protection Pub Date : 2025-04-18 DOI: 10.1016/j.cropro.2025.107249

Apekshya Parajuli , Susannah Da Silva , Manoj Choudhary , Jorge Pereira , Swadeshmukul Santra , Jeffrey B. Jones , Mathews L. Paret

{"title":"Effects of copper and magnesium-based nanomaterials in management of bacterial spot of pepper","authors":"Apekshya Parajuli , Susannah Da Silva , Manoj Choudhary , Jorge Pereira , Swadeshmukul Santra , Jeffrey B. Jones , Mathews L. Paret","doi":"10.1016/j.cropro.2025.107249","DOIUrl":"10.1016/j.cropro.2025.107249","url":null,"abstract":"<div><div>Bacterial spot of pepper (BSP) is an important disease caused by <em>Xanthomonas</em> spp. Copper-based bactericides have been widely used to manage this disease over the decades. This has resulted in the development of copper resistance in the pathogen. To this date, as a standard practice, mancozeb mixed with a copper material has been used instead of copper alone to control copper-tolerant strains of the BSP pathogen. As a result of the build-up of copper-tolerant strains, there is a need for an alternative to copper bactericides. Based on results of previous studies for control of bacterial spot-on tomato, we tested core-shell silica copper (CS-Cu), a copper-based nanomaterial as well as some magnesium-based nanomaterials like magnesium oxide (MgO), magnesium double coated copper (MgDC) and magnesium copper (MgCu) <em>in vitro</em> and <em>in planta</em> against <em>X. euvesicatoria</em>. In the <em>in vitro</em> experiments, all nanomaterials had bactericidal activity at concentrations as low as 200 ppm, ranging from 100-fold reduction to complete elimination of viable bacterial cells as compared to the commercial copper bactericide (Kocide 3000) and the control. In growth chamber experiments all the nanomaterials at 100 μg/ml or higher reduced disease severity ranging from 15 % to 56 % less disease compared to theuntreated control. In field experiments nanomaterials except MgO and MgCu at 100 μg/ml were able to reduce BSP severity ranging from 12 % to 50 % compared to untreated control, whereas their efficacy remained similar to that of Kocide-3000.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"195 ","pages":"Article 107249"},"PeriodicalIF":2.5,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Rapid and simple detection of alfalfa mosaic virus using RT-RPA-CRISPR-Cas12a based lateral flow assay in alfalfa crops in China RT-RPA-CRISPR-Cas12a横向流动法快速简便检测中国苜蓿花叶病毒

IF 2.5 2区农林科学

Crop Protection Pub Date : 2025-04-17 DOI: 10.1016/j.cropro.2025.107242

Han Yan, Cheng Guo, Lijun Zhao, Ling Chen, Shuxia Yin

{"title":"Rapid and simple detection of alfalfa mosaic virus using RT-RPA-CRISPR-Cas12a based lateral flow assay in alfalfa crops in China","authors":"Han Yan, Cheng Guo, Lijun Zhao, Ling Chen, Shuxia Yin","doi":"10.1016/j.cropro.2025.107242","DOIUrl":"10.1016/j.cropro.2025.107242","url":null,"abstract":"<div><div>Alfalfa mosaic virus (AMV) has been reported as one of the most common and serious alfalfa-infecting viruses, significantly impacting alfalfa production worldwide. To establish a rapid and simple method for AMV detection in alfalfa crops in China, three novel methods were developed, including real-time fluorescent reverse-transcription recombinase polymerase amplification (RT-RPA), a one-tube one-step RT-RPA-CRISPR-Cas12a-based fluorescent assay, and a one-tube one-step RT-RPA-CRISPR-Cas12a-based lateral flow assay. RT-RPA-CRISPR-Cas12a-based detection methods combine one-step RT-RPA with CRISPR-Cas12a-based fluorescent or lateral flow detection in a single tube. Considering sensitivity, reaction time, ease of operation, and portability of instruments and reagents, the one-tube one-step RT-RPA-CRISPR-Cas12-based lateral flow assay was identified as the most suitable method for rapid field detection of AMV. This assay utilizes a pair of specific RT-RPA primers and a specific crRNA designed based on the conserved multifunctional coat protein gene sequences from 26 AMV isolates. The assay could be completed in approximately 1 h under isothermal conditions at 42 °C and 37 °C using a portable metal incubator. Sensitivity tests demonstrated that the assay could detect as low as 9.0 pg of total RNA extracted from AMV-infected alfalfa plants collected from Inner Mongolia, Hebei, Beijing, and Shanxi provinces in China, with no cross-reactivity with other alfalfa-infecting viral pathogens. Furthermore, its feasibility was validated by testing field-collected alfalfa samples. In conclusion, the developed one-tube one-step RT-RPA-CRISPR-Cas12a-based lateral flow assay offers a simple, sensitive, and efficient method for rapid AMV detection in the field, showing significant potential for practical applications.</div></div>","PeriodicalId":10785,"journal":{"name":"Crop Protection","volume":"195 ","pages":"Article 107242"},"PeriodicalIF":2.5,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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