Monitoring Population Phenology of Asian Citrus Psyllid Using Deep Learning

Bibi, Maria; Hanif, Muhammad Kashif; Sarwar, Muhammad Umer; Khan, Muhammad Irfan; Khan, Shouket Zaman; Shivachi, Casper Shikali; Anees, Asad

doi:10.1155/2021/4644213

Cited by 5 publications

(2 citation statements)

References 43 publications

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“…Prediction may relate to individual pathogen species or, more generally, to taxa with varying levels of vulnerability based on phylogenetic relationships (Robles-Fernández & Lira-Noriega 2017). Neural network models and standard daily meteorological data gave the best prediction of the population dynamics of D. citri, the vector of CLas, at the field scale in Pakistan (Bibi et al 2021; Electronic Supporting Information, S5). Typical field-based prediction models linked to weather data and crop phenology/morphology were developed for B. tabaci, the vector of cassava mosaic viruses, in Uganda (Katono et al 2021; Electronic Supporting Information, S5).…”

Section: Predicting Future Spread Of Diseasementioning

confidence: 99%

What Can Be Learnt by a Synoptic Review of Plant Disease Epidemics and Outbreaks Published in 2021

Jeger¹,

Fielder²,

Beale³

et al. 2023

Preprint

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A synoptic review of plant disease epidemics and outbreaks was made using two complementary approaches. The first approach involved reviewing scientific literature published in 2021, in which quantitative data related to new plant disease epidemics or outbreaks were obtained via surveys or similar methodologies. The second approach involved retrieving new records added in 2021 to the CABI Distribution Database, which contains over a million global geographic records of organisms from over 50,000 species. The literature review retrieved 186 articles, describing studies in 62 categories (pathogen species/species complexes) across >40 host species on 6 continents. Pathogen species with >5 articles were: Bursaphelenchus xylophilus, Candidatus Liberibacter asiaticus, cassava mosaic viruses, citrus tristeza virus, Erwinia amylovora, Fusarium spp. complexes, Fusarium oxysporum f. sp. cubense, Magnaporthe oryzae, maize lethal necrosis co-infecting viruses, Meloidogyne spp. complexes, Pseudomonas syringae pvs, Puccinia striiformis f. sp. tritici, Xylella fastidiosa, and Zymoseptoria tritici. Automated searches of the CABI Distribution Database identified 617 distribution records new in 2021 of 283 plant pathogens. A further manual review of these records confirmed 15 pathogens reported in new locations: apple hammerhead viroid, apple rubbery wood viruses, Aphelenchoides besseyi, Biscogniauxia mediterranea, Ca. Liberibacter asiaticus, citrus tristeza virus, Colletotrichum siamense, cucurbit chlorotic yellows virus, Erwinia rhapontici, Erysiphe corylacearum, Fusarium oxysporum f. sp. cubense Tropical Race 4, Globodera rostochiensis, Nothophoma quercina, potato spindle tuber viroid, and tomato brown rugose fruit virus. Of these, 4 pathogens had at least 25% of all records reported in 2021. We assessed two of these pathogens – tomato brown rugose fruit virus and cucurbit chlorotic yellows virus – to be actively emerging in/spreading to new locations. Although three important pathogens – Ca. Liberibacter asiaticus, citrus tristeza virus and Fusarium oxysporum f. sp. cubense – were represented in the results of both our literature review and our interrogation of the CABI Distribution Database, in general our dual approaches revealed distinct sets of plant disease outbreaks and new records, with little overlap.

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Section: Predicting Future Spread Of Diseasementioning

confidence: 99%

What Can Be Learnt by a Synoptic Review of Plant Disease Epidemics and Outbreaks Published in 2021

Jeger¹,

Fielder²,

Beale³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Liberibacter asiaticus (CLas), the pathogen causing Huanglongbing disease of citrus. Population dynamics of the psyllid were monitored in two study locations at the University of Faisalabad (UAF), Pakistan (Bibi et al 2021). At each location, 15 trees each of Citrus sinensis sensu lato and C. reticulata were selected randomly for population monitoring population numbers at weekly intervals from March 2011 to 2013.…”

Section: Candidatus Liberibacter Asiaticus and Vectors (*: See Also R...mentioning

confidence: 99%

A Synoptic Review of Plant Disease Epidemics and Outbreaks Published in 2021

Jeger¹,

Fielder²,

Beale³

et al. 2022

Preprint

View full text Add to dashboard Cite

A synoptic review of plant disease epidemics and outbreaks was made using two complementary approaches. The first approach involved reviewing scientific literature published in 2021, in which quantitative data related to new plant disease epidemics or outbreaks had been obtained via surveys or similar methodologies. The second approach involved retrieving new pest presence records added to the CABI Distribution Database in 2021. The literature review for the first approach had two stages. Stage 1 aimed to identify publications on plant diseases caused by pathogen taxonomic groups and led to retrieval of 99 core articles describing studies in 62 categories (pathogen species or species complexes) across more than 40 host species in 6 continents. In Stage 2, the core articles were augmented with further articles providing more context and information for the pathogen species identified in Stage 1. When both sets of articles were combined, the pathogen species with more than 5 articles were: Bursephalenchus xylophilus, Candidatus Liberibacter asiaticus, cassava mosaic viruses, citrus tristeza virus, Erwinia amylovora, Fusarium spp. complexes, Fusarium oxysporum f.sp cubense, Magnaporthe oryzae, maize lethal necrosis co-infecting viruses, Meloidogyne spp. complexes, Pseudomonas syringae pvs, Puccinia striiformis f.sp tritici, Xylella fastidiosa, and Zymoseptoria tritici. The automated search of the CABI Distribution Database led to 617 new distribution records from 283 plant pathogens in 2021 and was followed by manual review of all pathogens with more than 4 new records, to identify confirmed first reports in a new location. A total of 15 pathogens was identified: apple hammerhead viroid, apple rubbery wood viruses, Aphelenchoides besseyi, Biscogniauxia mediterranea, Ca. Liberibacter asiaticus, citrus tristeza virus, Colletotrichum siamense, cucurbit chlorotic yellows virus, Erwinia rhapontici, Erysiphe corylacearum, Fusarium oxysporum f.sp. cubense Tropical Race 4, Globodera rostochiensis, Nothophoma quercina, potato spindle tuber viroid, and tomato brown rugose fruit virus. Although 3 very important pathogens – Ca. Liberibacter asiaticus, citrus tristeza virus and Fusarium oxysporum f.sp cubense – were represented in the results of both approaches, in general the two approaches revealed distinct sets of plant disease outbreaks and new records, with little overlap in the results.

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A stacking-based model for the spread of Botryosphaeria laricina

Zhou,

Zhang,

Xie

et al. 2024

J. For. Res.

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Botryosphaeria laricina (larch shoot blight) was first identified in 1973 in Jilin Province, China. The disease spread rapidly and caused considerable damage because its pathogenesis was unknown at the time and there were no effective controls or quarantine methods. At present, it shows a spreading trend, but most research can only conduct physiological analyses within a relatively short period, combining individual influencing factors. Nevertheless, methods such as neural network models, ensemble learning algorithms, and Markov models are used in pest and disease prediction and forecasting. However, there may be fitting issues or inherent limitations associated with these methods. This study obtained B. laricina data at the county level from 2003 to 2021. The dataset was augmented using the SMOTE algorithm, and then algorithms such as XGBoost were used to select the significant features from a combined set of 12 features. A new stacking fusion model has been proposed to predict the status of B. laricina. The model is based on random forest, gradient boosted decision tree, CatBoost and logistic regression algorithms. The accuracy, recall, specificity, precision, F1 value and AUC of the model reached 90.9%, 91.6%, 90.4%, 88.8%, 90.2% and 96.2%. The results provide evidence of the strong performance and stability of the model. B. laricina is mainly found in the northeast and this study indicates that it is spreading northwest. Reasonable means should be used promptly to prevent further damage and spread.

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Monitoring Population Phenology of Asian Citrus Psyllid Using Deep Learning

Cited by 5 publications

References 43 publications

What Can Be Learnt by a Synoptic Review of Plant Disease Epidemics and Outbreaks Published in 2021

What Can Be Learnt by a Synoptic Review of Plant Disease Epidemics and Outbreaks Published in 2021

A Synoptic Review of Plant Disease Epidemics and Outbreaks Published in 2021

A stacking-based model for the spread of Botryosphaeria laricina

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