Genomics in Plant Viral Research DOI Creative Commons
Solomon Maina, Brendan Rodoni

Viruses, Journal Year: 2022, Volume and Issue: 14(4), P. 668 - 668

Published: March 24, 2022

Plant viruses constitute a large group of pathogens causing damaging diseases in many agricultural and horticultural crops around the world [...]

Language: Английский

A review on machine learning and deep learning image-based plant disease classification for industrial farming systems DOI

P. Sajitha,

A. Diana Andrushia,

N. Anand

et al.

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: 38, P. 100572 - 100572

Published: Jan. 11, 2024

Language: Английский

Citations

45

Plant disease recognition in a low data scenario using few-shot learning DOI Creative Commons

Masoud Rezaei,

Dean Diepeveen, Hamid Laga

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 219, P. 108812 - 108812

Published: March 4, 2024

Plant disease is one of the major problems in agriculture. Diseases damage plants, reduce yields and lower quality produce. Traditional approaches to detecting plant diseases are usually based on visual inspection laboratory testing, which can be expensive time-consuming. They require trained pathologists as well specialised equipment. Several studies demonstrate that artificial intelligence (AI) methods produce promising results. However, AI generally data-hungry large annotated datasets, collection annotation such datasets a limiting factor. It often appears only small amount data available for certain types. Whereas performance typical drops significantly when they with inadequate data. This paper proposes novel few-shot learning (FSL) method detect alleviate scarcity problem. The proposed uses few five images per class machine process. Our state-of-the-art FSL pipeline called pre-training, meta-learning, fine-tuning (PMF), integrated feature attention (FA) module; we call overall PMF+FA. FA module emphasises discriminative parts image reduces impact complicated backgrounds undesired objects. We used ResNet50 Vision Transformers (ViT) learner. Two publicly were repurposed meet requirements. thoroughly evaluated PlantDoc dataset, contains samples field environments complex unwanted PMF+FA ViT achieved an average accuracy 90.12% recognition. results consistently outperforms baseline PMF. also highlight using generates better than diagnosing implementations computationally efficient, taking 1.11 0.57 ms evaluate test set respectively. high throughput high-quality training dataset indicate technique real-time detection digital farming systems.

Language: Английский

Citations

25

Potential in detection of cereal yellow dwarf virus in cereals through VisNIR spectroscopy DOI Creative Commons
Dhahi Al-Shammari, C. Birchall, Edward J. Jones

et al.

Canadian Journal of Plant Pathology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: March 3, 2025

Language: Английский

Citations

0

Genomic High Plains Wheat Mosaic Virus Sequences from Australia: Their Phylogenetics and Evidence for Emaravirus Recombination and Reassortment DOI Creative Commons
Richard A. Jones, Ines Vazquez‐Iglesias, Sam McGreig

et al.

Viruses, Journal Year: 2023, Volume and Issue: 15(2), P. 401 - 401

Published: Jan. 31, 2023

High Plains wheat mosaic virus (HPWMoV) causes a serious disease in major wheat-growing regions worldwide. We report here the complete or partial genomic sequences of five HPWMoV isolates from Australian samples. Phylogenetic analysis nucleotide eight segments these together with others Genbank found all genes formed two lineages, L1 and L2. contained single isolate Colorado North American Great Region (GPR), L2 had unresolved clusters, A B, Australia GPR. quarter L2B nucleocapsid gene (RNA3) were recombinant, which is unexpected as little evidence recombination exists viruses negative single-stranded RNA genomes. Phylogenies calculated amino acid HPWMoV’s RNA-dependent RNA-polymerase (RNA1), glycoprotein (RNA2), protein showed they closest to those Palo Verde broom virus. However, its movement (RNA4) was closer Ti ringspot-associated common oak viruses, indicating RNA4 their ancestors reassorted produce current emaraviruses. To avoid increased yield losses co-infection, biosecurity measures are advised introduction countries where streak already occurs.

Language: Английский

Citations

9

Inter‐virus relationships in mixed infections and virus‐drought relationships in plants: a quantitative review DOI Creative Commons
Víctor O. Sadras,

Maria Guirao,

Aránzazu Moreno

et al.

The Plant Journal, Journal Year: 2023, Volume and Issue: 117(6), P. 1786 - 1799

Published: Oct. 30, 2023

SUMMARY Inter‐virus relationships in mixed infections and virus‐drought are important agriculture natural vegetation. In this quantitative review, we sampled published factorial experiments to probe for against the null hypothesis of additivity. Our sample captured antagonistic, additive synergistic inter‐virus double infections. Virus‐drought our were or reinforcing notion that viruses have neutral positive effects on droughted plants, drought enhances plant tolerance viruses. Both vary with virus species, host level cultivar accession, timing infection, age trait growing conditions. The trait‐dependence these has implications resource allocation plants. Owing lagging theories, more experimental research fields is bound return phenomenological outcomes. Theoretical work can advance two complementary directions. First, effective theory models behaviour system without specifying all underlying causes lead state change. Second, mechanistic based a nuanced view phenotype explicitly considers downward causation; influence relations vice versa; impact timing, intensity duration interacting modulate phenotype; both soil (moisture) atmospheric (vapour pressure deficit) aspects drought. Theories should scale time, from short term full season, levels organisation up relevant traits: crop yield fitness nature.

Language: Английский

Citations

7

Weed Hosts Represent an Important Reservoir of Turnip Yellows Virus and a Possible Source of Virus Introduction into Oilseed Rape Crop DOI Creative Commons

Lucie Slavíková,

Emad Ibrahim, Glenda Alquicer

et al.

Viruses, Journal Year: 2022, Volume and Issue: 14(11), P. 2511 - 2511

Published: Nov. 13, 2022

Turnip yellows virus (TuYV) is one of the most important pathogens oilseed rape worldwide. The has a large host range including many crop species (e.g., rape, pea, chickpea) and weeds from more than twenty plant families. Other we detected TuYV in commonly grown weed that share fields vegetation period together with canola crops Czech Slovak Republics. was by reverse-transcription polymerase chain reaction (RT-PCR) at least 26 main hosts (oilseed rape), intercrops such as Amaranthus retroflexus, Atriplex patula (Amaranthaceae), Arctium lappa, Lactuca serriola, Taraxacum officinale, Tripleurospermum inodorum (Asteraceae), Phacelia tanacetifolia (Boraginaceae), Brassica napus, Capsella bursa-pastoris, Descurainia Sophia, Raphanus raphanistrum, Sinapis alba, Sisymbrium Thlaspi arvense (Brassicaceae), Silene Stellaria media (Caryophyllaceae), Euphorbia helioscopia (Euphorbiaceae), Geranium rotundifolium (Geraniaceae), Lamium purpureum (Lamiaceae), Fumaria officinalis, Papaver rhoeas (Papaveraceae), Veronica persica (Plantaginaceae syn. Scrophulariaceae), Fallopia convolvulus (Polygonaceae), Solanum nigrum (Solanaceae), Urtica dioica (Urticaceae) Viola arvensis (Violaceae). detection further confirmed RT-qPCR well Sanger sequencing PCR fragments. We discovered four new T. inodorum, S. G. E. helioscopia, representing their three respective readthrough domain (RTD) gene sequence analysis isolates showed similar within-group nucleotide divergence (7.1% 5.6%, respectively) absence geographical- or host-based phylogenetic clustering. high-throughput P. sample enabled obtention nearly complete genome revealed mixed infection turnip mosaic cucumber virus. Our results thus show are an reservoir play significant role spread incidence disease field rape.

Language: Английский

Citations

11

Australian Cool-Season Pulse Seed-Borne Virus Research: 1. Alfalfa and Cucumber Mosaic Viruses and Less Important Viruses DOI Creative Commons
Richard A. Jones, B. S. Congdon

Viruses, Journal Year: 2024, Volume and Issue: 16(1), P. 144 - 144

Published: Jan. 18, 2024

Here, we review the research undertaken since 1950s in Australia’s grain cropping regions on seed-borne virus diseases of cool-season pulses caused by alfalfa mosaic (AMV) and cucumber (CMV). We present brief background information about continent’s pulse industry, epidemiology, management principles future threats to disease management. then take a historical approach towards all past investigations with these two viruses principal crops grown: chickpea, faba bean, field pea, lentil, narrow-leafed lupin white lupin. With each pathosystem, main focus is its biology, epidemiology management, placing particular emphasis describing glasshouse experimentation that enabled development effective phytosanitary, cultural host resistance control strategies. Past Australian AMV CMV less commonly grown species (vetches, narbon fenugreek, yellow pearl lupin, grass pea other Lathyrus species) those five important also found (broad bean stain virus, broad true wilt cowpea mild mottle peanut virus) are summarized. The need for emphasized, recommendations made regarding what required.

Language: Английский

Citations

2

Recent Advances of Using Innovative Strategies in Management of Millet Plant Pathogens DOI

Hossam E. Harb,

Mohamed A. M. El‐Tabakh, Ahmed M. Khattab

et al.

Published: Jan. 1, 2024

Finger millet is a nutritious cereal crop cultivated traditionally in Africa, Asia, and America. It the second most important India, where it grown on more than 2.6 million hectares produces 3.0 tonnes annually. grains are rich protein, fiber, minerals (calcium, iron, zinc), amino acids (tryptophan, cysteine, methionine), have potential health benefits. However, finger production threatened by various pests diseases, which can cause significant yield losses quality deterioration. Climate change may increase these challenges creating favorable conditions for pest disease outbreaks or unsuitable during leading to decrease yield. Therefore, there need compare evaluate different management strategies cultivation their impact yield, quality, sustainability. In this chapter, we aim review current literature identify effective environmentally friendly methods solutions. Our chapter contributes knowledge practice of sustainable food security.

Language: Английский

Citations

2

Enhancing biosecurity against virus disease threats to Australian grain crops: current situation and future prospects DOI Creative Commons
Solomon Maina, Richard A. Jones

Frontiers in Horticulture, Journal Year: 2023, Volume and Issue: 2

Published: Sept. 29, 2023

Australia is a major grain exporter, and this trade makes an important contribution to its economy. Fortunately, it remains free of many damaging virus diseases vectors found elsewhere. However, crop biosecurity under increasing pressure from global ecological, climatic, demographic challenges. Stringent plant health programs safeguard Australian production vector incursions entering via different pathways. These formerly relied upon traditional testing procedures (indicator hosts, serology, PCRs) intercept incoming virus-contaminated material. Recently, the integration rapid genomic diagnostics innovation involving High Throughput Sequencing (HTS) smart tools into sample schedules exploration improve accuracy, efficiency, cost effectiveness diverse circumstances. This process includes evaluating deployment Illumina Oxford Nanopore Technology shotgun sequencing. It also targeted viral genome HTS metabarcoding approaches. In addition, using machine learning deep capacities for big data analyses remote sensing technologies will surveillance. Tracking variants be improved by surveillance networks which combine genomic-surveillance systems with interoperable database. specimen collections help ensure accuracy identifications based solely on genetic information. Enhancing routine diagnosis collection these innovations post entry interception background reduce frequency new incursions, management during eradication, containment other activities, achieve more profitable production.

Language: Английский

Citations

5

Phylogenetics and evolution of wheat streak mosaic virus: Its global origin and the source of the Australian epidemic DOI Creative Commons
Richard A. Jones, Ines Vazquez‐Iglesias, Mohammad Hajizadeh

et al.

Plant Pathology, Journal Year: 2022, Volume and Issue: 71(8), P. 1660 - 1673

Published: July 15, 2022

Abstract Wheat streak mosaic tritimovirus (WSMV) seriously damages wheat worldwide. We report analyses of new complete ORF (CO) sequences from seven Australian isolates with 56 COs and 128 coat protein (CP) genes sequenced previously. Eleven CO three CP were recombinants so removed our analyses. Patristic distances maximum‐likelihood phylogenies nonrecombinant (n‐rec) their closely correlated ( R = 0.994, p ≤ 0.00001). The phylogeny all 188 n‐rec had four well‐supported phylogroups (I–IV): phylogroup I (one Mexican sequence), II (six Iranian sequences), III (48 sequences) IV (133 each basal either mostly European (phylogroup III) or American IV) terminal sequences. South formed a subcluster within Pacific Northwest USA cluster. Unlike the Iranian, populations, North populations demonstrated recent population imbalance. Sample collection dates 40 are known, allowing WSMV dating by RTDT methodology. most ancestor was dated at 1456 CE, cluster 1998.7 only 2–3 years before first reported. Tritimoviruses originated in central Eurasia, entering its Middle East domestication centre one lineage being taken to Mexico after Spanish conquest, whereas other spread throughout Iran, spreading world regions. Probable future regions additional phylogroups, interphylogroup recombinants, constitutes biosecurity concern.

Language: Английский

Citations

8