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Record W2058303997 · doi:10.1080/07060661.2013.785981

Identification of<i>Potato mop-top virus</i>(PMTV) in potatoes in China

2013· article· en· W2058303997 on OpenAlexaffvenue
Xinxi Hu, Lei Yan, Xingyao Xiong, Changzheng He, Mingyue Liu, Xianzhou Nie

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsAgriculture and Agri-Food Canada
FundersNatural Science Foundation of Hunan Province
KeywordsBiologyPlant virusCropHorticultureNicotiana benthamianaVirusBotanyAgronomyVirology

Abstract

fetched live from OpenAlex

Abstract Potato tubers exhibiting necrotic rings/arcs were found in a winter potato crop ‘Favorita’ in the subtropical area Huidong county, Guangdong province, China, in 2012. When the symptomatic tubers were cut crosswise, light to dark brown necrotic arcs were observed in the tuber flesh. A mini-survey of the crop found 8% symptomatic tubers in an area of 10 meters2. To reveal the causal agent of the disease, reverse transcription–polymerase chain reactions (RT-PCR) targeting 9 common potato viruses including those viruses (e.g, Potato mop-top virus (PMTV), Tobacco rattle virus, Tomato spotted wilt virus, and Potato virus Y tuber necrosis strain) known to be capable of induction of tuber necrosis, were carried out. Except for PMTV, no other viruses were detected. Sequencing of the 460 bp amplicon revealed that the fragment exhibited a 99-100% sequence identify with most PMTV coat protein sequences deposited in GenBank, which was confirmed by a further phylogenetic analysis. Enzyme linked immunosorbent assay with PMTV antibody on the symptomatic tubers was also carried out, and a positive reading was observed. Together, these results demonstrate that PMTV was the causal agent for the spraing disease in potatoes in the winter crop in Guangdong. To our knowledge, this is the first report of PMTV in Guangdong province, China, and the first scientific confirmation of PMTV in China.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.894
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.223
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2013
Admission routes2
Has abstractyes

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