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Record W1803620927 · doi:10.4454/jpp.v98i3.029

MOLECULAR CHARACTERIZATION OF POTYVIRUSES INFECTING POTATO AND VEGETABLES IN IRAQ

2016· article· en· W1803620927 on OpenAlexaboutno aff
Nawres A. Alkuwaiti, M. N. Maruthi, Susan Seal

Bibliographic record

VenueGreenwich Academic Literature Archive (University of Greenwich) · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPotyvirusBiologyPotato virus YZucchini yellow mosaic virusVirologyGenetic diversityNucleic acid sequencePotyviridaePlant virusGeneticsVirusGenePopulation

Abstract

fetched live from OpenAlex

The genetic diversity of potyviruses infecting potato and vegetables in Iraq was determined by reverse transcription polymerase chain reaction (RT-PCR) targeting the 3´ terminal part of the genome. RT-PCR products were cloned and sequenced. Sequence analysis confirmed the occurrence of potyviruses, namely Bean yellow mosaic virus (BYMV) in broad bean, Potato virus Y (PVY) in potato and tomato, and Zucchini yellow mosaic virus (ZYMV) in zucchini squash. BYMV sequences showed maximum nucleotide sequence identity (97.2-98.7%) with isolates from Australia and Japan. Most PVY sequences were very closely related (ca. 99% nucleotide sequence identity) to PVYO: N isolates from USA and Canada, whereas other sequences showed nucleotide identities (98.5-98.7%) with PVYNTN isolates from Poland, UK and Syria. ZYMV sequences showed maximum nucleotide identity (97.9%) with an isolate from Israel. The low genetic diversity amongst Iraqi potyviruses, alongside their high sequence identities with potyviruses from other countries, suggests a relatively recent introduction to Iraq through imported planting materials.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.200
Teacher spread0.187 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2016
Admission routes1
Has abstractyes

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