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Molecular characters of Boleodorus thylactus (Nematoda) associated with avocado (Persea americana) using ITS rDNA from regions of South Africa

2022· article· en· W4293215449 on OpenAlexaboutno aff
MEHRNOUSH AMINISARTESHNIZI

Bibliographic record

VenueResearch on Crops · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicNematode management and characterization studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyPerseaPhylogenetic treeNematodePopulationRibosomal DNAVeterinary medicineHorticultureBotanyEcologyGeneticsGeneMedicine

Abstract

fetched live from OpenAlex

Plant-parasitic nematodes are the main challenge for fruit production in Limpopo Province, South Africa. Besides, the family Tylenchidae are ectoparasite, affecting the yield in a high population. Boleodorus species are not being reported from avocado in South Africa; therefore, its identification is vital to avocado farmers. Hence, molecular study for its accurate identification is needed. This molecular study was conducted in 2022 at the University of Limpopo to identify the nematodes from South African soil associated with crops and trees. First, the recovered nematode was extracted using the tray method, and then its DNA was extracted using the chelex method. Afterward, ITS rDNA was amplified using specific primers to identify the nematode. The Nblast analysis based on the ITS rDNA showed 100% similarity with a population of Boleodorus thylactus (MZ099822, MZ099823) from Canada. In addition, phylogenetic analysis using the maximum likelihood method as implemented in mega x software was done. The phylogenetic analysis put the South African populations of B. thylactus together with other B. thylactus with a 100-bootstrap value. In conclusion, this species' diversity needs to be investigated to determine the impact of this nematode on the avocado yield.

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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.136
GPT teacher head0.311
Teacher spread0.175 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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