Molecular characters of Boleodorus thylactus (Nematoda) associated with avocado (Persea americana) using ITS rDNA from regions of South Africa
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".