Occurrence and geographic distribution of <i>Squash leaf curl virus</i> in the Baja California Peninsula, Mexico
Bibliographic record
Abstract
Squash leaf curl (SLC) disease causes serious damage in a great diversity of horticultural crops worldwide and is due to infection by different ssDNA bipartite begomoviruses (Family Geminiviridae). Symptoms of leaf yellowing, stunting and curling have been observed in squash crops in the southern region of the Baja California (BC) Peninsula in the northwestern region of Mexico for at least a decade. The damage estimated for all localities showed disease incidence of 73.3% to 97.7% and severity of 49%. Infected plants were collected in three localities in addition to adult whiteflies for species determination. Squash leaf curl virus (SLCuV) was detected in both infected plants and whiteflies by PCR using specific primers that amplified a 601 bp fragment. The full-length DNA-A sequence was 99.1% identical to sequences in GenBank. Phylogenetic studies using the core CP region showed that the BC isolate grouped within a well-defined clade together with SLCuV from the Mediterranean Middle East and USA. The molecular analysis in individual adult whiteflies determined that all populations belonged to Bemisia tabaci (MEAM1) (biotype B) species. No evidence of the Mediterranean (MED) species (biotype Q) was found. The SLC disease has prevailed in squash in the region in several growing cycles and in geographically separated localities. To the best of our knowledge, this is the first report of SLCuV associated with squash plants in BCS, Mexico.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".