Response of <i>Capsicum</i> genotypes to the root-knot nematode <i>Meloidogyne enterolobii</i>
Bibliographic record
Abstract
Meloidogyne enterolobii is a highly aggressive root-knot nematode (RKN) that causes substantial economic losses to Capsicum species and other crops. Resistant genotypes have been used as an alternative to chemical nematicides; however, available Capsicum cultivars are susceptible to this nematode. Hence, the objective of this study was to screen a Brazilian Capsicum germplasm collection, comprising germplasm from Embrapa and commercial cultivars to M. enterolobii, under greenhouse conditions. The treatments comprised 39 C. chinense, 22 C. annuum, and 2 tomato (Solanum lycopersicum) cultivars (checks). Individual plants were inoculated with 5,000 M. enterolobii eggs and second-stage juveniles (J2), and evaluations were carried out for the gall index, egg mass index, number of eggs per gram of roots, reproduction factor (RF), and reproduction index (RI) at 65 days post-inoculation. The results demonstrated that all plant genotypes exhibited susceptibility to this nematode. However, some genotypes exhibited a lower RF (0.01–4.9) than the tomato ‘Nemadoro’ (RF = 8.4–15.3), thus being classified as low susceptibility according to the RI concept. These findings are important for ongoing efforts to identify novel sources of resistance to RKN and contribute to safer, more sustainable agricultural practices.
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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 | 0.000 | 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 | 0.001 |
| 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".