Resistance of New Strawberry Genotypes to the Two-Spotted Spider Mite (Acari: Tetranychidae)
Bibliographic record
Abstract
The two-spotted spider mite, Tetranychus urticae Koch, is one of the main strawberry pests in Brazil and many other countries. The objective of this study was to compare the resistance of eight strawberry genotypes (‘Albion’, ‘IAC Guarani’, ‘IAC Princesa Isabel’, ‘Oso Grande’, IAC T-0104, IAC 12, IAC 4 and IAC 1.13) to the two-spotted spider mite, by assessing injury level, biological parameters and host preference of the mite. To facilitate the interpretation of the results, leaf trichomes of each genotype were quantified. Thirty days after the artificial infestation of the genotypes with the mite, IAC T-0104, IAC 12 and ‘IAC Princesa Isabel’ showed the lowest injury levels. ‘IAC Princesa Isabel’, IAC 4 and IAC T-0104 were distinguished from other genotypes by the highest mean generation time (T) of the mite, while ‘IAC Guarani’ was distinguished by the lowest T value. Significantly lower values of intrinsic rate of increase (rm), finite rate of increase (λ) and net reproductive rate (Ro) were determined on ‘IAC Princesa Isabel’ and IAC 1.13. The mite showed preference for ‘IAC Guarani’, as inferred by the larger number of females when offered the chance to select the detached host leaflets. Trichome density was highest on IAC 1.13 and lowest on IAC T-0104, IAC 12, ‘Albion’ and ‘Oso Grande’. The results suggested that ‘IAC Princesa Isabel’, IAC T-0104 and IAC 12 are resistant, IAC 4 and IAC 1.13 are moderately resistant, and ‘IAC Guarani’, ‘Oso Grande’ and ‘Albion’ are susceptible to the mite.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".