"Relative Susceptibility of ten wheat varieties to infestation with the Angoumois grain moth, Sitotroga cerealella (Oliv.) (Lepidoptera: Gelechidae)"
Bibliographic record
Abstract
The current investigation was carried out during 2021 at the month January- June to evaluate the susceptibility of ten wheat varieties caused by Angoumois grain moth, S. cerealella. Two tests (free choice and non-choice) were performed at 28±2°C, L: D 12:12 hr and 75± 10 RH in Research lab. The results were assessed on the basis of percent damage, percent weight loss, developmental period, total progeny and to record their correlation for susceptibility. The result demonstrated highly significant differences between various wheat varieties in their susceptibility against S. cerealella infestation. In free choice test. The wheat varieties, Sakha 93, Katella, Deepera and Canada 462 were the greatest infestation with S.cerealella, highest percentage of damage, weight loss and adult emerged. Meanwhile, wheat varieties Beniseuf-6, Masr-1, Senora and Gemiza-7 observed the least percentages of damage, weight loss and adult emerged. In non -choice test the wheat varieties, Katella, Sakha 93, Weaber and Gemiza 7 showed the highest infestation with S.cerealella , weight loss and adult emerged. Whereas, Canada 462, Gemiza 7, Masr -1 and Sakha -94 showed the least percentage of infestation, weight loss and adult emerged. The obtained results either from the choice or in non-choice infestation tests, indicate that none of the tested varieties were completely resistant to attack by the S.cerealella but their susceptibility to the infestation varied considerably.
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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 | 0.000 |
| 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".