Susceptibility of fungi, mainly chocolate spot (botrytis fabae sard.), to gamma irradiation in the faba bean crop (vicia faba l.)
Bibliographic record
Abstract
Fungi cause considerable losses in the faba bean crop in many regions of the world. The aim of the current research was to \nevaluate the susceptibility of faba bean to fungi, mainly chocolate spot, and its effect on yield, using seeds exposed to gamma \nirradiation. Faba bean seeds were cultivated in three regions: Hidalgo, Puebla and Tlaxcala, Mexico; the seeds were irradiated \nwith a dose rate of 4.90 Gy·min-1 \nusing a Gammacell 220 irradiator. The irradiation doses were 0, 20, 40, 60, 80, 160, 250 and \n350 Gy of gamma rays with 60Co radioisotopes. The irradiated seeds showed acceptable germination (75.70 %) without visible \ndamages, and survival was 53.62 % until 118 days after sowing. When unirradiated seed was used, the susceptibility of the crop \ncould reach 60 % and the disease severity up to 34 %, with a disease progress rate of 0.006 units·day-1 \n. The 40 Gy dose offered \nthe best response to control the disease; up to 58.80 g of dry weight was obtained for every 100 seeds and a production of \n4,442 kg·ha-1 \n. In faba bean crop, up to 77 % of the variation in yield was due to severity of fungi, mainly the chocolate spot.
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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".