EVALUATION OF 17 TABLE GRAPE ACCESSIONS FOR FOLIAR RESISTANCE TO DOWNY MILDEW
Bibliographic record
Abstract
Grapevine downy mildew (DM) could cause serious damage to vines and young clusters in a humid climate, and multiple fungicides are applied to control this disease. Since most grapes are produced for fresh fruit consumption in Japan, we evaluated foliar DM resistance of 17 table grape cultivars/selections that are important for Japanese table grape breeding by visual rating. By analysis of variance (ANOVA), we estimated the variance component of blocks, cultivars, years and the interaction between cultivars and years. ANOVA revealed that the effect of cultivars is the main source of the variance (79.6%). The effect of year was significant, whereas the estimated variance component was only 3.0% of total variance. The effect of blocks and the interaction were not significant. These results suggested that our evaluation of the DM resistance was reliable. Two Vitis vinifera cultivars ?Rizamat? and ?Neo Muscat? were highly susceptible, and were easily defoliated comparing to other accessions. Most of the other V. vinifera cultivars were susceptible, whereas ?Muscat Hamburg? showed some resistance to this disease. In contrast, some American hybrids such as ?Concord?, ?Campbell Early? and ?Ontario? were highly resistant. However, one of the American hybrids, ?Steuben?, was not as resistant as those resistant hybrids. Japanese tetraploid cultivars, ?Kyoho?, ?Pione? and ?Darkridge?, are rated as medium, while ?Ishiharawase?, which is the tetraploid bud sport of ?Campbell Early?, was highly resistant. These results suggest that there is a variation of DM resistance among table grape cultivars, and that the resistance of Japanese leading cultivars ?Kyoho? and ?Pione? are medium.
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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".