Evaluation of the productivity of the hybrid vine Seyval blanc in function of several types of protection against frost in Quebec
Bibliographic record
Abstract
In Quebec, winter frost is one of the determining factors influencing vine survival and yield. To evaluate the quality of the different types of winter protection, ground temperature data under different covers (ground knolls, leaf mounds, carried over snow and natural snow) and ambient air temperatures were recorded. Results show that the Seyval blanc, if not protected against winter frost, can sustain quite serious damages when the air temperature reaches -30 °C. Ridging, leaf covering and the natural snow cover as well as carried over snow have a positive effect on ground temperatures, since over the site without protection, frost penetrated down to a depth of 50 cm. However, it seems that the root System did not sustain significant damages from the ground frost since regrowth occurred in the Spring. Because of its direct exposure to radiation and surface climatic conditions, bare soil warms up more quickly in the Spring compared to the other sites benefiting from protection. Results also indicate that the mortality rate of the vine stock fruit buds without protection is nearly 100 % compared to the protected vine stocks with a fruit bud mortality rate varying from 22.5 to 35.8 %. The protected vine stocks, regardless of the type of protection used, had satislactory yields from 7.2 t/ha to 24.4 t/ha. On the other hand, the raisin yield of the vine stocks without any winter protection is null. The best raisin yields were obtained over sites where vine stocks were protected by ridging (40 cm of earth), while the vine stocks protected by leaf covering showed an average yield. We also observed that when vine stock leaf covering is coupled with lodged vine shoots, raisin yields are higher than when the vine shoots are erect. However, in both cases, potential yield per hectare is satisfactory. Hence, the lodging of vine shoots becomes a useless operation. The vine stocks protected by natural snow as well as by leaf covering (30 cm + carried over snow and lodged vine shoots) gave the fruit with the highest sugar content. Snow is also an excellent insulator because a 37 cm high snow cover permitted the survival of the vine stocks protected by snow even when the temperature reached -30 °C. The only problem still posing a threat is snow cover variability during the winter season. A reduced snow cover, coupled with temperature conditions under the threshold of tolerance of the vine to cold, could not insure satisfactory protection ol the fruit buds.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".