OVERWINTER OF GRAPEVINES FOLLOWING THE WINTER OF 2020/2021 IN NON-COVERING
Bibliographic record
Abstract
Following the winter of 2020/2021, an assess-ment was made of the overwintering of fifty-one table grapes varieties grown in non-covered culture in Novocherkassk, Rostov Region, in the vineyards of All-Russian Research Institute for Viticulture and Winemaking– Branch of Federal State Budget Scientific Institution «FRARC». In the varietal study was used the method of M.A. Lazarevsky, and generally ac-cepted in viticulture and standard technology of cultivation of plantings. Vineyards not irri-gated, grafted, planting scheme 3 × 1.5 m, root-stock Kober 5BB, the formation was the stand-ard fan type on low trunk, the planting scheme was 3 × 1.5 m. The minimum winter tempera-ture of –20.7° C was recorded on January 21, 2021, however, winter conditions were preced-ed by atypical phenomena, namely water stress: air and soil drought, complete absence of pre-cipitation in September, dust storms in October. The best resistance to winter conditions (practi-cally without damage to the buds) was shown by the Victoria variety bred by All-Russian Re-search Institute for Viticulture and Winemaking and Vineland 68042 variety bred by Canada. Varieties of Vitis interspecific cross Vostorg krasny, Novy Podarok Zaporozhye, Aladdin, Baklanovsky (control) had minor damage to the buds. Varieties of V. vinifera had almost no open buds (6,1 ‒9,5 %). Damage to bushes dur-ing winter conditions was noted on shoots that were above the snow line. Parts of plants cov-ered with snow were not significantly damaged even in non-winter hardy varieties. The study of agrobiological characteristics and the yield of damaged bushes indicates the necessity of winter covering for those varieties, that have the percentage of blossomed buds less than six-ty.
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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".