STUDY AND SELECTION OF RAW MATERIAL FOR THE CREATION OF VARIETIES AND HYBRID POPULATIONS OF ALFALFA THAT ARE TOLERANT TO HIGH ACIDITY OF SOIL SOLUTION
Bibliographic record
Abstract
The study of collecting samples of alfalfa of different ecological and geographical origin for the collection of dry matter and seed yield on the background of high acidity of soil solution (pH 5,20-5,53) made it possible to identify perspectives for these indicators that can be used in further breeding work. The highest dry matter yield in the average of 3 years of research was obtained from the varieties Vavilovka (Rodnich) (Ukraine) (1.42 kg / m2), Banat (Serbia) (1.36 kg / m2) and Sowing 3022 (Uzbekistan) (1,22 kg / m2) at the yield of the Sinyukh standard of 1.08 kg / m2. Seeds of Zhidrune (Lithuania) (31.9 g / m2), Ferrax 58 (Canada) (29.9 g / m2) and Tibet (Kazakhstan) (28.5 g / m2) with yield of standard 23.5 g / m2 were the best seeds. Particularly noteworthy is Ferrax 58 (Canada), which has significantly exceeded the standard of seed yield and exceeded or exceeded the standard of dry matter during all years of research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".