The source material of soft spring wheat for improving the quality of grain and resistance to lodging
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Northern Trans-Urals is a region of intensive agriculture that needs high-yielding varieties that are resistant to lodging and a-biotic environmental factors, forming high-quality grain. In this respect, as a starting material for breeding, Canadian varieties with good technological indicators of grain and Norwegian varieties with high resistance to lodging and well-expressed economic and valuable characteristics are of interest. An important indicator when creating wheat varieties is the resistance to pre-harvest germination of grain on the root. The conjugacy of this feature with the yield is high and is expressed negatively - r = -0.922. Among the studied cultivars, Demonstrant (Norway) and 5603HR (Canada) stand out for their resistance to grain germination in the ear. Norwegian varieties are characterized by multi-grain ear, fine grain and compacted ear. Marker traits of drought resistance – the length of the upper internode and the removal of the ear, are better expressed in the standard of Omskaya 36, varieties of local selection and varietals - Laban and GN 06600 (Norway). In arid conditions, these varieties have a more pronounced yield. The best in this respect is Kazakhstan one - Astana (2.27 t/ha). The intensity was highlighted by the variety - GN 06600 (Norway) - 5.05 t/ha. The revealed conjugate relationships in the studied traits allow to purposefully conduct breeding work.
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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 | 0.001 | 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 it