The structure of productivity elements of durum wheat varieties of Saratov selection
Bibliographic record
Abstract
The objects of the study were plants of 14 varieties of durum wheat Triticum durum Desf., permitted for use at different times in the period from 1975 to 2014. An analysis of the elements of ear productivity in durum wheat plants of Saratov varieties under the conditions of 2020 was carried out. The varietal features of the development of the spike of the main shoot were revealed according to a number of characteristics: the number of spikelets in a spike, the number of grains in an ear, the weight of a grain, the number of ungrained and grained spikelets. The height of the plant and the length of the spike were measured. On the basis of the data obtained, the selection indices were calculated – the Canadian index, the Mexican index, the index of the linear density of the ear, the morphogenetic index of productivity. A cultivar with a balanced type of morphogenetic systems was revealed in terms of the elements of ear productivity – the number of spikelets, the number of caryopses and their weight – Luch 25. This cultivar is characterized by the most developed embryonic shoot among the studied cultivars, as well as the maximum length of the embryonic root system and a high growth rate root system of the seedling.
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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 | 0.000 | 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".