VARIABILITY OF SEEDLING TRAITS IN SEMI-DWARF AND NON-DWARF SPRING BARLEY CULTIVARS
Bibliographic record
Abstract
The aim of the present study was to study some seed and seedling characteristics and their relationship with plant height in semi-dwarf and non-dwarf spring barley varieties. The study was conducted at the Institute of Agriculture - Karnobat, Southeastern Bulgaria during the 2019 and 2020 growing seasons. Ten semi-dwarf and ten non-dwarf cultivars of spring barley from the USA and Canada were studied. The semi-dwarf cultivars showed significantly lower mean values for the length of coleoptile and seedling and seminal root number compared to non-dwarf cultivars. However, there were semi-dwarf cultivars with a coleoptile length similar to that of non-dwarf cultivars. Correlation analysis showed a significant association of plant height with seedling length and seminal root number. The rest of the seedling characteristics were uncorrelated with plant height and, hence allowing breeding for that trait without compromising high seedling vigour.
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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".