Correlation for Yield and Yield Related Trait in Mutant and Segregating Genotypes in Sunflower (<i>Helianthus annus</i> L.)
Why this work is in the frame
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Bibliographic record
Abstract
146 genotypes including 46 mutant and 100 segregants of sunflower were selected for the character association study to assess the relationship among yield and its components. Observations were recorded on six traits viz., 50% flowering, days to maturity, plant height, head diameter, 100-seed weight and seed yield per plant. Character association analysis revealed strong positive association of head diameter and 100-seed weight with seed yield per plant Hence simultaneous selection of these characters would contribute for the seed yield per plant improvement. And this association study revealed the need of development of early and dwarf mgenotype for improvement of seed yield per plant.
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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 | 0.000 | 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 it