Linseed breeding for early maturing and dual-purpose genotypes in North-Western Himalayas
Bibliographic record
Abstract
Performance of linseed genotypes and hybrids in a series of crosses following line × tester mating design was studied for 13 agro-morphological traits involving parents having fibre, seed and dual-types. A total of 15 lines (7 indigenous and 8 exotic) and three well-adapted, early maturing indigenous testers were used for generation of new variability. Although both additive and non-additive gene effects were significant, the non-additive gene action coupled with the presence of low heritability predominated for all the traits. Genotypes Baner, Belinka and JLS-73 were the most promising parents. The highest value of heterobeltiosis and standard heterosis was observed for seed yield (226.62%) and primary branches (263.66%) per plant respectively. Based on per se performance, SCA effects and extent of heterosis the cross-combination KL-284 × JLS-73 was the most promising for dual-purpose. However, for earliness and other seed yield and related traits Ottawa × RLC-133 was the most pr
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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 | 0.000 |
| Science and technology studies | 0.001 | 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".