Genetic analysis of some agronomic traits in flax (Linum usitatissimum L.).
Bibliographic record
Abstract
A complete diallel cross using eight flax genotypes including four Iranian breeding lines and four Canadian genotypes was carried out to estimate genetic parameters for days to flowering, days to maturity, plant height, primary branches per plant, number of capsules per plant, number of seeds per capsule, seed yield per plant, 1000-seed weight, seed yield and harvest index. Analysis of variances for the studied traits indicated highly significant differences among the genotypes. Significant general combining ability (GCA), specific combining ability (SCA) and reciprocal effects revealed meaningful contributions of additive, non-additive type of gene actions and maternal influence in governing the traits. The results showed that additive gene actions had greater effects on inheritance of days to flowering, days to maturity, plant height, primary branches per plant and 1000-seed weight. However, number of capsules per plant and number of seeds per capsule were largely controlled by dominance genetic effects, whereas both additive and non-additive gene actions were important in genetic control of harvest index, seed yield per plant and seed yield. The parental lines KH124, KO37, AH92 and SE65 exhibited positive and significant GCA effect on both seed yield per plant and seed yield. Parent KO37 also had the highest negative GCA for early flowering, early maturity and plant height. A considerable heterosis was also observed for the studied traits in some cross combinations and the highest heterobeltiosis values of 64.1, 35.2, 21.6, 77.2 and 91.3% were obtained for number of capsules per plant, number of seeds per capsule, 1000-seed weight, seed yield per plant and seed yield, respectively. These results imply the potential of producing superior cultivars through selection in segregating populations or heterosis breeding, providing that the technical problems hampering economical production of hybrid seeds in flax could be overcome.
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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".