Research on Improvement of Callus Induction Efficiency in Anther Culture of Winter Wheat(Triticum aestivum L.)
Bibliographic record
Abstract
For further improving the efficiency of anther callus induction,twelve F1 hybrids of winter wheat from Huang-Huai wheat areas were used for anther culture.The effects of different basal media,culture methods,anther density and the number of co-culture ovaries were examined on wheat anther callus induction and differentiation.The results showed that:1.The CHB medium had the best effect on anther callus induction,the C17 medium took the second place,while the N6 medium as well as the W14 medium had poor effects,and the different genotypes had various response at the different media,but most of the genotypes on the CHB and C17 medium had a better response.2.Low concentration of 2,4-D(0.5 mg/L) was favourable to forming embryoid and direct regeneration plantlet on the induction medium compared with the higher 2,4-D concentration(2.0 mg/L).3.When anther cultured in liquid medium,the callus induction rate was the highest,but the differentiation of the callus was inhibited,the callus induction rate was the lowest in solid medium and double layer medium,while the induction and regeneration of callus was better by semisolid medium culture which was a better culture method for wheat anther culture.4.Within experimental anther density,our results indicated that the inclusion of ovaries in the induction medium significantly increased the induction efficiency of anther calli in two winter wheat genotypes tested.When the anther inoculation density was low(2-2.4 anthers per mL),about 20 ovaries per culture bottle could obviously promoted inductive effect of calli,while the anther inoculation density was middle or high(4-4.8 or 6-7.2 anthers per mL),more than 10 or 10 ovaries had a better induction effect.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".