The Restoring and Maintaining Characteristic among K-type and F-type Wheat Male Sterile Lines
Bibliographic record
Abstract
In order to study the pollen abortive characteristics of male sterile lines of K-type and F-type wheat and to screen their strong restorers lines and maintainers, the I 2 -KI staining method was used to observe the pollens types of sterile lines in flowering period, and 583 quality wheat varieties (lines) were hybridized with sterile lines to investigate the self-seed set ratio on F 1 of combinations. The results show that:(1)the pollen sterility rate of K-type and F-type male sterile lines were as high as 96.97% and 97.73%, respectively. The main types of pollen abortion were stained aborted tape and typical aborted tape. (2) the self-seed set ratio of K-type and F-type sterile lines (domestic) were 4.61% and 1.98%, respectively. (3) 34 self-seed set ratio of F 1 (international) were more than 100% and 11 below 20%. (4) ‘Liangxing805’, AQ001, ‘Lin7287’, ‘Jimai22’ were excellent restorer lines to K-type sterile line. ‘Bao8696’, ‘Nongda3291’, ‘Ke1201’, ‘Ji8906069’ could be used as good maintainers for K-type sterile line. ‘Bao8696’, ‘15Zhan24’, ‘Luomai23’, ‘Linyuan801’ were excellent restorer lines to F-type sterile line. ‘15Zhan11’, ‘Wenhang6’, ‘Linyu5’, ‘Fengyou8’ could be used as good maintainers for F-type sterile line. The results showed that both K-type and F-type sterile lines were completely aborted and stable, and they were easy to find good maintainer lines and restorer lines, and the latter had stronger recovery capability.
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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".