Distribution of Fertility Genes for Nian-type Cytoplasm Male Sterile Line in Wheat
Bibliographic record
Abstract
The distribution and restoring property of the Nian-type cytoplasm fertility restoring genes in 309 wheat varieties which come from different areas were studied using the testers K-90-110,V-90-110,Ven-90-110,B-90-110,K-224,V-224,Ven-224,B-224.The results showed:(1) The fertility restoring genes of Nian-type cytoplasm male sterile wheat were possessed in most of wheat varieties,the frequency of the combinations with high restoring ability was 45.24%.(2) The seed-setting rates of F1 were tested and they varied from 0 to 91.35%,but most of them were 0 or the rage of 60%～80%.(3) The restoring lines which their fertility of F1 were between 50%～80% are abound in 6 areas and the percentage of them are over 50% in South of China,Xinjiang and Qinghai-Tibet.The varieties with maintaining ability are highly distributed in Huang-huai-hai zone and Canada but fewest in Xinjiang.(4)The varieties which their restoring ability are over 80% distributed in every wheat planting region,but the proportions are all lower.
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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) | 0.001 | 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 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".