Genetic Behavior of Purple-leaf Characteristics of Rice CMS Line Xianhong A and It's Application Prospect
Bibliographic record
Abstract
In order to study the genetic behavior of the purple-leaf characteristics,a new purple-leaf marker rice CMS line Xianhong A(B) was crossed and backcrossed with different types of indica and japonica lines with normal green leaves.The results showed that the purple leaf color of Xianhong A(B) was controlled by one pair of purple genes,and there were 1 to 2 pair of inhibitory genes could regulate the purple genes expres-sion in normal green color lines.The purple leaf color characteristics of Xianhong A(B) and the green leaf col-or characteristics of F1 combinations were stable in different environment and cultivation conditions.The pur-ple-leaf characteristics of Xianhong A was the best available seedling marker for hybrid rice seed purity identi-fication and anti-contamination and purity preserving in production.Among the hybrids derived from Xianhong A,both good plant type and strong heterosis combinations in grain yield all could be selected,and xianhong A had good application prospect in rice seed production.
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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".