Genetic Diversity of Involved Varieties and Improvement of Elite Restorer of Indica Rice (<em>Oryza sativa</em> L.) Using Backcross Introgression
Bibliographic record
Abstract
To make reference to cross combinations and improvement of parents, the genetic diversity and relationship among 55 rice germplasms were analyzed with a total of 53 SSR markers. In the present study, 267 allelic variations were detected, and the average allelic variation of 53 loci was 5.04, ranging from 4 to 7. The average polymorphism index content (PIC) of SSR markers was 0.624, ranging from 0.287 to 0.786. All germplasms could be divided into indica and japonica rices, the genetic similarity between them varied from 0.588 to 0.996. The similarity coefficient between Minghui 86 and 53 donors was from 0.655 to 0.850. The similarity coefficient between Shuhui 527 and the donors was from 0.640 to 0.873. The results indicated that the detection of SSR polymorphisms was not only one of the most efficient and accurate measures to study the genetic differences among rice varieties but also was helpful for the discovery and utilization of favorable genes in advanced-backcross introgression populations.
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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 | 0.000 |
| 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".