利用分子标记技术聚合Pi-1和Pi-2基因改良三系不育系荣丰A的稻瘟病抗性
Bibliographic record
Abstract
Blast, one of the most serious diseases of rice worldwide, usually leads to dramatic reduction in rice production and even results in complete yield loss. Breeding blast-resistant varieties is one of the most effective and economical way to control the disease. In this study, the indica rice BL122, which contained two blast resistance genes Pi-1 and Pi-2, was used as the gene donor to be crossed and then backcrossed with Rongfeng B, the maintainer line of the CMS line Rongfeng A. Five improved new maintainer lines with homozygous genotype of/9/-1 and /9/-2 were successfully developed through phenotype-based visual selection and molecular marker-assisted selection. By artificially inoculating 30 representative blast isolates collected in Guangdong province, the resistance frequency of all 5 improved maintainer lines were found to be 100%, much higher than that of the original Rongfeng B, which was only 56.67%. The improved maintainer lines also displayed high resistance to neck blast (level 1) when grown in the epidemic areas, whereas the control was susceptible to neck blast (level 7). All the improved maintainer lines were crossed and backcrossed with CMS line, Rongfeng A. According to overall agronomical trait evaluation a new CMS line, Anfeng A was developed with a pollen abortive percentage of 99.99% and healthy leaf color in the late growth stage. A number of hybrid combinations derived from Anfeng A crossed with the restoring lines displayed good blast resistance, high grain yield potential and great prospects in hybrid rice commercial production.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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; both teacher heads agree on what is shown here.
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".