Breeding of Marker-free Indica Three-lines Restorer with ZmC4Ppc by Marker-assisted Selection
Bibliographic record
Abstract
Enhancing photosynthetic productivity of rice is always the key goal of researchers by to use exogenous C4 genes. The full-length of intact maize gene of C4-specific PEPCase (ZmC4Ppc) is 6781 bp that makes it difficult for marker-assisted selection (MAS) in rice. The specific marker of intact ZmC4Ppc was designed and termed as MRpc. MRpc was verified that it was a gene marker because ZmC4Ppc could be overexpressed at every developmental stage and it was used for MAS of indica restorer Shuhui881 with ZmC4Ppc and FPM881was gotten, which was tested for genetic background, PEPCase activity, net photosynthetic rate (Pn), general combining ability (GCA) and specific combining ability (SCA). The results indicated that FPM881, which similarity of genetic background had arrived at above 95%, showed a higher PEPCase activity and net photosynthetic rate than those of control. Analysis of yield components showed that some of the progenies carrying ZmC4Ppc had better GCA and SCA than those of the control. Then, six lines of FPM881 were planted in larger population by selfing and gotten selectable-marker free plants with target gene using MRpc and hpt primers. Our results indicated that introduction of ZmC4Ppc via MAS and its stable expression could increase grain yield of hybrid rice.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".