Identification and Genetic Characterization of a New d10 Mutated <i>Indica</i> Rice Germplasm
Bibliographic record
Abstract
Plant architecture is a determining factor for yield of cereal crop rice. Multi-tiller and dwarf mutants are useful germplasms for the study of rice plant architecture. In this research, we investigated a new multi-tiller and dwarf mutant, Jiahecong’ai (JHCA), and compared its genetic characteristics with 6 other rice varieties or lines. Two F 2 populations were developed by crossing JHCA with Gaoliangdao 1 (GLD1) and Guangchang 13 (GC13), which were used for further studies. Our results showed that the extreme dwarf and multitiller phenotype of JHCA was controlled by a recessive locus named xmd(t) . The xmd(t) locus was fine mapped to an interval between XMd-SSR4 and XMd-SSR25 marker on chromosome 2, which spans 190 kb in length including 28 annotated genes. Allelic sequence analysis revealed that the xmd(t) of JHCA has a 40-bp deletion in D10 gene, which encodes a carotenoid cleavage dioxygenase 8 (OsCCD8) involved in strigolactone (SL) biosynthesis pathway. Further genetic analysis suggested that JHCA should be a good rice germplasm for studying plant architecture in rice as well as metabolism interactions between gibberellin and strigolactone based on the reinforcement of dwarfing effect by d10 and sd1 .
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".