Effect and breeding potential of qSB-11<sup>LE</sup>, a sheath blight resistance quantitative trait loci from a susceptible rice cultivar
Bibliographic record
Abstract
Zuo, S., Yin, Y., Zhang, L., Zhang, Y., Chen, Z., Gu, S., Zhu, L. and Pan, X. 2011. Effect and breeding potential of qSB-11LE, a sheath blight resistance QTL from a susceptible rice cultivar. Can. J. Plant Sci. 91: 191–198. Sheath blight (SB) caused by Rhizoctonia solani is one of the most important diseases of rice worldwide. The QTL qSB-11LE, located on chromosome 11 of an SB-susceptible Oryza japonica rice cultivar Lemont, was identified in previous studies. In this study, its effect on SB resistance and its potential in breeding programs were evaluated using a set of near-isogenic lines (NILs) that exhibit three different genotypes at the qSB-11LE locus and seven backcross populations. Results of field disease evaluation under artificial inoculation showed that the inheritance of resistance of qSB-11LE to SB is controlled by additive gene action and that the genes have a dosage effect on SB resistance. In greenhouse evaluations, the resistance effect of qSB-11LE was expressed at 11 and 14 d after inoculation at the tillering stage. Analysis of field resistance of six BC1F1 populations and one BC2F1 population, developed from the backcrosses between Lemont as the donor parent and six commercial O. indica rice cultivars as recurrent parents, indicated that qSB-11LE could be effectively used to enhance these cultivars’ SB resistance. These observations suggest that the qSB-11LE has considerable potential in rice breeding for resistance to SB, and that its flanking molecular markers could be employed in practical breeding programs for marker-assisted selection.
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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 | 0.000 |
| 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 | 0.001 |
| 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".