Genetic dissection of quantitative trait loci for spikelets compactness in two Yanzhan1‐derived recombinant inbred line wheat populations
Bibliographic record
Abstract
Abstract Spikelets compactness (SC) plays an important role in the yield improvement and Fusarium head blight (FHB) resistance of wheat. In this study, 151 recombinant inbred lines (RIL) derived from a cross between Yangmai 4 (YM4) and Yanzhan 1 (YZ1) and 143 RIL derived from a cross between Yangmai 5 (YM5) and YZ1 were used to construct two wheat hexaploidy genetic linkage maps, evaluate SC across three years and identify quantitative trait loci (QTL) for SC. A total of seven QTL were identified in two populations and explained the phenotypic variation ranging from 6.27% to 22.49%. Four QTL were co‐located in two genomic regions on chromosomes 2D and 6B, namely, QSc‐2D and QSc‐6B , respectively. Comparison analysis showed that QSc‐6B is a novel QTL, whereas QSc‐2D was located in the interval of Rht8 . Significant additive effects of QSc‐2D and QSc‐6B on SC were observed in two RIL populations. Moreover, the positive alleles of these two QTL extremely significantly increased grain number per spike (GNS) but did not have a significantly negative effect on thousand‐grain weight (TGW), kernel length (KL) and kernel weight (KW). Whether in spray or point inoculation, QSc‐6B did not significantly influence FHB resistance in two populations. However, QSc‐2D significantly affected FHB resistance in spray inoculation in YM4/YZ1 population. A breeder‐friendly Kompetitive Allele‐Specific PCR (KASP) marker KASP_6B for QSc‐6B has been developed and verified in a set of 181 wheat cultivars/lines. Furthermore, we preliminary analysed the candidate genes within the physical interval of QSc‐6B by sequence similarity, spatial expression patterns and collinearity analysis. TraesCS6B03G1206900 , TraesCS6B03G1214800 and TraesCS6B03G1218300 show specific expression in spikelet. These results provide valuable information for map‐based cloning of QSc‐6B and a useful tool for wheat breeding.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".