Quantitative trait loci for soil‐penetrating ability of roots in durum wheat
Bibliographic record
Abstract
Abstract Increasing root penetration (RP) ability into hard soil is important to improve drought resistance in durum wheat. Traits related to RP ability were evaluated in 110 recombinant inbred lines (RILs) derived from a cross between ‘Jennah Khetifa’ and ‘Cham1’ using paraffin‐Vaseline (PV) discs. QTL analyses were made for the number of roots penetrating the PV disc (PVRN), total number of seminal and crown roots (TRN), RP index (PVRN/TRN) and root dry weight (DW). ‘Jennah Khetifa’ had higher PVRN, RP index and root DW values than ‘Cham1’, and the RILs showed significant differences for these traits. Two closely‐linked markers, Xgwm617a and Xgwm427b , on the long arm of chromosome 6A were associated with PVRN and RP index. For root DW, a QTL was linked to marker Xgwm11 on chromosome 1B. Alleles of ‘Jennah Khetifa’ were associated with increased PVRN, RP index and root DW. No QTL was detected for TRN in this mapping population. The absence of co‐located QTLs suggested that RP ability was controlled separately from TRN and root DW. Although the population size and number of replications were small, this study helps in understanding the complexity of root growth and the potential of marker‐assisted selection for selecting genotypes with high RP ability in durum wheat populations.
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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 | 0.000 |
| 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".