Construction of an Intraspecific Linkage Map and QTL Analysis for Earliness and Plant Height in Lentil
Bibliographic record
Abstract
Earliness and plant height traits are key targets in lentil (Lens culinaris Medikus) breeding and are quantitatively controlled. Recombinant inbred lines (RILs) are useful in genetic mapping studies of quantitative traits. The objectives of this study are to develop a genetic map and identify genome regions associated with earliness and plant height using RILs derived from a cross between ‘Eston’ × PI320937. Number of days to flower and plant height at flowering were collected at two Saskatchewan locations, Saskatoon and Floral, in 2004. Two hundred and seven amplified fragment length polymorphism (AFLP), simple sequence repeat (SSRs), and random amplified polymorphic DNA (RAPD) markers were used to genotype 94 RILs. The markers were ordered into 12 linkage groups (LGs) with a total length of 1868 cM. The average density of markers was 8.9 cM. The AFLP markers were distributed throughout the genome, whereas RAPD and SSR markers were located on LG4 to LG9 only. A resistance gene to anthracnose [caused by Colletotrichum truncatum (Schwein.) Andrus & W.D. Moore] and a quantitative trait locus (QTL) to ascochyta blight (caused by Ascochyta lentis Vassilievsky) were mapped previously on LG6. Quantitative trait loci affecting earliness and plant height were identified on LG1, LG2, LG4, LG5, LG9, and LG12 at Saskatoon and Floral evaluation locations and explained 37 to 46% and 31 to 40% of the total variation, respectively. Earliness QTLs that were consistently expressed at both locations were concentrated on LG4 and LG12, and markers flanking these QTL regions could be good candidates 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".