Construction of a high-density linkage map of Italian ryegrass (<i>Lolium multiflorum</i>Lam.) using restriction fragment length polymorphism, amplified fragment length polymorphism, and telomeric repeat associated sequence markers
Bibliographic record
Abstract
To construct a high-density molecular linkage map of Italian ryegrass (Lolium multiflorum Lam), we used a two-way pseudo-testcross F1 population consisting of 82 individuals to analyze three types of markers: restriction fragment length polymorphism markers, which we detected by using genomic probes from Italian ryegrass as well as heterologous anchor probes from other species belonging to the Poaceae family, amplified fragment length polymorphism markers, which we detected by using PstI/MseI primer combinations, and telomeric repeat associated sequence markers. Of the restriction fragment length polymorphism probes that we generated from a PstI genomic library, 74% (239 of 323) of randomly selected probes detected hybridization patterns consistent with single-copy or low-copy genetic locus status in the screening. The 385 (mostly restriction fragment length polymorphism) markers that we selected from the 1226 original markers were grouped into seven linkage groups. The maps cover 1244.4 cM, with an average of 3.7 cM between markers. This information will prove useful for gene targeting, quantitative trait loci mapping, and marker-assisted selection in Italian ryegrass.
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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 | 0.001 |
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".