Genetic maps of SSR and SRAP markers in diploid orchardgrass (<i>Dactylis glomerata</i>L.) using the pseudo-testcross strategy
Bibliographic record
Abstract
Orchardgrass (Dactylis glomerata L.) is one of the most important cool-season forage grasses commonly grown throughout the temperate regions of the world. The objective of this work was to construct a diploid (2n = 2x = 14) orchardgrass genetic linkage map useful as a framework for basic genetic studies and plant breeding. A combination of simple sequence repeat (SSR) and sequence-related amplified polymorphism (SRAP) molecular markers were used for map construction. The linkage relationships among 164 SSRs and 108 SRAPs, assayed in a pseudo-testcross F1 segregating population generated from a cross between two diploid parents, were used to construct male (01996) and female (YA02-103) parental genetic maps. The paternal genetic map contains 90 markers (57 SSRs and 33 SRAPs) over 9 linkage groups (LGs), and the maternal genetic map is composed of 87 markers (54 SSRs and 33 SRAPs) assembled over 10 LGs. The total map distance of the male map is 866.7 centimorgans (cM), representing 81% genome coverage, whereas the female map spans 772.0 cM, representing 75% coverage. The mean map distance between markers is 9.6 cM in the male map and 8.9 cM in the female map. About 14% of the markers remained unassigned. The level of segregation distortion observed in this cross was 15%. Homology between the two maps was established between five LGs of the male map and five LGs of the female map using 10 bridging markers. The information presented in this study establishes a foundation for extending genetic mapping in this species, serves as a framework for mapping quantitative trait loci (QTLs), and provides basic information for future molecular breeding studies.
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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".