A comparison of genetic maps constructed from haploid and BC<sub>1</sub>mapping populations from the same crossing between<i>Gossypium hirsutum</i>L. and<i>Gossypium barbadense</i>L.
Bibliographic record
Abstract
Simple sequence repeat (SSR) genetic maps have been separately constructed based on doubled haploid (DH) and (or) haploid and BC1 populations from the same cross between Gossypium hirsutum L. 'TM-1' and Gossypium barbadense L. 'Hai7124'. The BC1 population was produced by pollinating individual plants of the 'TM-1' x 'Hai7124' F1 with 'TM-1', whereas the DH and (or) haploid population developed from the offspring of Vsg x ('TM-1' x 'Hai7124'). Vsg is a virescently marked semigamy line of Gossypium barbadense L. Pima. The BC1 map included 34 linkage groups with an average distance between markers of 9.80 cM (Kosambi, K) and covered 4331.2 cM (K) or approximately 78.7% of the tetraploid cotton genome constructed using 440 SSR and 2 morphological marker genes. Among them, 26 were assigned to 20 chromosomes, 7 to A or D subgenomes, and 1 was unassigned. The haploid map comprised 444 SSR markers mapped to 40 linkage groups with an average distance of 7.35 cM (K) between markers, covering 3262.9 cM (K) or approximately 60.0% of the tetraploid genome. Twenty-nine linkage groups were assigned to all 19 identified chromosomes, 10 to A or D subgenomes, and 1 was unassigned. Fairly good collinearity of marker order was observed along most of the chromosomes or linkage groups. Significant differences in recombination between maps was observed at the chromosomal and genomic level and possible reasons were discussed. Map comparison and combined data provided an essential basis for further mapping of interested genes and QTLs and for studies of diversity, population structure, and phylogeny in Gossypium species.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.002 | 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".