Development of a set of near isogenic and backcross recombinant inbred lines containing most of the<i>Lycopersicon hirsutum</i>genome in a<i>L. esculentum</i>genetic background: A tool for gene mapping and gene discovery
Bibliographic record
Abstract
A novel population consisted of a set of 99 near isogenic lines (NILs) and backcross recombinant inbred lines (BCRILs) derived from a cross between the cultivated tomato Lycopersicon esculentum cv. E6206 and L. hirsutum accession LA1777 is presented. Most of the lines contain a single defined introgression from L. hirsutum in the L. esculentum genetic background and together, the lines provide a coverage of more than the 85% of the L. hirsutum genome. These lines represent a new tool to uncover the genetic resources hidden in L. hirsutum as well as to study the genes responsible of its unique biology. Furthermore, the study of the allelic frequency and heterozygosity among BCRILs showed that specific genomic regions were likely subjected to unintentional selection pressures during the stock development. Genes involved in the reproductive behavior and (or) pollen viability are hypothesized to be responsible for these alterations.Key words: germplasm, near isogenic line, tomato, genetic resources.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".