Analysis of the Qualitative-quantitative Geneticmodels of Orange Color Petal Tone Value in Tagetes erecta L.
Bibliographic record
Abstract
Orange flower color is a useful indicator in Tagetes erecta L..It was used in correlative selection and purity test and was also used as a genetic traitmarker.In the present study the color quantified by tone value in order to investigate the geneticmodel of flower color.Six generations(P1,P2,F1,F2,B1and B2) from W217×W203 were analyzed with a mixed geneti cmodel for major genes and poly genes.Results showed that orange color in marigold was a quantitative trait and its inheritance fitted to a mixed genetic model of two major genes with additive-dominant-epistatic effects plus polygenes with additive-dominant-epistatic effects(E-0 model).Among them,the additive,dominant and epistatic effects of the two major genes were equally important.The effects and heritability of major genes were high with low environmental influence,and that of the polygenes were also relatively low.The estimated heritability rates of the two major genes were 49.13% in F2,84.23% in B1,74.41% in B2.The estimated inheritability rates of the polygenes were 48.25% in F2,18.24% in B2.
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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 | 0.000 | 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) | 0.001 | 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".