Morphological Characterization and Estimates of Genetic Parameters in Peppers With Ornamental Potential
Why this work is in the frame
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Bibliographic record
Abstract
The low number of ornamental pepper cultivars available in the market, combined with a high demand for this ornamental product, has boosted breeding programs for this crop. The objective was to morphologically characterize, estimating the genetic parameters of the main variables of ornamental importance in an F2 population of pepper (C. annuum). The experiments were conducted in a greenhouse at the experimental area of the State University of Montes Claros, Janaúba campus, MG, Brazil. The accessions Uni01 and Uni07 were used as parents to obtain F1 generations and, subsequently, a F2 population; 333 genotypes from the F2 generation were evaluated using 19 qualitative and five quantitative descriptors correlated to important characteristics for varietal description and ornamental use. Five fruits per plant were used to evaluate fruit characters: mean fruit weight, mean fruit length, mean fruit diameter, mean peduncle length, and mean pericarp thickness. The genetic parameters of quantitative descriptors were estimated using mean square expected values obtained through Anova. The genetic variability found can be explored for most evaluated characteristics. The quantitative descriptors related to fruit characteristics, based on heritability estimates, can be considered for selection.
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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 | 0.001 |
| 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) | 0.000 | 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 it