Identification of QTLs for capsaicinoids, fruit quality, and plant architecture-related traits in an interspecific <i>Capsicum</i> RIL population
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Bibliographic record
Abstract
Quantitative trait loci (QTL) analyses in pepper are common for horticultural, disease resistance, and fruit quality traits; although none of the studies to date have used sequence-based markers associated with genes. In this study we measured plant architectural, phenological, and fruit quality traits in a pepper mapping population consisting of 92 recombinant inbred lines derived from a cross between Capsicum frutescens acc. 2814-6 and C. annuum var. NuMexRNAKY. Phenotypic measurements were correlated to loci in a high-density EST-based genetic map. In total, 96 QTL were identified for 38 traits, including 12 QTL associated with capsaicinoid levels. Twenty-one loci showed correlation among seemingly unrelated phenotypic categories, highlighting tight linkage or shared genetics between previously unassociated traits in pepper.
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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 | 0.000 |
| 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 it