Heterobeltiosis, potence ratio and genetic control of processing quality and disease severity traits in tomato
Bibliographic record
Abstract
Five inbred lines of tomato were crossed in a half diallel fashion to estimate the combining ability, mode of gene action, extent of heterobeltiosis and dominance effects in the inheritance of fruit yield, processing qualities and disease severity traits. A preponderance of non‐additive gene action was detected for all studied characters except fruit weight, indicating that heterosis breeding is an appropriate strategy for their improvement. Maximum heterobeltiosis was observed for the percent disease index (PDI) of tomato leaf curl viruses (ToLCV), followed by the number of locules per fruit, PDI of early blight, fruit yield per plant, lycopene content of fruit, vitamin C content of fruit, total soluble solids content of fruit and acidity content of fruit. Partial‐ to over‐dominance effects were involved in the inheritance of the studied traits. Three lines (CLN 2777E, BCT‐115 and CLN 2777F) were identified as potential donors. We recommend that two hybrids (CLN 2777 F × CLN 2777 E and CLN 2777E × Ailsa Craig fulgens) would be appropriate for commercial use following further evaluation of their traits, as they exhibit desirable horticultural traits, particularly in the tropics.
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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 | 0.001 | 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".