Exploiting Yield Potential in Tomato (<i>Solanum lycopersicum</i> L.) through Heterosis Breeding
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Eleven lines and four testers of tomato were crossed in Line×Tester design to estimate extent of heterosis for fruit yield, and processing qualities. The present investigations were carried out at Vegetable Research Farm, Department of Vegetable Science, Punjab Agricultural University (PAU), Ludhiana, Punjab, India. The experimental materials were laid down in randomized complete block design with three replications. The results revealed that analysis of variance indicated highly significant differences for all the characters suggesting the presence of genetic variability among the studied materials. The cross combination Sel 12-1-16×55-26-1-1 was found heterotic over better parent and check NS 524 for yield and its traits. The other promising heterotic hybrids were Sel 12-1-16×115-1-8-1, 2-1×PVB-2, PVB-1×55-26-1-1. These heterotic hybrids found superior over better parent and standard check have the potential to be exploited commercially.
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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