Morphological characterization of tomato (Solanum lycopersicum L.) genotypes
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
Most of the tomato varieties in Bangladesh are of inbred type indicating need to characterize and assess morphological variability as the resources of selection of genotypes with desired traits toward variety development. Twenty-two promising tomato inbred lines were characterized for twenty-seven morphological traits using developmental, vegetative, and fruit traits at Bangladesh Agricultural Research Institute (BARI) Bangladesh from October 2009 to March 2010. A wide range of variation was observed among 21 qualitative and 6 quantitative physico-morphological characters in the study, while 20 traits showed substantial variation among the genotypes. Every genotype showed one or more distinct characters which could be used to identify the same. The morphological data for hypocotyl color, hypocotyl pubescence, leaf type, green shoulder trips in the fruit and fruit cross-sectional shape showed valuable diagnostic characters, which can be used to differentiate the genotypes as they were predominant in the study. However, it is difficult to distinguish all the genotypes based on a single morphological trait, but can enhance tomato diversity and quality and production.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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