Tomato plant architecture as affected by salinity: Descriptive analysis and integration in a 3-D simulation model
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
Limited information is available on the effect of salinity on plant architecture; not only on final plant height, number of leaves, and leaf area, but also on plant growth and development from the leaflet to the whole plant scale. Tomato plants ( Solanum lycopersicum L. ‘Marmara’) were grown in greenhouses at four salinity levels (4, 7, 10, and 13 mS·cm –1 ). Plant development (leaf and inflorescence initiation), leaf growth rate, and final leaf dimensions were measured along the stem according to leaf rank and treatment. A decrease in leaflet growth and in the number of leaflets per leaf was associated with a lower growth rate and longer growth period in salinity stressed plants. Stem internode length was also reduced by salinity. At the plant scale, plant height and leaf area decreased with an increase in salinity. These parameters were the main inputs of a 3-D model of plant architecture, which enabled a complete description of plant architecture from the elementary to the canopy scale. This model of plant architecture was evaluated by comparing hemi-spherical photos of the plant taken with a camera with those generated by the model. The model was used to estimate light interception which should be useful to calculate photosynthesis at the plant scale.
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 | 0.000 | 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