Root system development and architecture in various genotypes of the Solanaceae family
Bibliographic record
Abstract
We present an extensive, dynamic, and quantitative study of the root system architecture of Solanaceae based on 29 genotypes from three important groups (aubergines, capsicums, and tomatoes). Quantitative traits were essentially obtained from measurements made on high resolution images of different plant parts at several stages. The developmental schema was common to all genotypes. Several traits showed significant genetic variations: root apical diameter (reflecting meristem size), interbranch distances, slopes of the regression lines of elongation rate versus apical diameter, and ratios of diameters of laterals to mother roots. On all genotypes, the initial root system was complemented by a strong adventitious system emerging near the plant collar, made up of a set of fast growing roots with large apical diameters. Correlations between traits were evidenced within the root systems on one hand (e.g., interbranch distance and diameter ratio of laterals to their mother) and between shoot and root on the other hand (e.g., leaf area growth rate and root elongation rate). They revealed both trade-offs in developmental processes and coordination between plant parts. Beyond these results, we demonstrated the importance of characterizing phenotypes through multiple criteria, considering the whole plant and including late stages.
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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".