Growth capacity in wild tomatoes and relatives correlates with original climate in arid and semi-arid species
Bibliographic record
Abstract
Wild tomatoes and relatives (Solanum sect. Lycopersicon, sect. Lycopersicoides and sect. Juglandifolia) constitute a recently derived clade inhabiting a wide range of habitats across latitudinal and altitudinal axes in South America, with important variation in plant morpho-physiological traits. It is not clear to what extent growth capacity and related traits depend on phylogenetic constraints, or are driven by each species’ adaptation to the climate of origin. The use of wild tomatoes to improve the adaptation of the domesticated species to variable environmental conditions requires knowledge on which wild species are most suitable for growth capacity improvement. Under common garden conditions, results show that the relative growth rate (RGR) in the tomatoes is better determined by its physiological (net assimilation rate, NAR) rather than morphological (leaf area ratio, LAR) component. Moreover, RGR is correlated with the climate of origin in arid and semi-arid habitat species, and display different biomass allocation strategies depending on the climate, particularly related to the green and senescent leaf fractions. When grown under the same conditions, the domesticated tomato showed important differences in leaf size and leaf mass per area (LMA) as compared to its wild relatives, suggesting modifications related to the domestication process. Several semi-arid species appear as suitable species to improve the domesticated tomato growth capacity under more arid cultivation conditions, as those predicted by climate change.
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.
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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".