Temperature affects dry matter production and net carbon exchange rate of lower-ploidy <i>Fragaria</i> species and species hybrids
Bibliographic record
Abstract
Wild species can contribute to a breeding program through their wide adaptability to a range of habitats. In interspecific crosses it is not known how these species may interact in the hybrids. The dry matter production and net carbon exchange rates (NCER) of four lower-ploidy Fragaria species, four species hybrids (synthetic octoploids, SOs) and two cultivars (Allstar and Jewel) were compared under three day/night temperature regimes, low (15°C/10°C), medium (23°C/18°C) and high (30°C/25°C) in growth cabinets. Light intensity was maintained at 425 µmol m -2 s -1 and day length at 14 h. The wild Fragaria species had the highest NCERs across all temperature regimes. High temperatures had a depressing effect on plant dry weight for most genotypes. However, F. nubicola and SO 8245 produced 15 and 33%, respectively, higher plant dry weight at the high temperature compared with the low temperature treatment. Net carbon exchange rates for most species and synthetic octoploids were not significantly affected by high temperature. However, SO 8212 did not survive the high temperature treatment. The lower ploidy Fragaria species can be used to create synthetic octoploids that can maintain net carbon exchange rates and produce plant dry weights that are comparable with those of Fragaria cultivars. The ecological background of the species did not have a negative impact on the plant dry weight and NCER of the synthetic octoploids. Some of the SOs may be sources for improvement of Fragaria cultivars for dry matter production at higher temperatures.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".