Influence of Diurnal Temperature Range on the Development of Fiber Cells in Flax (Linum usitatissimum)
Bibliographic record
Abstract
Three flax (Linum usitatissimum L.) cultivars ('Ariane', 'Argos' and 'Viking') were used to study the effect of diurnal temperature range (DIF) applied throughout the whole growth stage on the development of fiber cells.Diurnal temperature ranges were set at 5C, 10C and 15C with the same daily mean temperature and accumulated growing degree days (GDDa).All measured traits showed obvious DIF and varietal differences except the length of fiber bundle (LFB) and the inter-fiber bundle distance (IFBD).Significant interactions of DIF and cultivar were observed to affect the width of fiber bundle (WFB), the size of fiber cell (SFC), the size of fiber cell cavity (SFCC) and the thickness of fiber cell wall (TFCW).Compared with other DIFs, the number of fiber cells per bundle (NFCB) and WFB increased, but IFBD decreased under DIF 5.However, WFB, TFCW and NFCB all decreased under DIF 10.Under DIF 15 condition, both SFC and SFCC increased.For 'Ariane', IFBD was short under DIF 5, but SFC and SFCC were both large under DIF 10.For 'Argos', IFBD was also short under DIF 5.Under DIF 10, WFB, SFC and TFCW were all small, but IFBD was long.For 'Viking', TFCW was small under DIF 10 but large under DIF 15.All these results suggested a definite influence of DIF on the development of fiber cells in flax, and DIF set at 5°C benefited the number of fiber cells in a bundle but DIF 15 was optimal for the size of fiber cells.
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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 | 0.000 | 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 | 0.001 |
| 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".