Export patterns of <sup>14</sup>C-assimilates from source leaves of C<sub>3</sub>, C<sub>3</sub>C<sub>4</sub> intermediate, and C<sub>4</sub> <i>Panicum</i> and <i>Flaveria</i> species during light and dark periods
Bibliographic record
Abstract
Source leaves of Panicum and Flaveria C3, C3C4 intermediate, and C4 species were fed 14CO2 in the mid-afternoon. Immediate export, calculated when isotopic equilibrium existed between 14CO2 and the 14C translocates, was compared with 14C export during the feed period, and both were compared with subsequent 14C export of primary reserves during daytimenighttime chase periods. Sugars and starch supported export in all species. In addition, regardless of differences in partitioning into starch and sugars during labelling, similar photosynthesis, immediate export, and daily export occurred in some Panicum C4 species. Within both genera, C4 types fixed and exported the most carbon. The Panicum "type I" C3C4 intermediates behaved in an "intermediate" manner with respect to both export during photosynthesis and daily. In contrast, compared with C3 and C4 species within the Flaveria, "type II" C3C4 intermediates had the lowest initial export during the feed period and total 14C export by the next morning. In spite of the plasticity in carbohydrate storage, export in all species was greater in the light than in the dark. Interestingly, daily 14C export correlated better with immediate export rates than with photosynthesis or other parameters of leaf function.Key words: C export, C partitioning, C3C4 intermediates, Flaveria, Panicum, photosynthesis.
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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".