Optimization of ammonium acquisition and metabolism by potassium in rice (<i>Oryza sativa</i>L. cv. IR-72)
Bibliographic record
Abstract
ABSTRACT We present the first characterization of K(+) optimization of N uptake and metabolism in an NH(4)(+)-tolerant species, tropical lowland rice (cv. IR-72). (13)N radiotracing showed that increased K(+) supply reduces futile NH(4)(+) cycling at the plasma membrane, diminishing the excessive rates of both unidirectional influx and efflux. Pharmacological testing showed that low-affinity NH(4)(+) influx may be mediated by both K(+) and non-selective cation channels. Suppression of NH(4)(+) influx by K(+) occurred within minutes of increasing K(+) supply. Increased K(+) reduced free [NH(4)(+)] in roots and shoots by 50-75%. Plant biomass was maximized on 10 mm NH(4)(+) and 5 mm K(+), with growth 160% higher than 10 mm NO(3)(-)-grown plants, and 220% higher than plants grown at 10 mm NH(4)(+) and 0.1 mm K(+). Unlike in NH(4)(+)-sensitive barley, growth optimization was not attributed to a reduced energy cost of futile NH(4)(+) cycling at the plasma membrane. Activities of the key enzymes glutamine synthetase and phosphoenolpyruvate carboxylase (PEPC) were strongly stimulated by elevated K(+), mirroring plant growth and protein content. Improved plant performance through optimization of K(+) and NH(4)(+) is likely to be of substantial agronomic significance in the world's foremost crop species.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".