Adaptation to climate change through dense planting for sustainable agriculture
Bibliographic record
Abstract
Abstract Overuse of fertilizers increased greenhouse gases emissions, induced global climate changes and extreme weather and made future agriculture unsustainable. Engineering crops to adapt to stressed conditions is crucial. Here, we cloned a transcription factor TabZIP45 (basic region zipper), controlled by a microRNA binding site polymorphism, conferring adaptation to both nitrogen deficiency and dense planting. TabZIP45 interacted with TaFTL43 (Flowering locus T like43) to change gene expression regulation. TabZIP45 coordinated phosphatidylinositol diphosphate (PIP2) metabolism and calcium (Ca 2+ ) signaling to adapt to environmental stresses. Knockout of TabZIP45-4B by genome editing rescued grain yield loss caused by nitrogen deficiency by modulation of TaDwarf4 under dense planting through Ca 2+ signaling disruption. Thus, TabZIP45-4B edited wheat warranted a sustainable and environmentally friendly way to enhance grain yield under adverse conditions. One-Sentence Summary Calcium and lipids integrated adverse environmental signaling to modulate plant growth
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".