Wheat (Triticum aestivum L.) grain filling and dry matter partitioning responses to source:sink modifications under postanthesis water and nitrogen deficiency
Bibliographic record
Abstract
Re-translocation of stem and spike reserves was investigated in source: sink restricted wheat subjected to water and nitrogen deficiency during seed filling. Either sink or source restriction significantly decreased the amount of current photosynthesis and its contribution to grain yield and Source limitation increased stem and spike reserves contribution to seed filling process. More amount of stem reserve mobilization in source restricted vs. control and sink restricted plants indicates that at rapid grain filling stage (14 days after anthesis to physiological maturity), stem dry matter decrease to provide assimilates for kernel after defoliation. In spike halved plants, drought stress significantly decreased grain yield indicates that when the sink is restricted, postanthesis water deficiency can increase sink limitation through lower grain filling rate and dry matter allocation to grain two weeks after anthesis at beginning of rapid grain filling stage. In other hand, in spike halved plants, more nitrogen supply at anthesis increased grain yield because more dry matter allocation to grain not more current photosynthesis, But When the all leaves removed except flag leaf, more postanthesis nitrogen could not increase dry matter allocation to grain filling process, it show that postanthesis nitrogen supply increase grain yield through decrease in sink limitation than increase in source strength. Key words:, Current photosynthesis, Dry matter allocation, Grain filling rate, Stem reserves, Wheat (Triticum aestivum L.)
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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) | 0.001 | 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".