Dry matter accumulation and allocation in spring wheat mulched with plastic film in Loess Plateau
Bibliographic record
Abstract
A 2-year field experiment was conducted to study the accumulation and allocation of dry matter in the aboveground part of spring wheat mulched and un-mulched with plastic film in semi-arid Loess Plateau.The results showed that under mulching,the maximum leaf area of individual plant increased by 17.16%,the peak value of maximum green leaf area appeared 6 days earlier,and the dry matter accumulation rate before florescence was 8.97% higher,compared with the control(un-mulching).The outputs of leaf,shoot,husk,and spike-stalk of mulched wheat were 3.23%-3.67%,3.53%-4.55%,and 1.80%-3.63% higher than those of un-mulched wheat,respectively.Comparing with un-mulched wheat,mulched wheat had higher translocation rate of dry matter from non-economic organs to the grain,higher initial growth potential,higher maximum growth rate,longer active growth stage,and shorter duration reaching the maximum growth rate,suggesting that film munched wheat had stronger growth potential,faster milking rate,and longer milking duration,which finally led to a higher grain mass and a 36% increment of grain yield.
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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) | 0.000 | 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".