Variation of Parameters of Grain Filling and Correlation Analysis with Grain Weight in Wheat
Bibliographic record
Abstract
Five wheat varieties were used to study the correlation between parameters of grain filling and 1000-grain weight in wheat.Grain filling process was imitated by logistic model,and the specific property of grain filling was investigated by correlation analysis.The results indicated that there were significant variance among the filling parameters in different filling period.The variance of T1 and T3 were higher than the others,while Tmax,T and T2 were relatively stable,and the CV of R1 and R3 were higher than the others,which showed that R3 was affected by environment easily;there was significantly positive correlation between T R and 1000-grain weight,the two parameters of T and R had great effect on 1000-grain weight,and the effect of R was greater than T,T value,R value,grain filling rate(R2)and time(T2)at fast-increase filling period,grain filling rate(R3)and time(T3)at slow-increase filling period affected 1000-grain weight(Y)notably.Breeding variety with high filling rate in fast-increse period and average filling rate,and matching suitable cultivation measures to coordinate contradiction between filling rate and time,could realize the object of increasing grain weight.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".