Correlation and Cluster Analysis of Agronomic Characters of 115 Waxy Corn Varieties
Why this work is in the frame
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Bibliographic record
Abstract
In order to provide basis for high-yield and high-efficiency cultivation and selection and utilization of variety resources of waxy corn, nine agronomic traits of 115 waxy corn varieties were analyzed, and cluster analysis of 115 waxy corn varieties was conducted here. The results showed that ten pairs of agronomic traits showed extremely significant correlation meanwhile six pairs exhibited significant correlation. The genetic diversity analysis showed that the genetic variation of the tested materials was rich, the genetic basis was wide, the coefficient of variation of bald tip length (399.91%) was highest, followed by ear height (15.96%) and rows per ear (10.94%). The genetic diversity index of plant height (2.069) was highest, followed by ear height (2.063) and ear yield (2.053). 115 waxy corn varieties were further clustered into eight groups at distance of 55 by Euclidean distance and the furthest neighbor method. Among them, overall characteristics of group Ⅱ was fine, such as high yield, short growth period, low plant height and ear height and moderate corncob. The group Ⅵ has the highest yield, the largest ear type, the longest growth period and the highest plant. The growth period of group Ⅶ is the shortest, the yield is the lowest, and other characters are also in the lowest position.
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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 it