Correlations among Agronomic Traits Obtained from Sorghum Accessions Planted in a Field Infected with Three Important Fungal Diseases
Bibliographic record
Abstract
A total of 179 sorghum cultivars planted in replicated plots in Isabela, Puerto Rico, were evaluated for five agronomically important traits grain yield, seed weight, panicle height, panicle length, and flowering time. This study identified the top cultivars in each trait through statistical analysis. In a previous study, the reaction of the same cultivars to anthracnose, rust, grain mold, and germination rates was determined. Combining the five traits in this study and the previous four measured traits, a correlation analysis among the nine traits was conducted. The results revealed that there are significant correlations between a few paired traits. Correlations such as panicle height and rust infection (Spearman’s ρ= 0.36), panicle height and grain mold infection (Spearman’s ρ= -0.30), germination rate and panicle height (Pearson’s r= 0.31), germination rate and panicle length (Pearson’s r= 0.27), panicle length and panicle height (Pearson’s r= 0.52), flowering time and panicle height (Pearson’s r= 0.65), and flowering time and panicle length (Pearson’s r= 0.50) were found.
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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 | 0.001 | 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".