Agronomic Traits and Fungal Diversity between Commercial and Non-commercial Sorghum Fields
Bibliographic record
Abstract
Sorghum is a vital crop, especially in drier tropical regions, where it supplies the daily caloric needs for people. However, the productivity and profitablity of crop are hampered by several biotic stresses, including grain mold. Grain mold disease complex is associated with several fungal genera, including those that are mycotoxigenic. The aim of this research was to compare grain mold severity, 100-seed weight, germination rate, and mycoflora of seeds collected from non-commercial and commercial sorghum fields in Burleson County, Texas, Grain mold severity was based on a scale of 1-5, germination rate was based on the percentage of 100-seeds per replicate, and identification of the fungal species under microscope was based on the conidia, conidiophores, colony morphology, and color. Overall, seeds collected from commercial fields exhibited lower grain mold severity and higher seed weight, while seeds from non-commercial fields had higher percent germination rates. The mycoflora analysis of seeds obtained from both non-commercial and commercial fields revealed the occurrence of many microorganisms, as: Alternaria alternata, Bipolaris spp., Curvularia lunata, Aspergillus niger, Colletotrichum sublineola, and other unidentified fungal species and bacterial strains. All identified microorganisms except for A. niger were detected in samples from non-commercial and commercial fields; A. niger (1%) was only recovered from non-commercial fields., In conclusion, lower grain mold infection and higher seed weight were observed in commercial fields when compared to non-commercial or research plots, while percent seed germination rate was higher in non-commercial fields.
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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".