Resistance to Red Rot Disease (Colletotrichum falcatum) Varies among Different Germplasm Sources of Sugarcane
Bibliographic record
Abstract
Resistance of sugarcane varieties to red rot disease is essential for their successful commercial cultivation in Pakistan. Evaluation of sugarcane germplasm for red rot resistance is a basic component of the varietal development system in Punjab. The studies on varietal screening against red rot disease of exotic sugarcane germplasm were conducted at the research farm of the Sugarcane Research Institute, Faisalabad from 2008–2009 to 2010–2011. The screening test was carried out at different varietal development stages including sugarcane nursery-2, nursery-3, semi-final varietal trial, final varietal trial and National Uniform Yield Trial by using plug method of inoculation. In three years, 724 sugarcane genotypes were examined in screening test against red rot disease, which were developed from germplasm (fuzz), imported from different sugarcane breeding organizations of the world. Fuzz is a true seed of sugarcane used to develop new sugarcane variety(ies) through repeated selection in any varietal development program. The results of three years experimentation revealed that 425 genotypes were resistant, 141 moderately resistant, 48 moderately susceptible and 110 susceptible to red rot disease. It was also concluded that sugarcane germplasm belongs to the USA, proved to be superior for resistance to red rot disease with 91% genotypes followed by Brazil and Australia with 86 and 68% genotypes, respectively, which were classified in resistant and moderately resistant category.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".