USE OF tSOZYME COMPOSITION OF SEED TO QUANTIFY RESISTACE OF FLAX CULTlVARS TO POWDERY MILDEW DISEASE
Bibliographic record
Abstract
A field trial was conducted in 2002/2003 and 2003/2004 growing seasons at Giza Agricultural Research Station to evaluate the reactions of ten flax cultivars to powdery mildew (PM) disease, In general, the tested cultivars could be divided into four distinct groups, i.e., highly resistant (Ottawa 770 El. Dakota, and Bombay), resistant (Cass, Wilden, and Clay), susceptible (Koto and Marshall), and highly susceptible (Cortland and C1. 2008). The cultivars showed consrderable variatlon in disease severity (DS) ranged from 3.69 on Bombay to 100% on CL 2008. lsozymes of malate dehydrogenase (MDH). peroxidase (PRX) and esterase (EST) of cultivar seed were separated by polyacrylamide gel electrophoresis (PAGE), and the obtained banding patterns were visualized by using three staining systems. Data for PM severity (dependant vanable). and amounts of isozymes (independent variables or predictors) were entered Into a computerized stepWise multiple regression analysis, Using the predictors supplied by stepwise regression three models were constructed to quantify PM severity. Coefficient of determination (R ) values of the models were 98.67, 83.46, and 83 46% for MDH, PRX and EST, respectively. These results indicate that PAGE of isozymes may provtde a supplementary assay to greenhouse and field tests to distinguish quantitatively between PM resistant or susceptible cultivars.
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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 | 0.000 | 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 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".