A Quantitative Analysis of Resistance to Mycosphaerella Blight in Field Pea
Bibliographic record
Abstract
ABSTRACT Mycosphaerella blight, caused mainly by Mycosphaerella pinodes (Berk. and Blox.) Vestergren, is the most important foliar disease on field pea (Pisum sativum L.) in western Canada. A quantitative trait analysis of resistance to M. pinodes was undertaken on five crosses with reciprocals of P. sativum to examine broad‐sense (H2) and narrow‐sense (h2) heritability, minimum number of genes involved (MNG), midparent heterosis (MPH), cytoplasmic inheritance, and epistasis. Mean H2 was 0.75 (range 0.67–0.80) and mean h2 was 0.59 (range 0.41–0.70), indicating that additive variance is important and that improvement in resistance can be achieved through breeding. Mean MNG was 2.16 genes (range 0.06–6.22), indicating that genes for resistance differed among parent lines. Mean MPH was 50% (range 47–57%), indicating that heterosis did not influence the expression of resistance to M. pinodes There was no difference between the mean of any F1 population and its reciprocal, indicating lack of maternal inheritance. The mean of the epistatic points was −0.01 (range −0.1 to 0.12), indicating that epistasis was not important in these crosses. These results will further the understanding of the natural genetic diversity for disease resistance to M. pinodes in P. sativum
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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) | 0.001 | 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".