Identification of Mycosphaerella Blight Resistance in Wild <i>Pisum</i> Species for Use in Pea Breeding
Bibliographic record
Abstract
ABSTRACT Mycosphaerella blight caused by Mycosphaerella pinodes (Berk. and Blox.) Vestergren is the most important disease of pea (Pisum sativum L.) in the world. It reduces seed yield and quality and limits the areas where field pea can effectively be grown. Extensive studies have failed to identify high levels of resistance. However, some accessions of Pisum fulvum Sm., a wild relative of field pea, may be a source of new resistance genes. The objective of this study was to identify mycosphaerella blight‐resistant wild pea accessions for use in introgression breeding in Canada. Twenty‐six P. fulvum accessions and 18 accessions of wild subspecies of P. sativum {subsp. elatius (Steven ex M. Bieb.) Asch. & Graebn., subsp. transcaucasicum Govorov, subsp. asiaticum Govorov, subsp. sativum var. arvense (L.) Poir., and Pisum abyssinicum A. Braun [syn. P. sativum subsp. abyssinicum (A. Braun) Govorov]} were evaluated along with the check cultivars CDC Striker (moderate resistance) and Alfetta (poor resistance). Among the 44 wild accessions tested under greenhouse condition, 12 accessions had significantly lower disease scores than CDC Striker (P < 0.0001). The 18 most promising accessions along with checks including ‘Radley’ (moderate resistance), CDC Striker, and Alfetta were evaluated for disease resistance under field conditions. None of these accessions had significantly lower disease scores than Radley and CDC Striker. Pisum fulvum accessions PI595937, P651, W615017, and PI560061 and P. sativum subsp. elatius accession PI344538 were considered the most promising for resistance breeding.
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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 | 0.001 |
| Science and technology studies | 0.001 | 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".