Evidence for the heritability of resistance to brown root rot of alfalfa, caused by<i>Phoma sclerotioides</i>
Bibliographic record
Abstract
Brown root rot (BRR) of alfalfa, caused by Phoma sclerotioides, a low-temperature pathogen, is associated with winterkill in the contiguous United States. Identified in Canada during the 1920s, BRR has been identified from legume roots in four western Canadian provinces. Some Canadian cultivars exhibit BRR resistance, although only one was consciously selected for the trait. Heritability of BRR resistance was evaluated in this study in which containergrown alfalfa plants were inoculated with P. sclerotioides. Plants that were evaluated are progeny (cycle 1) of one generation of selection and intermating of healthy plants drawn from six diverse North American alfalfa populations (five commercial cultivars, one experimental population) that survived exposure to P. sclerotioides soil infestation for several winters. These were evaluated together with plants grown from seed of the original unselected populations (cycle 0), and putative check cultivars ‘Multi-plier’ (BRR susceptible) and ‘Peace’ (BRR resistant). Plants were rated for disease severity for a total of 4 test years. Cycle 1 plants exhibited a reduced level of disease severity compared with cycle 0 plants (P < 0.05), indicating heritability of BRR resistance in alfalfa. Also, especially important for future alfalfa breeding efforts, this study demonstrates that ‘Multi-plier’ and ‘Peace’ are useful checks for screening BRR resistance.
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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) | 0.001 | 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".