Partial resistance to white mould in dry bean
Bibliographic record
Abstract
Balasubramanian, P. M., Conner, R. L., McLaren, D. L., Chatterton, S. and Hou, A. 2014. Partial resistance to white mould in dry bean. Can. J. Plant Sci. 94: 683-691. White mould, caused by Sclerotinia sclerotiorum (Lib.) de Bary, is a constraint on dry bean (Phaseolus vulgaris L.) production across Canada. Under high disease pressure, dry bean cultivars succumb to the disease resulting in a severe loss of seed yield and quality. Disease development is highly influenced by environmental conditions. In the absence of complete resistance to white mould, dry bean cultivars with both field resistance (avoidance) and physiological resistance would be preferred by growers in order to reduce disease risk and production costs. The objective of this study was to characterize select dry bean genotypes for field resistance to white mould in inoculated disease nurseries, and physiological resistance in a controlled environment. White mould ratings ranged from moderately susceptible to susceptible. Dry bean cultivars lacked both field resistance and physiological resistance. Germplasm lines I9365-25, G122, A 195 and I9635-31 had low disease severity ratings (5.1 to 5.6 at 26 d after inoculation using a 1 to 9 visual disease rating scale) in controlled environment indicating physiological resistance. L 192, MO162, 92BG-7 and OAC Rico also had acceptable levels of physiological resistance (severity ratings of 5.8 to 6.2 at 26 d after inoculation). G122, A 195, L 192 and MO 162 had low white mould disease incidences (16 to 25%) in the field over 4 yr indicating field resistance to white mould. These genotypes may be used as parents in the development of dry bean cultivars with enhanced resistance to white mould.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".