Disease reaction to Fusarium avenaceum and yield losses in narrow-leafed lupin lines
Bibliographic record
Abstract
Chang, K. F., Hwang, S. F., Ahmed, H. U., Strelkov, S. E., Gossen, B. D., Turnbull, G. D. and Blade, S. F. 2014. Disease reaction to Fusarium avenaceum and yield losses in narrow-leafed lupin lines. Can. J. Plant Sci. 94: 1211-1218. Seedling blight and root rot caused by Fusarium avenaceum are important constraints to the expansion of lupin (Lupinus angustifolius) production in Alberta, Canada. The reaction of 19 narrow-leafed lupin lines to F. avenaceum was assessed in inoculated field trials in Alberta from 2006 to 2008. Although none of the lines were highly resistant to F. avenaceum, the lines F6RF, MLU-122 and MLU-318-1 had the smallest reduction in emergence and MLU-320 and MLU-324 had the smallest reduction in seed yield as a result of inoculation under field conditions. The stability analysis of yield revealed that lupin lines MLU-324, W12-W5, MLU-320 and MLU-318-1 were more stable in comparison to other lupin lines included in the study. Yield loss was not consistently associated with seedling emergence, likely because the seeding rate may have been higher than required to achieve the yield potential of these lines in Alberta. A companion field study was conducted at Lacombe, Alberta, in 2006 and Edmonton, Alberta, in 2007; seedling emergence and seed yield of the susceptible lupin cv. Arabella declined linearly with increasing levels of seed infestation, and the relationships were summarized using regression analysis. Seedling emergence and yield were strongly correlated.
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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".