Impact of common bacterial blight on the yield, seed weight and seed discoloration of different market classes of dry beans (Phaseolus vulgaris L.)
Bibliographic record
Abstract
Boersma, J. G., Hou, A., Gillard, C. L., McRae, K. B. and Conner, R. L. 2015. Impact of common bacterial blight on the yield, seed weight and seed discoloration of different market classes of dry beans (Phaseolus vulgaris L.). Can. J. Plant Sci. 95: 703-710. Common bacterial blight (CBB) is a seed-borne disease of dry bean (Phaseolus vulgaris L.), causing significant economic loss to growers due to reductions in seed yield and quality and the need to annually purchase disease-free seed. Over the past decade a number of breeding lines and cultivars with resistance to CBB have been developed in several bean market classes including navy, black and cranberry beans. A comparison of three susceptible navy bean cultivars and seven resistant navy, three black and one cranberry bean entries in Manitoba revealed that most resistant navy and black bean lines had significantly reduced the incidence of leaf symptoms and their mean yield losses were reduced to less than 17%, while those of the susceptible lines were as high as 36% under severe disease pressure. Only the weakly resistant navy bean cultivar HR67 and the cranberry bean line F4GR1 failed to substantially reduce CBB symptoms or show a yield advantage. The Simple Sequence Repeat (SSR) marker PVctt001 in combination with Sequence Characterized Amplified Region (SCAR) marker SU91 was associated with a low incidence of CBB symptoms and a reduced yield loss in five navy bean lines, but not in the cranberry bean line F4GR1. Disease symptoms on the pods in the resistant black and navy beans and seed discoloration of navy beans caused by CBB were also significantly reduced by resistance. Seed weights were reduced by 2.1-4.7% in the susceptible cultivars, but there was only a slight or no decrease or no effect on the seed weight of the CBB-resistant lines and cultivars. Generally the magnitude of the reductions in yield was much greater than the impact on seed weight, which suggests that yield losses were caused by a combination of reduced seed weight and the number of seeds per plant.
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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 | 0.001 |
| 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".