O.47 - Consequences of phytoplasma infection on canola crop production in the Canadian prairies.
Bibliographic record
Abstract
Canola plants (Brassica napus and B. rapa) showing typical Aster Yellows Diseases (AY) symptoms and canola plants showing no AY symptoms were collected in commercial fields of canola in Saskatchewan, Canada. DNA of “Ca. Phytoplasma asteris” (AY phytoplasma) was detected by PCR technology in every canola plant showing typical AY symptoms and in 1030% of asymptomatic canola plants. AY phytoplasma DNA was found in leaf, stem and root tissues as well as in normallooking and misshapen seeds of infected plants. In canola plants showing AY symptoms, 25-80% of the misshapen seeds and 20-60% of normal-looking seeds contained AY phytoplasma DNA, while in asymptomatic infected plants, 9-20% of the misshapen seeds and 2-10% of the normal-looking seeds contained AY phytoplasma DNA. Misshapen seeds never germinated. Normal looking seeds sampled in plants showing AY symptoms or in asymptomatic infected plants germinated at 50-90%. AY phytoplasma DNA was detected in seedcoats from AY infected seeds, as well as in cotyledons, roots and stems of seedlings grown from AY infected seeds. Progeny plants grown from infected seedlings showed malformations such as an increased number of trichomes, lack of growing point, stocky stem, shrivelled leaves and a general growth delay. PCR performed on plants grown out of infected seedlings became negative after the 4 leaf stage. These results showed that AY phytoplasma are present in a large proportion of asymptomatic plants meaning that canola production losses will be higher than estimated from visual assessment of AY incidence. Moreover, the presence of phytoplasma DNA in canola seeds and in seedlings growing out of infected seeds raised the concern of possible seed transmission.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".