Comparison of Different Sources of Vector Resistance for Controlling Wheat Streak Mosaic in Winter Wheat
Bibliographic record
Abstract
Wheat streak mosaic (WSM) is a serious viral disease of wheat ( Triticum aestivum L.) that is vectored by the wheat curl mite ( Aceria tosichella Keifer). Deployment of wheat cultivars with vector resistance is a possible method for WSM control. This 3‐yr (1996–1997/1998–1999) field study compared by means of a split‐plot design the effect of different sources of mite‐resistance backcrossed into a common winter wheat genetic background on both the spread of WSM and on the resulting yield losses. The various lines were first seeded early (in July) in blocks of spaced plots to provide different disease source or spreader treatments as main plots. The same winter wheat lines were then seeded in mid‐September into the spaces between the spreaders as subplot treatments to mimic the crop. Main‐plot (spreader) treatments included the mite‐susceptible winter wheat cultivars CDC Kestrel or Norstar, two mite‐resistant backcross lines of Norstar with resistance from Thinopyrum ponticum (Podpera) Liu & Wang (Nst*5/ Cmc 2) and Triticum tauschii (Coss.) Schmal. (Nst*5/ Cmc 1) plus oat ( Avena sativa L.) as a nonhost. The two mite‐resistant winter wheat lines, plus another mite‐resistant backcross line with resistance from rye ( Secale cereale L.) (Nst*5/1RS‐1BL) and Norstar were also used as subplot treatments. The presence of vector resistance in the spreader treatments reduced the intensity of disease symptoms in the spreader rows themselves and increased their grain yield. In 2 of 3 yr, these yield differences were dramatic. Resistance in the spreader also reduced the secondary spread of WSM into the adjacent winter wheat subplots with conventional planting dates. During severe outbreaks of WSM, (1996‐1997 and 1997‐1998), Nst*5/ Cmc 2 was more effective with a lower frequency of severely infected plants and smaller yield losses than Nst*5/ Cmc 1 or Nst*5/1RS‐1BL. In conclusion, control of WSM through vector resistance requires an effective resistance gene in both the spreader and the crop.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".