Quantitative resistance of barley cultivars to Rhynchospohum secalis
Bibliographic record
Abstract
Quantitative resistance in spring barley cultivars with different genetic bases of resistance to scald was investigated in field trials conducted in 1993, 1995, and 1996. The variables measured included area under the disease progress curve (AUDPC), apparent infection rate (AIR), infection frequency (IF), lesion length (LL), lesion width (LW), time to disease onset at 5% severity (T5), final severity (FS), and sporulation (SP). Grain yield and thousand-kernel weight (TKW) of each cultivar in plots protected with Tilt® were compared with those in nonprotected plots. The eight cultivars evaluated were statistically separated into susceptible and resistant groups according to the variables measured. 'Argyle,' 'Harrington,' 'Klages,' and 'Jackson' were placed in the susceptible group and 'AC Stacey,' 'Johnston,' and 'Leduc' were placed in the resistant group. 'CDC Guardian' became progressively more susceptible each growing season, indicating that its resistance was overcome by new pathotype(s) of the scald pathogen. Scald caused significant yield and TKW losses based on a combined analysis of the three-year data. Grain yield and TKW of susceptible cultivars were reduced more than those of resistant cultivars. AUDPC, FS, AIR, T5, IF, LL, and LW were significantly correlated to each other. Percent TKW relative to plots protected with Tilt® was negatively correlated with AUDPC, FS, AIR, IF, LL, and LW, positively correlated with T5, but percent yield relative to plots protected with Tilt® was not correlated with any of these variables. 'Leduc' retarded disease development, as evidenced by a smaller AUDPC, lower AIR, reduced IF, longer T5, and lower FS. 'Leduc' was consistently tolerant to scald, having the lowest reduction in yield among the eight cultivars. Therefore, 'Leduc' can be used as a source of durable resistance by breeding programs in western Canada.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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".