Breeding against dothistroma needle blight of radiata pine in Australia
Bibliographic record
Abstract
Pine needle blight, caused by Dothistroma septosporum (Dorog.) M. Morelet, is one of the most serious foliar diseases of Pinus spp. in Australia and New Zealand. In 16 Pinus radiata (D.Don.) progeny trials in northeastern Victoria, Australia, Dothistroma-caused defoliation varied widely among trials and assessment years, ranging from 5% to 65%. The estimated narrow sense heritability ranged from nonsignificant to as high as 0.69 with a median of 0.36. Spatial autocorrelation of residuals accounted for a significant proportion of residual variance, and that increased heritability estimates. Genetic correlation between defoliation scores at an early age and growth at a later age was negative with a median value of –0.39. Phenotypic correlation between defoliation and survival was low and negative with a median value of –0.11. Economic analyses indicated that at sites with a high risk of infection, the effect of reducing defoliation on profitability was comparable with that of increasing growth at sites free from infection. The genetic parameters and economic impacts of Dothistroma were used to derive selection indices and include resistance to defoliation into the current breeding objective for radiata pine.
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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 | 0.001 |
| 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 | 0.000 |
| 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 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".