Parameters of adaptability and stability in brazilian and exotic cultivars of white oat
Bibliographic record
Abstract
The introduction of exotic germoplasm is one of the most important tools in obtaining genetic variability in breeding programs. However, it presents problems of adaptation and stability on specific conditions of climate and soil. The objective of the study was to evaluate the performance of Brazilian and exotic genotypes of oat (Avena sativa L.) and the parameters of adaptability and stability in different years of cultivation to local conditions in Capao do Leao/RS, Brazil. Experiments were conducted in 2005, 2006 and 2007 using ten US oat cultivars, thirteen brazilian cultivars and one canadian cultivar, in an experimental design of randomized blocks with three replications. The national usually outperformed the foreign genotypes, the latter showing difficulties in adaptation to the studied conditions. Cultivars Assiniboia and Hi-Fi had performances similar to the Brazilian elite genotypes, with adequate average production, good adaptability and phenotypic stability. The introduction of this type of germplasm may increase the gene pool with new groups of genes and/or alleles carrying genetic gains in the improvement of oats.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".