Variabilidade fenotípica entre cultivares brasileiras, americanas e canadenses de aveia branca.
Bibliographic record
Abstract
RESUMO: A variabilidade genética em programas de melhoramento pode ser incrementada pela introdução de germoplasma. Entretanto, é necessário que se conheça a distância genética entre esses e os genótipos locais, para que se maximizem as chances de êxito. O trabalho objetivou estimar a disância genética entre 15 cultivares de aveia branca, das quais 11 são estrangeiras (10 americanas e 1 canadense) e 4, brasileiras. O experimento foi conduzido em 2004 na área experimental da UFPel. O delineamento experimental foi o de blocos casualizados com três repetições. Os dados aferidos foram submetidos à análise de variância e foi estimada a matriz de distâncias de Mahalanobis entre os genótipos. A partir da matriz de distâncias foi construído um dendrograma, que permitiu a divisão das cultivares em três grupos: (I) cultivares brasileiras UPFA 22, URS 21 e UPFA 20; (11) cultivar UPF 18 e (III) todos os genótipos estrangeiros. Os genótipos estrangeiros diferenciaram-se dos brasileiros principalmente em função de evidenciarem elevada estatura e um ciclo longo. Os genótipos estrangeiros avaliados apresentaram grandes problemas de adaptação às condições brasileiras de cultivo e, dessa forma, são necessários novos estudos a fim de avaliar a possibilidade da utilização dessas constituições genéticas em futuros cruzamentos artificiais. ABSTRACT: The genetic in a breeding program can be increased through the introduction of exotic constitutions. However it is necessary to know the genetic distance among them and the local genotypes, to maximize the chances of success. The objective of this work was to estimate the genetic distance among 15 white oat cultivars, being 11 foreign (10 american and 1 canadian) and 4 brazilian cultivars. The experiment was conducted int the winter season of 2004 at the UFPel experimental area. The experimental design was random blocks with three replications. The data were subjected to variance analysis and it was estimated the distance matrix of Mahalonobis. Based on the distance matrix among all individuals, a dendrogram was built. The studied cultivars were divided in three groups: group (I) brazilian cultivars UPFA 20, UPFA 22 and URS 21; group (II) cultivar UPF 18 and group III) by all foreign genotypes. The foreign genotypes differentiate from brazilian mainly as, a function oh high plant stature and longer cycle. The foreign genotypes evaluated present large problems of adaptation to the brazilian cultivating conditions and therefore, new studies are necessary to properly evaluate the possibility of using these genetic constitutions in future artificial crosses.
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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 | 0.000 | 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".