Phenotypic Variability in the Induction of Alpha Acids in Hops (Humulus lupulus L.) in Brazil
Bibliographic record
Abstract
Hops (Humulus lupulus L.) is a key ingredient in beer, with great significance for the Brazilian industry. The economically viable production of hops in Brazil depends on the genetic variability available to be used in the selection and development of high-as performance photo-neutral cultivars and their interaction with the environment. The objective of this research was to evaluate the phenotypic variability of alpha-effective character in relation to the environmental variation in different Brazilian regions. Alpha-acids tests were performed through the American Society of Brewing Chemists (ASBC-HOPS 6. B-Conductometric titration methodology). Phenotypic variation assessment showed that 30% of the variation occurred among clones, while 47% was attributed to the environmental components of cultivation. The repeatability coefficient (t) was below 0.25, demonstrating that interaction between genotype and environment inflicted on alpha-acid levels. Results showed variability in the alpha-acid contents depending on the hops growing regions. According to the results, clones 9 (8.22%), 26 (12.95%) and 27 (9.94%) added the highest levels of alpha-acids. Therefore, there is variability available for the genetic improvement of the culture in Brazil and its effects must be evaluated in each microclimate of cultivation.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".