Agronomic performance of ‘BRS Melodia’ seedless table grape grafted onto different rootstocks
Bibliographic record
Abstract
The seedless table grape ‘BRS Melodia’ stands out for its pink color and the special flavor of red berries, which make for commercial classification as gourmet type grapes. Cultivation of this new table grape cultivar is expanding in the São Francisco Valley, in the Brazilian Northeast region. The aim of this study was to determine the effect of the rootstock on vigor, on yield components, and on physicochemical characteristics of ‘BRS Melodia’ grapes grown under the semi-arid tropical conditions of the São Francisco Valley. The experiment was carried out under irrigated cultivation in a commercial area in the municipality of Casa Nova, Bahia, Brazil, from 2021 to 2023. Treatments consisted of the rootstocks 101-14 MgT, IAC 313, IAC 572, IAC 766, Paulsen 1103, Ramsey, SO4, and Teleki 5C in a randomized block experimental design with four replications. There was no effect of the rootstock on the following variables: branch and leaf fresh matter, sprouting percentage, total soluble solids content (SS), titratable acidity (TA), and SS/TA ratio. ‘BRS Melodia’ grapevines had high vigor regardless of the rootstock used. The Ramsey rootstock led to reduced bud fertility compared to IAC 572 and IAC 766. As the vines advanced in age, the rootstocks IAC 572 and IAC 766 provided the highest yields and number of clusters per vine. The physicochemical characteristics of the ‘BRS Melodia’ grapes meet the standards required for commercialization on all the rootstocks used.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 |
| 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".