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Record W2915038561 · doi:10.5539/jas.v11n3p188

Quality of Tomato (Solanum lycopersicum L.) Due to Grafting in Solanaceae of Different Species

2019· article· en· W2915038561 on OpenAlexvenueno aff
João Lucas Moraes Vieira, Rogério Eiji Hanada

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Management Techniques
Canadian institutionsnot available
FundersInstituto Nacional de Pesquisas da AmazôniaConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsTitratable acidSolanumRootstockHorticultureCultivarCherry tomatoSolanaceaeChemistryBiology

Abstract

fetched live from OpenAlex

The present work had as objective to evaluate the physical-chemical characteristics of commercial tomato fruits grafted on different solanaceous species. The experiment was conducted in a greenhouse, in a randomized complete block design, with four blocks and six treatments, being the rootstocks: cocona (Solanum sessiliflorum); two cultivars of eggplant (Solanum aethiopicum), Long Light Green and Big Hill; jurubebão (Solanum lycocarpum) and jurubeba juna (Solanum stramonifolium), grafted with the tomato cultivar Santa Cruz Kada, and the control treatment was represented by the self-grafted tomato. Three consecutive harvests were spaced seven days after the production stabilization, and the characteristics fruits analyzed were Total Soluble Solids (ºBrix), pH, Titratable Acidity (percentage of citric acid) and TSS/TA. A statistically significant difference was found in the Tukey’s test at 5% probability in the titratable acidity, pH and fruit pulp flavor, among the evaluated treatments, while the soluble solids content did not differ between treatments in any of the harvests, but the values remained within the considered adequate for the tomato in natura in the current literature. There was a decrease in fruit flavor in all treatments, and fruit pH drop in all treatments with the exception of jurubebão, with the advancement of plant age, while the titratable acidity had an inverse behavior. The evaluated rootstocks can be used in the tomato crop, without prejudice to the quality of the tomato fruit produced.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.858
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.021
GPT teacher head0.246
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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