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Record W2399994992

Etiology and Management of Grape Sour Rot

2016· dissertation· en· W2399994992 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2016
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsnot available
Fundersnot available
KeywordsEtiologySour cherryHorticultureBiologyMedicinePathology
DOInot available

Abstract

fetched live from OpenAlex

Sour rot is characterized by increased volatile acidity (VA) in ripe grapes. VA is associated with spoilage organisms and wineries may reject grape crops based on their concentration of acetic acid. Our research associated Hanseniaspora uvarum, Gluconobacter oxydans, and to a lesser extent, Gluconobacter cerinus and Acetobacter malorum with sour rotted grapes in the Niagara Peninsula, designated viticultural area, Ontario, Canada, and the pathogenicity of these organisms was confirmed by laboratory assays. Only G. oxydans was shown to penetrate around the site of pedicel attachment to the grape. The yeasts required further wounding. Candida zemplinina was also associated with the sour rot microbial community. This species showed variable pathogenicity by strain and most strains were not highly pathogenic. C. zemplinina gained dominance in the microbial population of grapes only after sour rot symptoms were observed, indicating a succession which was studied in laboratory assays. There was a correlation between temperature, moisture, and berry ripeness and the development of sour rot when conditions were monitored in a Vitis vinifera cv. Riesling vineyard over four years, and this was confirmed in laboratory assays. Disease management options are limited since sour rot is caused by a complex of yeasts and bacteria, with symptoms developing just as grapes approach maturity. Post-veraison treatments for sour rot were investigated. Wineries routinely add potassium metabisulphite (KMS) to the surface of fruit in bins and to grape juice to kill spoilage organisms. Replicated field trials were conducted in V. vinifera cv. Riesling in 2010 and 2011 to determine the efficacy of KMS at different concentrations and pre-harvest timings as a fruiting-zone spray. Potassium bicarbonate (Milstop) was also evaluated for its efficacy against sour rot. Plots were rated for incidence and severity of sour rot and VA (g acetic acid/L juice). KMS treatments at concentrations above 5 kg/1000L and Milstop sprayed at the label concentration of 5.6 kg/1000L were able to reduce the severity of sour rot compared to untreated control plots which had a severity above 50% (2011). KMS was able to reduce VA to below the winery rejection threshold of 0.24 g acetic acid/L when sour rot severity reached 12% in untreated plots (2010). When tested in the laboratory in disk diffusion assays conducted on yeast peptone dextrose agar, KMS at a concentration of 10 g/L had the greatest efficacy against G. oxydans and H. uvarum. Grape incubation assays showed the potential of KMS acidified with tartaric acid to reduce sour rot symptoms. Acidification did not show as much potential in field trials, calling for further research.

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.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.203
Teacher spread0.190 · 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