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Enregistrement W2739486093 · doi:10.1201/9781420020984-25

Wine and fungi implications of vineyard infections

2007· book-chapter· en· W2739486093 sur OpenAlexaboutno aff
Su‐lin L. Leong

Notice bibliographique

Revuenon disponible
Typebook-chapter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiquePlant Pathogens and Fungal Diseases
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésVineyardWineBiologyHorticultureFood science

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION The making of wine is a fungal biotransformation; in addition, fungi have the potential to affect this process at every stage from the grape vine to consumption. Several fungi are pathogenic to grape vines, infecting the roots, trunk, canes, leaves and berries (Pearson and Goheen, 1988). Fungal diseases may affect crop yield and quality, which, in turn, may affect wine at its most fundamental level – the decision whether or not it is made! Fungi which infect berries (Hewitt, 1988; Emmett et al., 1992) include the mildew pathogens Erysiphe necator (Uncinula necator) and Plasmopara viticola, Alternaria spp., Aspergillus spp., Botrytis cinerea, Cladosporium spp., Penicillium spp. and Rhizopus spp. These infections are wellrecognised and either cause damage sporadically in seasons in which conditions favour disease, or are controlled through vineyard management techniques, such as fungicidal sprays. Changes in the berry due to fungal infection may in turn alter the properties of the wine. Once vinification commences, filamentous fungi are less of a consideration, although their prior activity may affect the wine. Yeast strains are selected to confer desirable flavours and aromas to the wine during fermentation; conversely, undesirable strains and species may kill the desirable yeasts, hinder fermentation or produce off-flavours (Kunkee and Bisson, 1993; Fleet, 2003; Loureiro and MalfeitoFerreira, 2003). Post-fermentation, yeasts may continue to produce off-flavours, referment residual sugars, grow on the surface as a film, or cause cloudiness and sediment formation. These problems are generally well managed in wineries; however, Dekkera spp. (anamorphs in Brettanomyces) are spoilage yeasts which appear to be of growing concern to the industry. After bottling, filamentous fungi may again affect wine through their involvement in “cork taint” (Lee and Simpson, 1993). A recent mycological food safety challenge to confront the wine industry is the production of ochratoxin A (OA), an isocoumarin derivative linked to phenylalanine, by black Aspergillus spp. in grapes, and its subsequent passage into wine. Aspergillus bunch rots caused by black Aspergillus spp. sporadically occur in vineyards situated in warm to temperate regions (Snowdon, 1990). These fungi typically invade berries via insect punctures or splits in the berry skin. Abarca et al. (1994) reported production of OA by two strains of A. niger from feed, and in the following year, Horie (1995) reported OA production by a second species, A. carbonarius, which has long been known to cause grape rots (Gupta, 1956). OA, a nephrotoxin, was detected in wine only recently (Majerus and Otteneder, 1996; Zimmerli and Dick, 1996), and Heenan et al. (1998) isolated ochratoxigenic black Aspergillus spp. during dried grape processing, suggesting that such species may indeed be the source of OA in grapes. This chapter summarises current research on the occurrence of OA in wine, its production in grapes, fate during vinification, and the potential contribution of DNA-based studies to this problem. The effects of some other fungal infections on wine quality are also discussed. OCHRATOXIN A IN WINE The incidence and degree of OA contamination in wine is now fairly well documented (Figure 1; tabulated in Otteneder and Majerus (2000), Bellí et al. (2002), Stefanaki et al. (2003) and Blesa et al. (2006)). OA was detected more frequently in wines from Mediterranean countries and northern Africa, following a trend for increased prevalence in wines from southern (warmer) regions compared with northern regions, and in red compared to white wine (Majerus and Otteneder, 1996; Zimmerli and Dick, 1996; Ospital et al., 1998; Otteneder and Majerus, 2000; Markarki et al., 2001; Pietri et al., 2001). Occurrence of OA in wines from the socalled “new world” (USA, Canada, South America, South Africa, Australia, New Zea- land) was low. In Australia and South Africa, no obvious differences were observed between OA in red and white wines, and wines from warmer areas did not show increased contamination rates (Stander and Steyn, 2002; Hocking et al., 2003; Leong et al., 2006a). Less expensive wines, such as those sold in plasticlined cardboard boxes, were more frequently contaminated than bottled wines in Australia, Italy and South Africa (Tateo et al., 2000; Tateo and Bononi, 2001; Stander and Steyn, 2002; Hocking et al., 2003; Tateo and Bononi, 2003). OA contamination was also more frequent in certain dessert or fortified wines such as Moscatel, Marsala and Malaga (Zimmerli and Dick, 1996; Burdaspal and Legarda, 1999; Stander and Steyn, 2002; Bellí et al., 2004a; Blesa et al., 2004), whereas its occurrence in ports and sherries was not greater than in still table wines (Festas et al., 2000; Ratola et al., 2004).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,031

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0020,000
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0090,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,017
Tête enseignante GPT0,248
Écart entre enseignants0,231 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2007
Routes d'admission1
Résumé présentoui

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