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dc.contributor.author
Pedrozo, Lina Paula
dc.contributor.author
Kuchen, Benjamin Rafael
dc.contributor.author
Flores, Cintia Belen
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Rodríguez, L. A.
dc.contributor.author
Pesce, Virginia Mercedes
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Maturano, Yolanda Paola
dc.contributor.author
Nally, Maria Cristina
dc.contributor.author
Vazquez, F.
dc.date.available
2024-05-03T15:42:39Z
dc.date.issued
2024-07
dc.identifier.citation
Pedrozo, Lina Paula; Kuchen, Benjamin Rafael; Flores, Cintia Belen; Rodríguez, L. A.; Pesce, Virginia Mercedes; et al.; Optimization of sustainable control strategies against blue rot in table grapes under cold storage conditions; Elsevier Science; Postharvest Biology and Technology; 213; 7-2024; 1-8
dc.identifier.issn
0925-5214
dc.identifier.uri
http://hdl.handle.net/11336/234490
dc.description.abstract
Cold storage conditions do not inhibit the development of Penicillium expansum, a wound pathogen that causes significant losses in terms of quantity and quality in table grape´s production. The adoption of integrated strategies is recommended to enhance postharvest disease control and diminish reliance on synthetic fungicides and their adverse effects. Biocontrol is compatible with these purposes but to date there are no studies that have assessed the combination of different antifungal strategies by using statistical Mixture Design Models (MDM) and optimizing through the Response Surface Methodology (RSM). The aim of this work was optimizing a compatible combination of antimicrobials agents (antimicrobial substances and UV-C light exposure) with native biocontrol yeasts looking for an integrated strategy to reduce the disease severity (DS) caused by P. expansum on table grapes at 2 ±1°C. Three psychrotrophic yeast isolates belonging to the species Metschnikowia pulcherrima (Mp22, Mp36, Mp43) and four P. expansum (PSS4, PSS6, PRG3, PRG2) pathogen isolates were used. Isolates sensitivity was evaluated under in vitro assays with chemical and physical antimicrobial agents. An augmented simplex-centroid mixture design was selected and RSM was used to optimize the compatible combination of biocontrol yeasts and sodium bicarbonate (NaHCO3) to control P. expansum DS on Superior Seedless grape clusters under cold storage conditions. A Special Cubic model best fitted the data from the response variable (p < 0.0001; R2=0.9334). The combination of yeasts (Mp22, Mp36) and NaHCO3, after optimization, reduced 90% the DS in grape bunches stored for 30 days at 2±1 °C (validation assays). Results obtained in the present work suggest biocontrol integrating M. pulcherrima yeasts and NaHCO3 effectively reduces the growth of P. expansum in table grapes. The use of MDM and RSM is a methodological novelty in biocontrol studies that leads to more precise integrating strategies against fungal diseases on table grapes under cold storage conditions.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
TABLE GRAPES
dc.subject
BLUE ROT
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RESPONSE SURFACE METHODOLOGY
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MIXTURE DESING
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Biología Celular, Microbiología
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Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Optimization of sustainable control strategies against blue rot in table grapes under cold storage conditions
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-04-29T13:32:07Z
dc.journal.volume
213
dc.journal.pagination
1-8
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Pedrozo, Lina Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Biotecnología; Argentina
dc.description.fil
Fil: Kuchen, Benjamin Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Biotecnología; Argentina
dc.description.fil
Fil: Flores, Cintia Belen. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Biotecnología; Argentina
dc.description.fil
Fil: Rodríguez, L. A.. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Biotecnología; Argentina. Universidad Nacional de San Juan. Facultad de Ciencias Exactas Físicas y Naturales. Departamento de Biología; Argentina
dc.description.fil
Fil: Pesce, Virginia Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Biotecnología; Argentina
dc.description.fil
Fil: Maturano, Yolanda Paola. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Biotecnología; Argentina
dc.description.fil
Fil: Nally, Maria Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Vazquez, F.. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Biotecnología; Argentina
dc.journal.title
Postharvest Biology and Technology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0925521424001911
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.postharvbio.2024.112946
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