Sustainable Agrochemical Exploitation of Ligurian Aromatic Plant Ecotypes.

Precision Farming antibacterial activity antiviral activity garlic ecotype metabolite profiling multivariate data analysis rosemary ecotype

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
23 May 2024
Historique:
medline: 24 5 2024
pubmed: 24 5 2024
entrez: 24 5 2024
Statut: ppublish

Résumé

The characterization of local improved varieties as well as the reduction of synthetic chemical fertilizers are sustainable approaches in the vision of a new precision Farming. Aim of our study was to improve the geographical characterization of local ecotypes and to identify peculiar features of new crops in terms of bioactive compounds. NMR and LC-MS metabolite profiling approaches followed by multivariate data analysis were applied to characterize local rosemary and garlic ecotypes. With the aim of applying for a protected designation of origin, orthogonal partial least squares discriminant analysis (OPLS-DA) was used to identify representative sensory quality indicators for Vessalico garlic and rosemary "Eretto Liguria" local ecotypes, Variable Influence on Projections (VIP) values of OPLS-DA indicated six metabolites as quality indicators for Vessalico garlic and sixteen metabolites as quality indicators for rosemary "Eretto Liguria". Finally, to discover and utilize new ecotypes in a sustainable way, Vessalico garlic extracts antiviral activity, previously evaluated against Tomato brown rugose fruit virus (ToBRFV), a Tobamovirus affecting tomato crops, was extended to Pepino mosaic virus (PepMV) with positive results.

Identifiants

pubmed: 38785027
pii: SHTI240088
doi: 10.3233/SHTI240088
doi:

Substances chimiques

Plant Extracts 0
Agrochemicals 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

178-182

Auteurs

Valeria Iobbi (V)

Department of Pharmacy, University of Genova, Viale Cembrano 4, 16148 Genova, Italy.

Valentina Parisi (V)

Department of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Salerno, Italy.

Anna Paola Lanteri (AP)

CERSAA Centro di Sperimentazione e Assistenza Agricola, Regione Rollo 98, 17031 Albenga, Italy.

Norbert Maggi (N)

Department of Informatics, Bioengineering, Robotics and System Science, University of Genova, Via Opera Pia 13, 16145 Genova, Italy.

Giuliana Drava (G)

Department of Pharmacy, University of Genova, Viale Cembrano 4, 16148 Genova, Italy.

Giovanni Minuto (G)

CERSAA Centro di Sperimentazione e Assistenza Agricola, Regione Rollo 98, 17031 Albenga, Italy.

Nunziatina de Tommasi (N)

Department of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Salerno, Italy.

Mauro Giacomini (M)

Department of Informatics, Bioengineering, Robotics and System Science, University of Genova, Via Opera Pia 13, 16145 Genova, Italy.

Angela Bisio (A)

Department of Pharmacy, University of Genova, Viale Cembrano 4, 16148 Genova, Italy.

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Classifications MeSH