| Literature DB >> 36079629 |
Valeria Cavalloro1, Francesco Saverio Robustelli Della Cuna2, Elena Quai2, Stefania Preda2, Francesco Bracco1, Emanuela Martino1, Simona Collina2.
Abstract
The Trentino-South Tyrol region is a special statute region of northeastern Italy. This territory is of particular interest for its morphology, flourishing vegetation, and history, having been a meeting area among different civilizations. Hence, Trentino is characterized by an ethnic plurality and a rich ethnobotanical knowledge, even if the available information is fragmentary, widely dispersed, and often guarded in oral popular culture. To fill this gap, in the present work 200 subjects were interviewed using an ethnobotanical survey. The resulting 817 citations referred to 64 native species, used either for human or animal health or for domestic purposes. As a second step, for each plant exploited for medicinal purposes, local importance was evaluated by calculating their relative frequency of citation. Moreover, the main traditional preparations were discussed. Among them, the most cited and exploited ones are Achillea millefolium, Arnica montana, Hypericum perforatum, Malva sylvestris, Pinus mugo, and Satureja montana, for which a deeper analysis has been performed. Lastly, the ethnobotanical knowledge of the plants growing in this territory will add a piece to the mosaic of traditional medicine in Italy and may lay the foundation for a nature-aided drug discovery process.Entities:
Keywords: Italy; RFC; Trentino—Alto Adige; ethnobotany
Year: 2022 PMID: 36079629 PMCID: PMC9460053 DOI: 10.3390/plants11172246
Source DB: PubMed Journal: Plants (Basel) ISSN: 2223-7747
Ethnobotanical investigations carried out in different Italian areas from 1981 to 2022.
| Author | Location | Plants (n°) | Informants (n°) |
|---|---|---|---|
| Ballero et al., 2001 [ | Sardegna | 65 | 105 |
| Guarrera et al., 2005 [ | Basilicata | 56 | 49 |
| Salerno et al., 2005 [ | Basilicata | 60 | 49 |
| Guerrera et al., 2005 [ | Lazio | 96 | 44 |
| Nebel et al., 2006 [ | Calabria | 48 | 54 |
| De Natele et al., 2007 [ | Campania | 95 | 56 |
| Guarrera et al., 2008 [ | Molise | 70 | 54 |
| Signorini et al., 2009 [ | Sardegna | 72 | 17 |
| Vitalini et al., 2009 [ | Lombardia | 58 | 54 |
| Pieroni et al., 2009 [ | Piemonte | 88 | 67 |
| Idolo et al., 2010 [ | Lazio e Molise | 145 | 60 |
| Montesano et al., 2012 [ | Basilicata | 52 | 11 |
| Leto et al., 2013 [ | Sicilia | 174 | 150 |
| Vitalini et al., 2013 [ | Lombardia | 66 | 100 |
| Di Sanzo et al., 2013 [ | Basilicata | 78 | 120 |
| Tuttolomondo et al., 2014 [ | Sicilia | 108 | 230 |
| Cornara et al., 2014 [ | Liguria | 120 | 52 |
| Sansanelli et al., 2014 [ | Emilia-Romagna | 66 | 39 |
| Dei Cas et al., 2015 [ | Lombardia | 126 | 92 |
| Bellia et al., 2015 [ | Piemonte | 90 | 47 |
| Fortini et al., 2016 [ | Lazio | 106 | 71 |
| Vitalini et al., 2015 [ | Lombardia | 212 | 328 |
| Sansanelli et al., 2017 [ | Basilicata | 52 | 58 |
| Mautone et al., 2019 [ | Campania | 119 | 70 |
| Lucchetti et al., 2019 [ | Marche | 92 | 120 |
| Prigioniero et al., 2020 [ | Southern Italy | 524 | 831 |
| Bottoni et al., 2020 [ | Lombardia | 59 | 137 |
| La Rosa et al., 2021 [ | Aegadian Islands | 122 | 48 |
| Danna et al., 2022 [ | Aosta valley | 217 | 68 |
Figure 1Map of the study area. Image adapted from Provincia Autonoma di Trento (https://www.provincia.tn.it/, accessed on 11 July 2022).
Distribution of the 200 subjects interviewed in Trentino-South Tyrol based on age, sex, and occupation.
| N° Informants (%) | |||||
|---|---|---|---|---|---|
| Age | Male | Female | Student | Workers | Retired |
| <30 | 8 (12%) | 20 (15%) | 1 (1%) | 27 (12%) | 0 |
| 30–39 | 12 (18%) | 17 (13%) | 0 | 100 (50%) | 0 |
| 40–49 | 6 (9%) | 24 (18%) | |||
| 50–59 | 11 (16%) | 30 (23%) | |||
| >60 | 30 (45%) | 42 (32%) | 0 | 30 (15%) | 42 (32%) |
Distribution of the 200 subjects interviewed in Trentino-South Tyrol based on the 11 districts in which the study area is divided.
| N° Informants | N° Citations | |
|---|---|---|
| Valle di Sole | 12 | 62 |
| Valle di Non | 19 | 175 |
| Valli Giudicarie | 60 | 116 |
| Alto Garda e Ledro | 11 | 27 |
| Valle dell’Adige | 23 | 42 |
| Vallagarina | 15 | 56 |
| Alta Valsugana | 11 | 24 |
| Bassa Valsugana e Tesino | 14 | 67 |
| Valle di Fiemme | 15 | 148 |
| Primiero | 8 | 37 |
| Ladino di Fassa | 12 | 63 |
| Tot | 200 | 817 |
Figure 2(A) Percentage of citations collected during the interviews grouped for categories of use, and (B) main applications of the medicinal plants.
Number of citations for plants cited in the medicinal field divided into the category of use and related frequency relative citation (RFCs).
| Respiratory | Integumentary System | Gastrointestinal System | Urogenital System | Musculoskeletal System | Nervous System | Mineralizing | Others | Total | RFCs | |
|---|---|---|---|---|---|---|---|---|---|---|
|
| 3 | 3 | 6 |
| ||||||
|
| 2 | 18 | 20 |
| ||||||
|
| 1 | 3 | 4 |
| ||||||
|
| 94 | 94 |
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|
| 5 | 5 |
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|
| 2 | 2 |
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| 21 | 21 |
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| 2 | 1 | 1 | 1 a | 5 |
| ||||
|
| 19 | 19 |
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| 1 | 1 |
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| 13 | 13 |
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| 1 | 1 |
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|
| 3 b | 3 |
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| 1 c | 1 |
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|
| 1 | 1 |
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| 5 | 3 | 8 |
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| 1 | 16 | 17 |
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|
| 6 | 6 |
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|
| 7 | 1 | 8 |
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|
| 14 | 14 |
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| 3 | 69 | 3 | 75 |
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|
| 1 | 1 |
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| 16 | 16 |
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|
| 4 | 4 |
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| 1 | 1 |
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| 11 | 14 | 5 | 2 | 2 d | 34 |
| |||
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| 4 | 7 | 2 | 1 | 1 d | 15 |
| |||
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| 9 | 3 | 12 |
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| 1 | 1 | 2 |
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| 17 | 1 e | 18 |
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| 4 | 3 | 7 |
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|
| 2 | 2 |
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|
| 16 | 16 |
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|
| 69 | 69 |
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|
| 2 | 2 |
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|
| 1 | 1 | 3 | 5 |
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|
| 5 | 5 |
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|
| 5 | 5 |
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|
| 11 | 11 |
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| 1 | 1 | 2 |
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| 5 | 4 | 9 |
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|
| 10 | 10 |
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| 26 | 1 | 27 |
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|
| 1 | 1 |
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|
| 1 | 1 |
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|
| 16 | 16 |
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|
| 15 | 15 |
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|
| 6 | 7 | 13 |
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|
| 19 | 19 |
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| 16 | 2 | 1b | 19 |
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| 4 | 4 |
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| 10 | 4 | 8 | 22 |
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| 3 | 3 |
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|
| 1 | 1 |
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|
| 2 d | 2 |
| |||||||
|
| 2 | 2 |
| |||||||
|
| 174 | 156 | 122 | 71 | 145 | 10 | 22 | 12 | 712 |
a = Endocrine system.b Cardiovascular system. c = Hearing system d = Visual apparatus. e = Circulatory system.
Plants mainly used for traditional preparations and related RFC values and medicinal applications.
| # | Plants | RFC | Traditional Preparations | Medicinal Uses |
|---|---|---|---|---|
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| 2 |
| 0.02 | Decoction | Diuretic |
| Tincture | Muscle and joint pain | |||
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| 4 |
| 0.025 | Herbal tea | Dyspepsia |
| 5 |
| 0.01 | Tincture | Muscle and joint pain |
| 6 |
| 0.055 | Oleolyte | Skin diseases, wounds, and burns |
| 7 |
| 0.025 | Tincture | Rheumatism |
| 8 |
| 0.095 | Herbal tea | Dyspepsia |
| 9 |
| 0.015 | Herbal tea | Hypertension |
| 10 | 0.005 | Oleolyte | Ear infection | |
| 11 |
| 0.04 | Herbal tea | Urogenital diseases |
| 12 |
| 0.085 | Tincture | Muscle and joint pain |
| 13 |
| 0.03 | Herbal tea | Constipation |
| 14 |
| 0.04 | Tincture | Dyspepsia |
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| |||
| 16 | 0.005 | Herbal tea | Dyspepsia and urinary tract infections | |
| 17 |
| 0.08 | Oinment | Wounds healing |
| 18 |
| 0.005 | Decoction | Muscle aches |
|
|
|
|
|
|
| 20 |
| 0.075 | Herbal tea | Dyspepsia |
| 21 |
| 0.06 | Herbal tea | Insomnia and premenstrual syndrome |
| 22 |
| 0.01 | Herbal tea | Insomnia and premenstrual syndrome |
| 23 |
| 0.035 | Herbal tea | Insomnia and cough |
|
|
|
|
|
|
| 25 |
| 0.01 | Herbal tea | Catarrh |
| 26 |
| 0.025 | Herbal tea | Worm infection |
| 27 |
| 0.025 | Herbal tea | Fever and diarrhea |
| 28 |
| 0.025 | Herbal tea | Cough |
| 29 |
| 0.01 | Herbal tea | Infections of the respiratory system |
| 30 |
| 0.055 | Oleolyte | gout and joint pain |
| 31 |
| 0.045 | Herbal tea | Cough and sore throat |
| 32 |
| 0.05 | Herbal tea | Cold |
|
|
|
|
|
|
| 34 |
| 0.005 | Herbal tea | constipation |
| 35 |
| 0.08 | Herbal tea | Urogenital diseases |
| 36 |
| 0.075 | Oleolyte | Muscle and joint pain |
| 37 |
| 0.065 | Decoction | Diuretic |
| 38 | 0.095 | Herbal tea | Infections of the respiratory system | |
| 39 | 0.095 | Herbal tea | Cough, cold, and tachycardia | |
| 40 |
| 0.02 | Herbal tea | Infections of the respiratory system |
| 41 |
| 0.015 | Herbal tea | Urogenital diseases |
| 42 |
| 0.005 | Herbal tea | Infections of the respiratory system |
| 43 |
| 0.01 | Herbal tea | Cough |
Figure 3Common “in-house” packaging of traditional preparations: oleolyte (A,B), ointment traditionally called “ünt del tai” (C), and Mugolio (D).
Figure 4Most abundant secondary metabolites produced by Achillea millefolium.
Figure 5Main secondary metabolites produced by Arnica montana.
Figure 6Main secondary metabolites produced by Hypericum perforatum.
Figure 7Main secondary metabolites produced by Pinus mugo.
Figure 8Main secondary metabolites produced by Satureja montana.