Italian Consumers' Readiness to Adopt Eggs from Insect-Fed Hens.

consumers’ inclination eggs insects insects as feed laying hens neophobia

Journal

Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614

Informations de publication

Date de publication:
16 Nov 2021
Historique:
received: 30 09 2021
revised: 11 11 2021
accepted: 12 11 2021
entrez: 27 11 2021
pubmed: 28 11 2021
medline: 28 11 2021
Statut: epublish

Résumé

Demand for eggs from laying hens is increasing as the world population continues to grow. The use of insects as animal feed is a strategic opportunity to find a new innovative, economic and sustainable source of protein. The aim of this study was to evaluate the Italian consumer inclination for eggs produced with the use of insect-fed hens. The investigation on consumers' readiness to adopt eggs from insect-fed hens was carried out through an online survey conducted on 510 participants. Survey results outlined four different clusters on the basis of the willingness to buy/eat eggs fed with insects: "ready" (40.1%), "environmentalist" (24.3%), "cautious" (21.7%), and "reluctant" (13.9%). "Ready", "environmentalist", and "cautious" were quite favorable to the use of insects as feed stuffs and share drivers for product choice: cheap, organic, and with an explicit indication of use of insects. On the other hand, for the "reluctant", the diet based on insects was the main negative factor influencing product acceptance. This cluster also showed the highest level of neophobia. Italian consumers showed a considerable level of readiness to accept insects as feed material for egg production, which should be reinforced with further information on the origin and the environmental benefit of using insects.

Identifiants

pubmed: 34828009
pii: ani11113278
doi: 10.3390/ani11113278
pmc: PMC8614258
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : ROP ERDF, Program 2014-2020, Axis 1, Action 1.2.2 Call for Research Grouping and cofinanced by the Development and Cohesion Found.
ID : PG/2018/631984

Références

Nutr J. 2020 Dec 9;19(1):138
pubmed: 33298065
Nutrients. 2020 Jun 15;12(6):
pubmed: 32549267
Sci Total Environ. 2020 Mar 20;709:136209
pubmed: 31884276
Br Poult Sci. 2018 Feb;59(1):1-6
pubmed: 29129115
Animals (Basel). 2020 Jul 30;10(8):
pubmed: 32751612
Animals (Basel). 2021 May 21;11(6):
pubmed: 34063895
Insects. 2021 Jan 29;12(2):
pubmed: 33573090
Insects. 2021 May 12;12(5):
pubmed: 34066011
Appetite. 1992 Oct;19(2):105-20
pubmed: 1489209
Food Res Int. 2019 Nov;125:108573
pubmed: 31554134
Insects. 2018 Apr 19;9(2):
pubmed: 29671798
J Sci Food Agric. 2011 Feb;91(3):532-8
pubmed: 21218489
PLoS One. 2016 May 31;11(5):e0155222
pubmed: 27244079
Animal. 2019 Jul;13(7):1365-1375
pubmed: 30691544
Waste Manag. 2019 Jul 15;95:278-288
pubmed: 31351613
Poult Sci. 2021 Apr;100(4):101034
pubmed: 33662662
Animals (Basel). 2019 Mar 20;9(3):
pubmed: 30897819
Anim Nutr. 2018 Dec;4(4):452-460
pubmed: 30564767

Auteurs

Nico Lippi (N)

Institute of BioEconomy (IBE), National Research Council, Via P. Gobetti, 101, 40129 Bologna, Italy.

Stefano Predieri (S)

Institute of BioEconomy (IBE), National Research Council, Via P. Gobetti, 101, 40129 Bologna, Italy.

Camilla Chieco (C)

Institute of BioEconomy (IBE), National Research Council, Via P. Gobetti, 101, 40129 Bologna, Italy.

Giulia Maria Daniele (GM)

Institute of BioEconomy (IBE), National Research Council, Via P. Gobetti, 101, 40129 Bologna, Italy.

Marta Cianciabella (M)

Institute of BioEconomy (IBE), National Research Council, Via P. Gobetti, 101, 40129 Bologna, Italy.

Massimiliano Magli (M)

Institute of BioEconomy (IBE), National Research Council, Via P. Gobetti, 101, 40129 Bologna, Italy.

Lara Maistrello (L)

Centre BIOGEST-SITEIA, Department of Life Science, Università di Modena e Reggio Emilia, Via G. Amendola, 2, 42122 Reggio Emilia, Italy.

Edoardo Gatti (E)

Institute of BioEconomy (IBE), National Research Council, Via P. Gobetti, 101, 40129 Bologna, Italy.

Classifications MeSH