547 research outputs found

    Consumer acceptance of Italian or New Zealander lamb meat: an Italian case study

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    A Central location test was performed to compare heavy Apennine lamb meat to New Zealander lamb meat in order to create a Protected Geographical Indication for lamb meat. Roasted New-Zealander and heavy Apennine lamb legs were tested by 106 consumers according to the following experimental plan: blind phase (B) without any possibility to recognize the meat type tasted, expected phase (E) in which were described the characteristics of the two types of meat without tasting, informed phase (I) in which the tasted meat was recognized in provenience. Results showed in a nine point scale of appreciation for flavour, juiciness and overall pleasure, the highest values in Apennine lamb meat. B test showed the highest value for overall pleasure (P<0.01). Interaction, Italian lamb x Informed test showed the highest values for all the parameters except for overall liking for which Italian lamb x E test showed the highest values. About foreign lamb meat B test showed higher values than I and E test. Information about lamb meat origin showed disconfirmation for tenderness in Italian lamb meat. Foreign lamb meat showed a positive disconfirmation for flavour and overall pleasure, that confirm the better perception by consumers in blind consumption than in the informed one

    Multi-time delay, multi-point Linear Stochastic Estimation of a cavity shear layer velocity from wall-pressure measurements

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    Multi-time-delay Linear Stochastic Estimation (MTD-LSE) technique is thoroughly described, focusing on its fundamental properties and potentialities. In the multi-time-delay ap- proach, the estimate of the temporal evolution of the velocity at a given location in the flow field is obtained from multiple past samples of the unconditional sources. The technique is applied to estimate the velocity in a cavity shear layer flow, based on wall-pressure measurements from multiple sensor

    Genome-wide analysis reveals the patterns of genetic diversity and population structure of 8 Italian local chicken breeds

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    The aim of this study was to conduct a genome-wide comparative analysis of 8 local Italian chicken breeds (Ermellinata di Rovigo, Millefiori di Lonigo [PML], Polverara Bianca, Polverara Nera, Padovana, Pepoi [PPP], Robusta Lionata, and Robusta Maculata), all under a conservation plan, to understand their genetic diversity and population structure. A total of 152 animals were analyzed using the Affymetrix Axiom 600 K Chicken Genotyping Array. The levels of genetic diversity were highest and lowest in PML and PPP, respectively. The results of genomic inbreeding based on runs of homozygosity (ROH; FROH) showed marked differences among breeds and ranged from 0.161 (PML) to 0.478 (PPP). Furthermore, in all breeds, short ROH (&lt;4 Mb in length) were more frequent than long segments. Patterns of genetic differentiation, model-based clustering, and neighbor networks showed that most breeds formed nonoverlapping clusters and were clearly separate populations. The 2 Polverara breeds shared a similar genetic background and showed the lowest genetic differentiation in comparison with purebred lines; the local populations showed separated groups. PPP and PML were closer to the group of the purebred broiler lines (BRSA, BRSB, BRDA, and BRDB). Six genomic regions are presented as hotspots of autozygosity among the Italian chicken breeds, with candidate genes involved in multiple morphological phenotypes as breast muscle, muscle dry matter content, and body weight. This study is the first exhaustive genome-wide analysis of the diversity of these Italian local chickens from Veneto region. We conclude that breeds have conserved authentic genetic patterns. The results are of significant importance because they will help design and implement conservation strategies. In fact, the conservation of these breeds may also have positive impacts on the local economy, niche traditional markets, and offering a source of high-quality products to consumers. In this context, genomic information may play a crucial role in the management of local breeds
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