Quality assessment of marketed eggs in bassekabylie (Algeria)

• Autor(a) principal: Moula,N
• Data de Publicação: 2013
• Outros Autores: Ait-Kaki,A, Leroy,P, Antoine-Moussiaux,N
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Brazilian Journal of Poultry Science (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2013000400015
• topic: Bejaia; consumer channels; egg quality; egg prices; marketed table eggs; egg grades

Quality variations in retail eggs are widely reported. This study aims at assessing the quality of eggs according to the marketing channel in the department of Bejaia (Algeria). In spring and summer 2012, 3330 eggs were bought in 30 stores divided into 3 categories: 10 supermarkets (1146 eggs), 10 public markets (1048 eggs), and 10 shops (1136 eggs). Egg weights differed significantly between marketing channels with 58.9±0.14, 61.2±0.13 and 62.8±0.13 g for public markets, shops and supermarkets, respectively (p<0.001). Although shell thickness was similar for all marketing channels, the proportion of damaged eggs was higher in public markets (9.0%), intermediate in food shops (7.3%) and lower in supermarkets (5.7%; p<0.05). The yolk/albumen ratio was significantly higher for eggs from supermarkets (48.0%) compared with the other channels (around 47.4%; p<0.05). The freshness of the eggs, measured by the Haugh method, was lower in public markets (74.3 units), intermediate in shops (77.6 units) and higher in supermarkets (79.9 units; p<0.05). The price of eggs, expressed in Algerian Dinar (AD) per kg, was significantly lower in public markets (124 AD/kg) compared with the two other channels (around 131 AD/kg; p<0.05). It is possible to conclude that egg quality in Bass Kabylie differs significantly among marketing channels, with higher quality observed in supermarkets. The lower quality of eggs in public markets is associated with lower price. Eggs from shops present an intermediate quality. A one-year study would allow studying both the potential seasonal effect and compare intrinsic variability across marketing channels.