title: Monitoring of eggshell breakage and eggshell strength in different production chains of consumption eggs.
abstract: We first tried to monitor the critical points for eggshell breakage in different logistic chains. Second, we examined whether there was a difference in eggshell strength among eggs produced in different housing systems. Finally, we developed a model to investigate the relation between eggshell strength and the likelihood of an egg cracking during handling and grading. Four logistic chains with different housing systems (battery cages, furnished cages, aviary, and free-range), all housing Bovans Goldline chickens in their mid-lay (45 wk), were compared. In every chain, a randomized set of 1,500 eggs was sampled, and the strength was defined. At every critical point in every logistic chain, the eggs were reexamined for breakage. The classic and furnished cage systems showed the highest percentage of breakage directly at point of lay (6.73 and 10.72%), whereas the other systems showed lower breakage (1.94% in the aviary and 1.99% in the free-range system). Further, in the logistic chain, grading and packing of the eggs generated the second highest percentage of breakage (from 1.50 to 2.65%). Breakage due to transportation ranged from 0.16 to 2.65%. There was a significant difference among the eggshell strength (shell stiffness and damping ratio) of eggs from chickens in different housing systems, showing eggs from chickens in the aviary system to be stronger than cage eggs (classic and furnished) and free-range eggs to be weaker than the other eggs. A significant correlation was found between eggshell strength and the likelihood of breakage in the production chains. In conclusion, it was first shown that, besides the laying, packing of the eggs is a critical point in the logistic chain of consumption eggs; second, the strength of the eggs in the different housing systems differed, and, finally, the eggshell stiffness and damping ratio of consumption eggs are an acceptable measure for rapid eggshell quality assessment and could provide a good predictive value for eggshell breakage in all types of table egg production chains.
authors.affiliation: Department of Biosystems, Division of Mechatronics, Biostatistics and Sensors, Katholieke Universiteit Leuven, 3001 Heverlee, Belgium. kristof.mertens@biw.kuleuven.be
authors.forename: K
authors.initials: K
authors.lastname: Mertens
authors.forename: F
authors.initials: F
authors.lastname: Bamelis
authors.forename: B
authors.initials: B
authors.lastname: Kemps
authors.forename: B
authors.initials: B
authors.lastname: Kamers
authors.forename: E
authors.initials: E
authors.lastname: Verhoelst
authors.forename: B
authors.initials: B
authors.lastname: De Ketelaere
authors.forename: M
authors.initials: M
authors.lastname: Bain
authors.forename: E
authors.initials: E
authors.lastname: Decuypere
authors.forename: J
authors.initials: J
authors.lastname: De Baerdemaeker
mesh_terms: D000822:Animal Husbandry; D000818:Animals; D002645:Chickens; D004528:Egg Shell / Q000502:physiology*; D005525:Food-Processing Industry; D006799:Housing, Animal; D016015:Logistic Models; D016017:Odds Ratio