Prevalence of Mycoplasma Synoviae in eggs from laying hens using ELISA

Vaibhav Gole, Kapil Chousalkar, Jan Lievaart, Jason Roberts

Research output: Book chapter/Published conference paperConference paper

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Abstract

Mycoplasma synoviae (M. synoviae) can cause respiratory disease, synovitis, peritonitis, egg apical abnormalities or a subclinical infection. The importance of M. synoviae is well established in broilers but only a few studies have been conducted in layers. In the present study, the prevalence of M. synoviae in commercial layer flocks was determined by ELISA using egg yolk antibodies. Subsequently, a possible correlation between the serological status of M. synoviae and egg shell quality was also studied. In the flocks under study, seroprevalence of M. synoviae was found to be 69 % (95 % confidence interval (CI) = 47 to 91). Statistical analysis showed that the vaccinated group (3.0 ± 0.1) had the highest translucency score as compared to infected (2.4 ± 0.1) and uninfected (2.5 ± 0.1) groups, whereas % shell reflectivity was highest in the infected group (31.41 ± 0.3) as compared to the other two groups. Shell breaking strength (39.5 ± 0.5 Newtons) and shell deformation (298.7 ± 3.8 'm) values were significantly lower in the infected group than in the uninfected and vaccinated groups. There was no significant difference among these three groups for egg quality parameters egg weight, egg shell weight, % egg shell, shell thickness.
Original languageEnglish
Title of host publication23rd Annual Proceedings
EditorsJ. Roberts
Place of PublicationAustralia
PublisherSydney University
Pages205-209
Number of pages5
Publication statusPublished - 2012
EventAustralian Poultry Science Symposium - Sydney, Australia
Duration: 19 Feb 201222 Feb 2012

Publication series

Name
ISSN (Print)1034-6260

Conference

ConferenceAustralian Poultry Science Symposium
CountryAustralia
Period19/02/1222/02/12

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    Gole, V., Chousalkar, K., Lievaart, J., & Roberts, J. (2012). Prevalence of Mycoplasma Synoviae in eggs from laying hens using ELISA. In J. Roberts (Ed.), 23rd Annual Proceedings (pp. 205-209). Sydney University.