Spectral technique for detection of changes in eggshells caused by Mycoplasma synoviae

Zofia Maria Lorenc , Sławomir Paśko , Olimpia Kursa , Anna Pakuła , Leszek Sałbut

Abstract

Mycoplasma synoviae (MS) is a major pathogen in chicken and turkeys, causing subclinical infection. MS infections are highly prevalent and may potentate and be involved in sinovitis, respiratory syndromes, as well as lead to eggshell apex abnormality (EAA). A deformed, inhomogeneous eggshell is susceptible to cracks and breaks through which microbes get in and additionally entails higher water loss in the egg during the entire incubation process. Not all eggs with eggshell apex abnormality possess characteristic deformation and that is why some eggs may be incorrectly classified during a visual inspection. To minimize the above risk, the spectral VIS technique and the analysis based on the classification tree method—CTM is proposed. The method makes use of specially defined parameters extracted from the shape of transmittance spectra of eggshells. Directional coefficients of the lines adjusted to the specific ranges of the transmittance spectrum are used in the process of classifying samples as those from MS-carrying hens and from healthy hens. Three CTM-based classifiers were created for a group of white, brown, and mixed shells. After comparing, it can be concluded that the best results were obtained for the group of brown shells (accuracy 88%, specificity 88%, and false negative rate 13%). The authors present a non-invasive spectral method that utilizes eggshells, i.e., the natural waste from chicken farms. The method enables entering data into the classifiers described in the article. The process provides an opportunity to correctly assign, the examined shell to the group of shells with increased risk—with approx. 86% accuracy. This means that, if a few of such results are registered, the herd is eligible more specific studies targeting MS bacteria. Regular spectral testing can support the detection of egg lesions in MS positive flocks.
Author Zofia Maria Lorenc (FM / IMPh)
Zofia Maria Lorenc,,
- The Institute of Micromechanics and Photonics
, Sławomir Paśko (FM / IMPh)
Sławomir Paśko,,
- The Institute of Micromechanics and Photonics
, Olimpia Kursa - Państwowy Instytut Weterynaryjny - Państwowy Instytut Badawczy
Olimpia Kursa,,
-
, Anna Pakuła (FM / IMPh)
Anna Pakuła,,
- The Institute of Micromechanics and Photonics
, Leszek Sałbut (FM / IMPh)
Leszek Sałbut,,
- The Institute of Micromechanics and Photonics
Journal seriesJournal of Poultry Science, ISSN 1346-7395, (N/A 40 pkt)
Issue year2019
Vol98
No9
Pages1-7
Publication size in sheets0.5
Keywords in Englishspectral technique, Mycoplasma synoviae, transmittance spectrum, classification tree method CTM, binary classification
ASJC Classification1103 Animal Science and Zoology
DOIDOI:10.3382/ps/pez150
URL https://doi.org/10.3382/ps/pez150
Languageen angielski
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 20-10-2019, ArticleFromJournal
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 0.728; WoS Impact Factor: 2017 = 0.86 (2) - 2017=0.803 (5)
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