Estimating animal abundance in ground beef batches assayed with molecular markers

Hu, Xin-Sheng, Simila, Janika, Platz, Sindey Schueler, Moore, Stephen S., Plastow, Graham and Meghen, Ciaran N. (2012) Estimating animal abundance in ground beef batches assayed with molecular markers. PLoS One, 7 3: . doi:10.1371/journal.pone.0034191

Author Hu, Xin-Sheng
Simila, Janika
Platz, Sindey Schueler
Moore, Stephen S.
Plastow, Graham
Meghen, Ciaran N.
Title Estimating animal abundance in ground beef batches assayed with molecular markers
Journal name PLoS One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2012-03-30
Year available 2012
Sub-type Article (original research)
DOI 10.1371/journal.pone.0034191
Open Access Status DOI
Volume 7
Issue 3
Total pages 12
Place of publication San Francisco, CA United States
Publisher Public Library of Science
Collection year 2013
Language eng
Subject 1100 Agricultural and Biological Sciences
1300 Biochemistry, Genetics and Molecular Biology
2700 Medicine
Abstract Estimating animal abundance in industrial scale batches of ground meat is important for mapping meat products through the manufacturing process and for effectively tracing the finished product during a food safety recall. The processing of ground beef involves a potentially large number of animals from diverse sources in a single product batch, which produces a high heterogeneity in capture probability. In order to estimate animal abundance through DNA profiling of ground beef constituents, two parameter-based statistical models were developed for incidence data. Simulations were applied to evaluate the maximum likelihood estimate (MLE) of a joint likelihood function from multiple surveys, showing superiority in the presence of high capture heterogeneity with small sample sizes, or comparable estimation in the presence of low capture heterogeneity with a large sample size when compared to other existing models. Our model employs the full information on the pattern of the capture-recapture frequencies from multiple samples. We applied the proposed models to estimate animal abundance in six manufacturing beef batches, genotyped using 30 single nucleotide polymorphism (SNP) markers, from a large scale beef grinding facility. Results show that between 411~1367 animals were present in six manufacturing beef batches. These estimates are informative as a reference for improving recall processes and tracing finished meat products back to source.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Queensland Alliance for Agriculture and Food Innovation
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