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Estimating Animal Abundance in Ground Beef Batches Assayed with Molecular Markers

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 f...

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Autores principales: Hu, Xin-Sheng, Simila, Janika, Platz, Sindey Schueler, Moore, Stephen S., Plastow, Graham, Meghen, Ciaran N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3316629/
https://www.ncbi.nlm.nih.gov/pubmed/22479559
http://dx.doi.org/10.1371/journal.pone.0034191
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author Hu, Xin-Sheng
Simila, Janika
Platz, Sindey Schueler
Moore, Stephen S.
Plastow, Graham
Meghen, Ciaran N.
author_facet Hu, Xin-Sheng
Simila, Janika
Platz, Sindey Schueler
Moore, Stephen S.
Plastow, Graham
Meghen, Ciaran N.
author_sort Hu, Xin-Sheng
collection PubMed
description 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.
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spelling pubmed-33166292012-04-04 Estimating Animal Abundance in Ground Beef Batches Assayed with Molecular Markers Hu, Xin-Sheng Simila, Janika Platz, Sindey Schueler Moore, Stephen S. Plastow, Graham Meghen, Ciaran N. PLoS One Research Article 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. Public Library of Science 2012-03-30 /pmc/articles/PMC3316629/ /pubmed/22479559 http://dx.doi.org/10.1371/journal.pone.0034191 Text en Hu et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hu, Xin-Sheng
Simila, Janika
Platz, Sindey Schueler
Moore, Stephen S.
Plastow, Graham
Meghen, Ciaran N.
Estimating Animal Abundance in Ground Beef Batches Assayed with Molecular Markers
title Estimating Animal Abundance in Ground Beef Batches Assayed with Molecular Markers
title_full Estimating Animal Abundance in Ground Beef Batches Assayed with Molecular Markers
title_fullStr Estimating Animal Abundance in Ground Beef Batches Assayed with Molecular Markers
title_full_unstemmed Estimating Animal Abundance in Ground Beef Batches Assayed with Molecular Markers
title_short Estimating Animal Abundance in Ground Beef Batches Assayed with Molecular Markers
title_sort estimating animal abundance in ground beef batches assayed with molecular markers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3316629/
https://www.ncbi.nlm.nih.gov/pubmed/22479559
http://dx.doi.org/10.1371/journal.pone.0034191
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