Evidence map›Paper›PMID 36482399›Full record

ArticleBMC veterinary research2022

Time series evaluation of condemnation at poultry slaughterhouses enable to export in Southeastern Brazil (2009-2019): a tool for optimizing resources in the poultry production chain.

Maria Carolina Hortêncio, Letícia Roberta Martins Costa, Maria Victória Pereira de Souza, Weslley Domenicci de Freitas, Belchiolina Beatriz Fonseca, Marcelo José Barbosa Silva, Marcus Vinícius Coutinho Cossi

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Article in BMC veterinary research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Maria Carolina HortêncioFederal Inspection Service, Ministry of Agriculture, Livestock and Supply (MAPA), Uberlândia, Minas Gerais, Brazil.
Letícia Roberta Martins CostaFederal University of Uberlândia (UFU), Campus Umuarama, Uberlândia, Minas Gerais, 38405-240, Brazil.
Maria Victória Pereira de SouzaFederal University of Uberlândia (UFU), Campus Umuarama, Uberlândia, Minas Gerais, 38405-240, Brazil.
Weslley Domenicci de FreitasFederal University of Uberlândia (UFU), Campus Umuarama, Uberlândia, Minas Gerais, 38405-240, Brazil.
Belchiolina Beatriz FonsecaFederal University of Uberlândia (UFU), Campus Umuarama, Uberlândia, Minas Gerais, 38405-240, Brazil.
Marcelo José Barbosa SilvaFederal University of Uberlândia (UFU), Campus Umuarama, Uberlândia, Minas Gerais, 38405-240, Brazil.
Marcus Vinícius Coutinho CossiFederal University of Uberlândia (UFU), Campus Umuarama, Uberlândia, Minas Gerais, 38405-240, Brazil. marcuscossi@yahoo.com.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEven with the technological advances in management, health and genetics applied to poultry farming worldwide, there is still a high rate of carcasses condemnation at slaughterhouses, which result in losses for the poultry production chain. Thus, this work aimed to evaluate the condemnation occurrence index (COI) and adjusted seasonal index (ASI) of poultry (turkey, griller, and heavy chicken) between 2009 and 2019, in a slaughterhouse enable to export in southeastern Brazil. Data were obtained from official spreadsheets from the Brazilian Federal Inspection Service (FIS) and used to calculate the COI, correlation analysis between the main causes of condemnation, and ASI assessments throughout the year.

resultsSeven percent (55,594,318) of the poultry carcasses were condemned (partial or total), and the most frequent causes, contamination, and contusion/traumatic injury, amounted to 63.5% of the total condemnation. There was a trend of increasing condemnation throughout the time series evaluated, with COI varying between 45,282-149,809 condemnations per 1,000,000 poultry slaughtered. Considering the ASI, it was identified that for ascitic syndrome, July has a higher index value (1.63) than the months between January-June (P < 0.05).

conclusionsThe main causes of condemnation were contamination and contusion/traumatic injury, both technological causes. ASI showed that in July there is a greater carcasses condemnation due to ascitic syndrome than in the months between January and June. The variations observed in the ASIs can provide subsidies for preventive measures and optimization of human and financial resources, generating positive impacts on food safety, productivity, and profitability of the sector.

Indexed as

Time FactorsAnimalsBrazilHumansBroilerFood safetyInspectionTurkey

Identifiers

PMID36482399
PMCPMC9730635

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.