Chicken carcass and feet condemnation big data

Name: Chicken carcass and feet condemnation big data
Creator: Lindomar Pereira da Silva Filho
Published: 2026-01-22T10:48:51.415Z
Keywords: Food Safety, Poultry Science, Evidence-Based Practice in Research, Random Effects Model

Pereira da Silva Filho, Lindomar; Franco Rocha, Guilherme; Ferreira Mamede, Karina; Jardim Kinchin, Gabriele; Fernanda de Sousa Braga, Paula; Vinicius Coutinho Cossi, Marcus; Beatriz Fonseca, Belchiolina; Vieira, Bruno

doi:10.17632/jrzhr4wysx.1

Chicken carcass and feet condemnation big data

Published: 22 January 2026| Version 1 | DOI: 10.17632/jrzhr4wysx.1

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Description

This is a three-year daily condemnation report of over 266 million broilers slaughtered by a large-scale poultry integrator in Brazil, used to compare two distinct methods of analysis: fixed-effect model (ANOVA) and random-effects model (REML), to identify main causes of condemnation. The “raw dataset” comprised 6,538 rows of information, each one showing the total number of birds slaughtered and condemned, from the same producer, on a given processing day. The "adjusted dataset" comprised all the 6,489 rows used to perform ANOVA. The "condensed dataset" comprised all the 163 rows used to perform REML analysis.

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Universidade Federal de Uberlandia
MG, Uberlandia

Chicken carcass and feet condemnation big data

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