Evidence map›Paper›PMID 39119361›Full record

ArticleTranslational animal science2024

An analysis of the influence of preslaughter management factors on welfare and meat quality outcomes in fed beef cattle in the United States.

Melissa K Davis, Paxton A Sullivan, Ann M Hess, Mahesh N Nair, Daniel F Mooney, Lily N Edwards-Callaway

Abstract read
In one paragraph

Article in Translational animal science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

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

6 authors.

Melissa K DavisDepartment of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Paxton A SullivanDepartment of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Ann M HessDepartment of Statistics, Colorado State University, Fort Collins, CO 80523, USA.
Mahesh N NairDepartment of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA.
Daniel F MooneyDepartment of Agricultural and Resource Economics, Colorado State University, Fort Collins, CO 80523, USA.
Lily N Edwards-CallawayDepartment of Animal Sciences, Colorado State University, Fort Collins, CO 80523, USA.ORCID https://orcid.org/0000-0002-0737-9899

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the preslaughter phase, cattle are transported from their place of origin to a slaughter facility, experiencing transportation, lairage, environmental factors, and novel environments. Although research exists that has focused how the preslaughter phase impacts cattle welfare and meat quality, some significant preslaughter management factors and subsequent welfare and meat quality outcomes have not been thoroughly explored. The objective of this study was to assess the effects of preslaughter management factors on welfare and meat quality outcomes in fed beef cattle in the United States. Transportation factors, environmental characteristics, lairage factors, cattle characteristics, and several meat quality variables were collected from 5 federally inspected commercial processing facilities in the United States. After excluding slaughter lots that included <75% complete datasets, a total of 619 slaughter lots representing 84,508 head of cattle were used for further analysis. Predictor variables of interest included processing plant, cattle breed, sex class, operation shift at the plant, distance traveled to the plant, truck waiting time to unload at the plant, lairage duration and space allowance, temperature humidity index, and windspeed. Outcome variables of interest included cattle mobility, carcass bruising, dark cutting (DC), quality grades, and hot carcass weights. Logistic and linear regressions were used to analyze the associations between the predictor and outcome variables of interest. Increased distance traveled and truck waiting time were associated with higher odds of mobility impairment (

Indexed as

bruisingdark cuttinglairagemeat qualitymobilitytransportation

Identifiers

PMID39119361
PMCPMC11306929

What OpenQuestion holds

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Registered trials

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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.