Evidence map›Paper›PMID 34468837›Full record

ArticleInternational journal of biometeorology2022

The impact of weather on the incidence of dark cutting in Australian feedlot cattle.

Cameron Steel, A M Lees, G Tarr, R Warner, F Dunshea, F Cowley, P McGilchrist

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of biometeorology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
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, 11 citations in OpenAlex.

  1. Article
  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

7 authors at 4 institutions in 2 countries.

Cameron SteelSchool of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia. csteel5@une.edu.au.ORCID http://orcid.org/0000-0002-1407-0689
A M LeesSchool of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia.
G TarrSchool of Mathematics and Statistics, The University of Sydney, Sydney, NSW, 2006, Australia.
R WarnerFaculty of Veterinary and Agricultural Sciences, School of Agriculture and Food, The University of Melbourne, Melbourne, VIC, 3010, Australia.
F DunsheaFaculty of Veterinary and Agricultural Sciences, School of Agriculture and Food, The University of Melbourne, Melbourne, VIC, 3010, Australia.
F CowleySchool of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia.
P McGilchristSchool of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia.
University of New England · AUThe University of Melbourne · AUThe University of Sydney · AUUniversity of Leeds · GB

Funding

Meat and Livestock Australia B.FLT.0399
6 · The paper itself

Abstract

This study conducted a retrospective analysis of historical Meat Standard Australia (MSA) carcass data in combination with Bureau of Meteorology (BOM) weather data, to evaluate the relationship between climatic conditions prior to feedlot departure on the incidence of dark cutting grain-fed beef. Data records for 2,795,754 carcasses from 17 commercial feedlots over a 6-year period were evaluated within this study. Carcasses were consigned to 16 abattoirs. Weather data from BOM were recorded at 30-min intervals and were obtained from weather stations with the closest proximity to each feedlot. These data were used to calculate the Temperature Humidity Index (THI). Climatic data were amalgamated into daily observations and a series of predictors including ambient temperature (T

Indexed as

WeatherAnimalsAustraliaCattleHumidityIncidenceRetrospective StudiesSeasonsHeat loadHeat stressTemperature Humidity IndexThermal comfort

Identifiers

PMID34468837
OpenAlexW3197502912

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.