↓ Skip to main content

Genetic selection for temperament traits in dairy and beef cattle

Overview of attention for article published in Frontiers in Genetics, October 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
twitter
5 X users

Citations

dimensions_citation
167 Dimensions

Readers on

mendeley
284 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genetic selection for temperament traits in dairy and beef cattle
Published in
Frontiers in Genetics, October 2014
DOI 10.3389/fgene.2014.00368
Pubmed ID
Authors

Marie J. Haskell, Geoff Simm, Simon P. Turner

Abstract

Animal temperament can be defined as a response to environmental or social stimuli. There are a number of temperament traits in cattle that contribute to their welfare, including their response to handling or milking, response to challenge such as human approach or intervention at calving, and response to conspecifics. In a number of these areas, the genetic basis of the trait has been studied. Heritabilities have been estimated and in some cases quantitative trait loci (QTL) have been identified. The variation is sometimes considerable and moderate heritabilities have been found for the major handling temperament traits, making them amenable to selection. Studies have also investigated the correlations between temperament and other traits, such as productivity and meat quality. Despite this, there are relatively few examples of temperament traits being used in selection programmes. Most often, animals are screened for aggression or excessive fear during handling or milking, with extreme animals being culled, or EBVs for temperament are estimated, but these traits are not commonly included routinely in selection indices, despite there being economic, welfare and human safety drivers for their. There may be a number of constraints and barriers. For some traits and breeds, there may be difficulties in collecting behavioral data on sufficiently large populations of animals to estimate genetic parameters. Most selection indices require estimates of economic values, and it is often difficult to assign an economic value to a temperament trait. The effects of selection primarily for productivity traits on temperament and welfare are discussed. Future opportunities include automated data collection methods and the wider use of genomic information in selection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 2 <1%
Czechia 1 <1%
France 1 <1%
Unknown 278 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 47 17%
Student > Ph. D. Student 41 14%
Student > Bachelor 38 13%
Researcher 28 10%
Student > Doctoral Student 16 6%
Other 33 12%
Unknown 81 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 130 46%
Veterinary Science and Veterinary Medicine 27 10%
Biochemistry, Genetics and Molecular Biology 13 5%
Psychology 3 1%
Medicine and Dentistry 3 1%
Other 14 5%
Unknown 94 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 August 2023.
All research outputs
#3,028,572
of 26,449,643 outputs
Outputs from Frontiers in Genetics
#755
of 13,987 outputs
Outputs of similar age
#32,947
of 273,353 outputs
Outputs of similar age from Frontiers in Genetics
#7
of 117 outputs
Altmetric has tracked 26,449,643 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,987 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 273,353 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.