Evidence map›Paper›PMID 38616881›Full record

ArticleJournal of animal science and technology2023

Parameter estimation and assessment of bias in genetic evaluation of carcass traits in Hanwoo cattle using real and simulated data.

Mohammed Bedhane, Julius van der Werf, Sara de Las Heras-Saldana, Leland Ackerson, Dajeong Lim, Byoungho Park, Mi Na Park, Seunghee Roh, Samuel Clark

Abstract read
In one paragraph

Article in Journal of animal science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Mohammed BedhaneCollege of Agriculture & Natural Resources, Michigan State University, East Lansing, MI 48824, USA.ORCID https://orcid.org/0000-0003-4149-4118
Julius van der WerfSchool of Environmental and Rural Science, University of New England, Armidale, NSW 2350, Australia.ORCID https://orcid.org/0000-0003-2512-1696
Sara de Las Heras-SaldanaSchool of Environmental and Rural Science, University of New England, Armidale, NSW 2350, Australia.ORCID https://orcid.org/0000-0002-8665-6160
Leland AckersonCollege of Agriculture & Natural Resources, Michigan State University, East Lansing, MI 48824, USA.ORCID https://orcid.org/0009-0004-6179-7604
Dajeong LimNational Institute of Animal Science, RDA, Wanju 55365, Korea.ORCID https://orcid.org/0000-0003-3966-9150
Byoungho ParkNational Institute of Animal Science, RDA, Wanju 55365, Korea.ORCID https://orcid.org/0000-0001-6195-4519
Mi Na ParkNational Institute of Animal Science, RDA, Wanju 55365, Korea.ORCID https://orcid.org/0000-0001-7078-9463
Seunghee RohHanwoo Genetic Improvement Center, NAGL, Cheonan 31000, Korea.ORCID https://orcid.org/0000-0003-0267-8846
Samuel ClarkSchool of Environmental and Rural Science, University of New England, Armidale, NSW 2350, Australia.ORCID https://orcid.org/0000-0001-8605-1738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most carcass and meat quality traits are moderate to highly heritable, indicating that they can be improved through selection. Genetic evaluation for these types of traits is performed using performance data obtained from commercial and progeny testing evaluation. The performance data from commercial farms are available in large volume, however, some drawbacks have been observed. The drawback of the commercial data is mainly due to sorting of animals based on live weight prior to slaughter, and this could lead to bias in the genetic evaluation of later measured traits such as carcass traits. The current study has two components to address the drawback of the commercial data. The first component of the study aimed to estimate genetic parameters for carcass and meat quality traits in Korean Hanwoo cattle using a large sample size of industry-based carcass performance records (n = 469,002). The second component of the study aimed to describe the impact of sorting animals into different contemporary groups based on an early measured trait and then examine the effect on the genetic evaluation of subsequently measured traits. To demonstrate our objectives, we used real performance data to estimate genetic parameters and simulated data was used to assess the bias in genetic evaluation. The results of our first study showed that commercial data obtained from slaughterhouses is a potential source of carcass performance data and useful for genetic evaluation of carcass traits to improve beef cattle performance. However, we observed some harvesting effect which leads to bias in genetic evaluation of carcass traits. This is mainly due to the selection of animal based on their body weight before arrival to slaughterhouse. Overall, the non-random allocation of animals into a contemporary group leads to a biased estimated breeding value in genetic evaluation, the severity of which increases when the evaluation traits are highly correlated.

Indexed as

Carcass traitsCommercial dataGenetic evaluationHanwooHeritabilitySimulation study

Identifiers

PMID38616881
PMCPMC11007296

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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.