Evidence map›Paper›PMID 40319387›Full record

ArticleJournal of animal science2025

Impact of genomic selection for growth and carcass traits on foot structure in Angus cattle.

Zuleica Trujano, Jorge Hidalgo, Gopal Gowane, Kelli Retallick, Andre Garcia, Daniela Lourenco, Ignacy Misztal

Abstract read
In one paragraph

Article in Journal of animal science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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.

Zuleica TrujanoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-3242-1040
Jorge HidalgoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-0783-381X
Gopal GowaneDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0001-6535-7818
Kelli RetallickAngus Genetics Inc., American Angus Association, Saint Joseph, MO 64506, USA.
Andre GarciaAngus Genetics Inc., American Angus Association, Saint Joseph, MO 64506, USA.
Daniela LourencoDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0003-3140-1002
Ignacy MisztalDepartment of Animal and Dairy Science, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0002-0382-1897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic evaluation improves accuracy and enables shorter generation intervals, accelerating genetic changes, possibly strengthening the antagonism between performance and less-selected traits. Our objective was to evaluate the impact of genomic selection for performance on foot structure in Angus cattle. Variance component estimation was done under the Bayesian approach (variance components estimation [VCE]) with partial or no genotypes, and with a new method based on predictivity (PRED) using all genotypes, to examine changes in genetic parameters over time. The performance trait groups were growth (GT), carcass (carcass traits [CT]), ultrasound carcass (uCT), and marbling (MT). Foot structure traits (FT) were foot angle (FA) and claw set (CS). Genetic parameters through VCE over 5-yr intervals and using genotypes were obtained. From 2011 to 2015 to 2019 to 2022, changes in heritability were observed for CS (0.12 ± 0.01 to 0.16 ± 0.01), FA (0.18 ± 0.02 to 0.14 ± 0.01), carcass weight (0.30 ± 0.03 to 0.35 ± 0.04), marbling (0.43 ± 0.02 to 0.60 ± 0.04), and ultrasound backfat thickness (0.32 ± 0.01 to 0.38 ± 0.01). Changes in genetic correlations were found for CS-carcass weight (0.25 ± 0.15 to -0.04 ± 0.08), CS-rib eye area (0.20 ± 0.11 to -0.12 ± 0.08), and CS-weight at ultrasound scanning (0.12 ± 0.06 to 0.0 ± 0.03). For PRED, estimates from two 2-yr slices showed that most GT and uCT heritabilities were lower than those from the last VCE interval (e.g., birth weight: 0.34 vs. 0.26). In comparison, FT heritabilities were higher (e.g., CS: 0.16 vs. 0.29). In general, all genetic correlations from PRED ranged from -0.15 to 0.10, whereas the values were between -0.15 and 0.05 in the last interval based on VCE. The predictivity method provides updated genetic parameters for young animals, whereas VCE estimates refer to the base population. Including genotypes had a strong impact on some estimates. Our results indicate that heritability estimates in recent generations for strongly selected traits have decreased compared to older generations. However, genetic correlations between foot structure and performance traits have consistently remained close to zero, likely due to the differences in selection intensity between these traits. While no strong antagonistic correlations were found, selecting multiple traits is crucial to maintain conformation while improving performance. Since the population structure changes due to genetic or environmental factors, updating the genetic parameters is vital for achieving expected genetic gains.

Indexed as

FootHoof and ClawSelection, GeneticAnimalsBayes TheoremBreedingCattleFemaleGenomicsGenotypeMalePhenotypefeet and legsgenetic correlationheritabilitylarge genomic datapredictivityvariance components estimation

Identifiers

PMID40319387
PMCPMC12235139

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.