Evidence map›Paper›PMID 40580927›Full record

ArticleJournal of animal science2025

Estimation of genetic parameters for mature cow size in North American and Australian Angus cattle.

Ayooluwa O Ojo, Gabriel S Campos, Henrique A Mulim, Andre Garcia, Allan P Schinckel, Christian Duff, Stephen P Miller, Kelli Retallick-Riley, Hinayah R Oliveira

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. Genome-wide association study of mature cow size traits in American Angus cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  2. 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

9 authors.

Ayooluwa O OjoDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.ORCID 0009-0002-9559-5731
Gabriel S CamposDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.ORCID 0000-0002-7459-824X
Henrique A MulimDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.
Andre GarciaAngus Genetics Inc., American Angus Association, St Joseph, MO, USA.
Allan P SchinckelDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.ORCID 0000-0002-8614-7198
Christian DuffAngus Australia, Armidale, Australia.
Stephen P MillerAGBU, A Joint Venture of NSW Department of Primary Industries and Regional Development and University of New England, Armidale, Australia.
Kelli Retallick-RileyAngus Genetics Inc., American Angus Association, St Joseph, MO, USA.
Hinayah R OliveiraDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mature cow size can be effectively controlled through genetic selection. Understanding the genetic relationships between mature cow weight (MWT), mature cow height (MHT), and body condition score (BCS) is essential for implementing effective selection programs to enhance cow efficiency. The objectives of this study were to 1) estimate variance components and genetic parameters for MWT, MHT, and BCS measured in the United States and Australia; 2) estimate the genetic correlation between these traits and early growth and carcass traits; and 3) estimate the genetic correlations among these traits across the two countries. The dataset provided by the American Angus Association comprised of 434,746; 213,875; and 382,156 records for MWT, MHT, and BCS, respectively. The dataset provided by Angus Australia comprised of 206,003; 15,379; and 36,184 records for MWT, MHT, and BCS, respectively. Single-trait repeatability models were used to estimate heritabilities and multiple-trait models were used to estimate genetic correlations between traits and across countries. Heritabilities (SE) for MWT were 0.45 (0.005) and 0.40 (0.006); for MHT 0.57 (0.006) and 0.63 (0.02); and for BCS 0.18 (0.004) and 0.18 (0.01), in the United States and Australia, respectively, highlighting their moderate-to-high genetic control. Genetic correlations within the United States and Australian datasets between MWT and MHT, and MWT and BCS were >0.50, and <0.20 between MHT and BCS. Genetic correlations between MWT, MHT and early growth traits were generally positive and moderate-to-high, ranging from 0.51(0.01) to 0.92(0.003) in the United States and 0.41(0.03) to 0.79(0.05) in Australia. Genetic correlations between BCS and early growth traits were in general positive (<0.30), while genetic correlations between mature cow traits and ultrasound traits ranged from strong positive to strong negative. Genetic correlations between the traits in the two countries were high for MWT = 0.91 (0.02) and MHT = 0.97 (0.02); and moderate for BCS = 0.65 (0.08). Our results suggest that optimizing selection for mature cow traits is feasible, and that a joint evaluation between the United States and Australia could be beneficial.

Indexed as

CattleAnimalsAustraliaBody CompositionBody WeightFemaleUnited Statesbeef cattlebody condition scoregenetic parametermature heightmature weightrepeatability

Identifiers

PMID40580927
PMCPMC12302132

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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.