Evidence map›Paper›PMID 40342961›Full record

ArticleFrontiers in genetics2025

Genomic and health characteristics of crossbred dairy cattle in central Uganda.

Enrique Sanchez-Molano, Robert Mukiibi, Valentina Riggio, Joel Ogwang, Leonard Kawule, Katali Benda, Peter Beine, Barend M de Clare Bronsvoort, James Prendergast, Andrea B Doeschl-Wilson and 1 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Enrique Sanchez-MolanoThe Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, United Kingdom.
Robert MukiibiThe Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, United Kingdom.
Valentina RiggioThe Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, United Kingdom.
Joel OgwangNational Animal Genetic Resources Centre and Data Bank, Entebbe, Uganda.
Leonard KawuleVetline Services Ltd., Kampala, Uganda.
Katali BendaNational Animal Genetic Resources Centre and Data Bank, Entebbe, Uganda.
Peter BeineNational Animal Genetic Resources Centre and Data Bank, Entebbe, Uganda.
Barend M de Clare BronsvoortThe Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, United Kingdom.
James PrendergastThe Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, United Kingdom.
Andrea B Doeschl-WilsonThe Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, United Kingdom.
Adrian MuwongeThe Roslin Institute and R(D)SVS, University of Edinburgh, Easter Bush, Midlothian, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In Africa, dairy cattle contribute significantly to the economy; however, a substantial proportion of these animals are low-yielding indigenous breeds. To increase dairy productivity, crossbreeding with exotic breeds such as European Holstein and Jersey is becoming increasingly common. Uncontrolled crossbreeding practices, however, pose a risk to the genetic integrity of local breeds, as highly productive but potentially maladapted animals may replace indigenous populations. This study aimed to characterise the genetic structure of crossbred dairy cattle in Uganda. Methods: We used admixture analysis, while also assessing genomic diversity and inbreeding levels. Additionally, we evaluated the utility of farmer-generated phenotypic databases by integrating them with genomic data to explore the impact of exotic breed crossbreeding on disease frequency. Results and discussion: Findings from this study show a strong influence of exotic breeds (e.g., Holstein) in Ugandan crossbred cattle, leading to lower inbreeding and observed homozygosity than those observed for indigenous breeds. Exploratory analyses of available disease records provided evidence of a strong survivor bias, likely linked to higher mortality rates from diseases such as East Coast fever. These results show the importance of investigating the genetic composition of farm animals, in order to develop informed and sustainable breeding strategies in African dairy cattle systems.

Indexed as

admixturecrossbreedingdairy cattleEast Africagenomics

Identifiers

PMID40342961
PMCPMC12058653

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.