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ORIGINAL RESEARCH article

Front. Genet.

Sec. Livestock Genomics

Volume 16 - 2025 | doi: 10.3389/fgene.2025.1567910

Genomic and health characteristics of crossbred dairy cattle in Central Uganda

Provisionally accepted
  • 1 Roslin Institute, University of Edinburgh, Edinburgh, Scotland, United Kingdom
  • 2 National Animal Genetic Resources Centre & Data Bank, Entebbe, Uganda
  • 3 Vetline Services LTD, Kiwanga - Lumuli Rd Opp. Fish Ponds, Uganda, Kampala, Uganda

The final, formatted version of the article will be published soon.

    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 through 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. 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.

    Keywords: dairy cattle, East Africa, Crossbreeding, admixture, Genomics

    Received: 28 Jan 2025; Accepted: 04 Apr 2025.

    Copyright: © 2025 Sanchez-Molano, Mukiibi, Riggio, Ogwang, Kawule, Benda, Beine, Bronsvoort, Prendergast, Doeschl-Wilson and Muwonge. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Enrique Sanchez-Molano, Roslin Institute, University of Edinburgh, Edinburgh, EH25 9RG, Scotland, United Kingdom

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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