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Challenges and Opportunities in Applying Genomic Selection to Ruminants Owned by Smallholder Farmers

Author

Listed:
  • Heather M. Burrow

    (Faculty of Science, Agriculture, Business and Law, University of New England, Armidale 2351, Australia)

  • Raphael Mrode

    (Animal Biosciences, International Livestock Research Institute, Scotland’s Rural College, Roslin Institute Building, Easter Bush, Edinburgh EH125 9RG, UK)

  • Ally Okeyo Mwai

    (Animal Biosciences, International Livestock Research Institute, Nairobi P.O. Box 00100, Kenya)

  • Mike P. Coffey

    (Animal Breeding and Genomics, Scotland’s Rural College, Roslin Institute Building, Easter Bush, Edinburgh EH125 9RG, UK)

  • Ben J. Hayes

    (Queensland Alliance for Agriculture and Food Innovation, University of Queensland, 306 Carmody Road, St Lucia 4067, Australia)

Abstract

Genomic selection has transformed animal and plant breeding in advanced economies globally, resulting in economic, social and environmental benefits worth billions of dollars annually. Although genomic selection offers great potential in low- to middle-income countries because detailed pedigrees are not required to estimate breeding values with useful accuracy, the difficulty of effective phenotype recording, complex funding arrangements for a limited number of essential reference populations in only a handful of countries, questions around the sustainability of those livestock-resource populations, lack of on-farm, laboratory and computing infrastructure and lack of human capacity remain barriers to implementation. This paper examines those challenges and explores opportunities to mitigate or reduce the problems, with the aim of enabling smallholder livestock-keepers and their associated value chains in low- to middle-income countries to also benefit directly from genomic selection.

Suggested Citation

  • Heather M. Burrow & Raphael Mrode & Ally Okeyo Mwai & Mike P. Coffey & Ben J. Hayes, 2021. "Challenges and Opportunities in Applying Genomic Selection to Ruminants Owned by Smallholder Farmers," Agriculture, MDPI, vol. 11(11), pages 1-15, November.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:11:p:1172-:d:683923
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    References listed on IDEAS

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    1. Peter M Visscher & Gibran Hemani & Anna A E Vinkhuyzen & Guo-Bo Chen & Sang Hong Lee & Naomi R Wray & Michael E Goddard & Jian Yang, 2014. "Statistical Power to Detect Genetic (Co)Variance of Complex Traits Using SNP Data in Unrelated Samples," PLOS Genetics, Public Library of Science, vol. 10(4), pages 1-10, April.
    2. Delgado, Christopher L. & Rosegrant, Mark W. & Steinfeld, Henning & Ehui, Simeon K. & Courbois, Claude, 1999. "Livestock to 2020: the next food revolution," 2020 vision briefs 61, International Food Policy Research Institute (IFPRI).
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    Cited by:

    1. Nuzul Widyas & Tri Satya Mastuti Widi & Sigit Prastowo & Ika Sumantri & Ben J. Hayes & Heather M. Burrow, 2022. "Promoting Sustainable Utilization and Genetic Improvement of Indonesian Local Beef Cattle Breeds: A Review," Agriculture, MDPI, vol. 12(10), pages 1-25, September.
    2. Xu Zheng & Tianliu Zhang & Tianzhen Wang & Qunhao Niu & Jiayuan Wu & Zezhao Wang & Huijiang Gao & Junya Li & Lingyang Xu, 2022. "Long-Term Impact of Genomic Selection on Genetic Gain Using Different SNP Density," Agriculture, MDPI, vol. 12(9), pages 1-12, September.

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