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Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses

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  • Birgit Gredler-Grandl, Wageningen University, Wageningen, Netherlands.
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  • B. Raymond, Wagningen University
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  • G.C.B. Schopen, Wagening Agricultural University
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  • P.K. Chitneedi, Institute for Genome Biology
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  • Zexi Cai
  • Coralia Ines V Manzanilla Pech
  • Terhi Iso-Touru, Natural Resources Institute Finland (Luke), Finland
  • Daniel Fischer, Natural Resources Institute Finland (Luke), Jokioinen
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  • Sunduimijid Bolormaa, Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, Vic, 3083, Australia.
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  • Tatiane C.S. Chud, University of Guelph, Fast Genetics, Saskatoon, SK S7K 2K6, Canada
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  • F S Schenkel, Centre for the Genetic Improvement of Livestock, University of Guelph, Canada
  • Yabing Wang, Alberta Agriculture and Rural Development, Lacombe, Canada, Univ Alberta, University of Alberta, Dept Agr Food & Nutr Sci
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  • Changxi Li, Univ Alberta, University of Alberta, Dept Agr Food & Nutr Sci, Alberta Agriculture and Rural Development, Lacombe, Canada
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  • Dagnachew Hailemariam, Univ Alberta, University of Alberta, Dept Agr Food & Nutr Sci, Alberta Agriculture and Rural Development, Lacombe, Canada
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  • B. Villanueva, Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, INIA-CSIC Crta. de la Coruña km 7.5, 28040 Madrid, Spain
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  • A. Fernandez, Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, INIA-CSIC Crta. de la Coruña km 7.5, 28040 Madrid, Spain
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  • C Kuehn, Institute for Genome Biology, Danmark
  • Goutam Sahana
  • M Lidauer, Natural Resources Institute Finland (Luke), Finland
  • J.E. Pryce, Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, Vic, 3083, Australia., La Trobe University, Danmark
  • Oscar González-Recio, Departamento de Mejora Genética Animal, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, INIA-CSIC Crta. de la Coruña km 7.5, 28040 Madrid, Spain, Spanien
  • Graham Plastow, Univ Alberta, University of Alberta, Dept Agr Food & Nutr Sci
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  • Christine F. Baes, University of Guelph, University of Bern
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  • Noureddine Charfeddine, Spanish Confereration of Holstein Associations, Spanien
  • Y de Haas, Animal Breeding and Genomics Center of Wageningen UR Livstock Research, Holland
  • Roel Veerkamp, Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, Holland
  • Aniek C Bouwman, Wageningen University and Research Centre, Ukendt
We evaluated the accuracy of biology informed genomic prediction for dry matter intake in 2,162 Dutch Holstein cows. Sequence variants were selected from meta-analyses including GWAS summary statistics for QTL and metabolomic QTL in several dairy and crossbred beef populations. Selected variants were prioritized in GBLUP models in a five-fold crossvalidation. The accuracies were compared to genomic prediction based on routine 50k genotype data. The average accuracy for the 50k scenario was 0.683. Adding selected sequence variants in the GBLUP model did not improve the accuracies for dry matter intake. Next steps will
include testing Bayesian variable selection methods to prioritize variants in genomic prediction for dry matter intake.
OriginalsprogEngelsk
TitelWCGALP 2022 Programme book
ForlagWageningen Academic Publishers
Udgivelsesår2022
StatusUdgivet - 2022
BegivenhedWorld Congress on Genetics Applied to Livestock Production - Rotterdam, Holland
Varighed: 3 jul. 20228 jul. 2022
Konferencens nummer: 12
https://wcgalp.com/

Konference

KonferenceWorld Congress on Genetics Applied to Livestock Production
Nummer12
LandHolland
ByRotterdam
Periode03/07/202208/07/2022
Internetadresse

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