Terhi Iso-Touru, Luke Natural Resources Institute Finland, Finland
Daniel Fischer, Luke Natural Resources Institute Finland
,
Sunduimijid Bolormaa, Agriculture Victoria
,
Tatiane C.S. Chud, University of Guelph, Fast Genetics, Saskatoon, SK S7K 2K6, Canada
,
F S Schenkel, University of Guelph, Canada
Yabing Wang, Alberta Agriculture and Rural Development, Lacombe, Canada, University of Alberta
,
Changxi Li, University of Alberta, Alberta Agriculture and Rural Development, Lacombe, Canada
,
Dagnachew Hailemariam, University of Alberta, Alberta Agriculture and Rural Development, Lacombe, Canada
,
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
,
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
M Lidauer, Luke Natural Resources Institute Finland, Finland
J.E. Pryce, Agriculture Victoria, La Trobe University, Denmark
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, Spain
Graham Plastow, University of Alberta
,
Christine F. Baes, University of Guelph, University of Bern
,
Noureddine Charfeddine, Spanish Confereration of Holstein Associations, Spain
Y de Haas, Wageningen University & Research, Netherlands
Roel Veerkamp, Wageningen University & Research, Netherlands
Aniek C Bouwman, Wageningen University & Research, Unknown
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.
Original language
English
Title of host publication
WCGALP 2022 Programme book
Number of pages
4
Publisher
Wageningen Academic Publishers
Publication year
Jul 2022
Publication status
Published - Jul 2022
Event
World Congress on Genetics Applied to Livestock Production - Rotterdam, Netherlands Duration: 3 Jul 2022 → 8 Jul 2022 Conference number: 12 https://wcgalp.com/
Conference
Conference
World Congress on Genetics Applied to Livestock Production
