Session: Animal Breeding and Genetics V: Genomic Selection II

43 - Single and Multiple-breed Genomic Predictions for Conformation Traits of Canadian Dairy Goats

Saturday, July 17, 2021

3:15 PM – 3:30 PM EST

Location: Kentucky International Convention Center (KICC), M105 & 106

Presenting Author(s)

Erin Massender, M.Sc.

Ph.D. Candidate
Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada
Guelph, Ontario

PDF Slides and Audio

Author(s)

LB

Luiz F. Brito

Assistant Professor
Department of Animal Sciences, Purdue University
West Lafayette, Indiana
LM

Laurence Maignel

Geneticist
Canadian Centre for Swine Improvement Inc., Ottawa, ON, Canada
Ottawa, Ontario
Hinayah R. Oliveira

Postdoctoral Researcher
Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada; Department of Animal Sciences, Purdue University, West Lafayette, IN, USA
Guelph, Ontario
MJ

Mohsen Jafarikia

Geneticist, Research & Development
Canadian Centre for Swine Improvement Inc., Ottawa, ON, Canada; Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada
Guelph, Ontario
Christine F. Baes, BSc., MSc., PhD.

Associate Professor
Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada; Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
Guelph, Ontario
BS

Brian Sullivan

Chief Executive Officer
Canadian Centre for Swine Improvement Inc., Ottawa, ON, Canada
Ottawa, Ontario
Flavio S. Schenkel, BSc., MSc., PhD.

CGIL Director, Professor
Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, ON, Canada
Guelph, Ontario

The use of multiple-breed models can increase the accuracy of estimated breeding values (EBV) when few phenotypes are available for a trait. However, pooling breeds is not always beneficial for genomic evaluations due to the low consistency of gametic phase between individual breeds. The objective of this study was to compare the expected gain in accuracy of single-step genomic breeding values (GEBV) for conformation traits of Canadian Alpine and Saanen goats predicted using single and multiple-breed models. The traits considered were body capacity, dairy character, feet and legs, fore udder, general appearance, rear udder, suspensory ligament, and teats, all recorded by trained classifiers, using a 1 to 9 scale. The full datasets included a total of 7,500 phenotypes for each trait (5,158 Alpine and 2,342 Saanen) and 1,707 50K genotypes (833 Alpine, 874 Saanen). Standard errors of prediction (SEP) were obtained for EBV and GEBV predicted using single-trait animal models on full or validation datasets. Breed difference was accounted for as a fixed effect in the multiple-breed models. Average theoretical accuracies were calculated from the SEP. For Saanen, with fewer records, expected accuracies of EBV and GEBV for the validation animals (selection candidates) were consistently higher for the multiple-breed models. Trait specific gains in theoretical accuracy of GEBV relative to EBV for the selection candidates ranged from 30 to 48% for Alpine and 41 to 61% for Saanen. Averaged across all traits, GEBV predicted from the full dataset were 32 to 38% more accurate than EBV for genotyped animals and the largest gains were found for does without conformation records (49 to 55%) and bucks without daughter records (56 to 82%). Overall, the implementation of genomic selection would substantially increase selection accuracy for young breeding candidates and, consequently, the rate of genetic improvement for conformation traits in Canadian dairy goats.