Genomic Selection in Dairy Cows Creates Opportunities not Possible with Traditional Selection

May 19, 2020

Genomic selection has become a critical tool for the dairy industry around the world since genomic evaluations were first implemented in the United States and Canada in 2009. The 2019 ADSA Annual Meeting featured the Joint ADSA/Interbull Breeding and Genetics Symposia titled "Ten Years of Genomic Selection" and "Data Pipelines for Implementation of Genomic Evaluation of Novel Traits." Because of genomic selection's importance to dairy science, the Journal of Dairy Science invited the speakers to submit articles and share information from these symposia with a wider audience.

"The rapid uptake of genomic selection has had a dramatic effect on the dairy industry," guest editor Filippo Miglior, PhD, of the Centre for Genetic Improvement of Livestock at the University of Guelph, said. "These two symposia were developed to provide a comprehensive overview of the last 10 years of genomic selection and how genomics has provided the opportunity to develop new data pipelines for novel traits now under selection worldwide."

The symposium "Ten Years of Genomic Selection" started by reviewing progress from the development of the cattle reference genome to modern 50k SNP chips for implementation of genomic evaluation and selection. Once applied only to males for prediction of progeny performance, genomic selection is now widely used to predict future performance of cows and embryos.

Although genomic selection has allowed for rapid acceleration of genetic progress, it has also resulted in a rapid accumulation of homozygosity in the dairy cattle population. Better understanding is needed to ensure that genetic progress is achieved while maintaining genetic variance. The final presenter discussed the development of single-step genomic evaluations and possible reasons for biases in single-step evaluations.

The symposium "Data Pipelines for Implementation of Genomic Evaluation of Novel Traits" highlighted initiatives to pool data across countries or organizations to exploit the potential of accurate genomic evaluation for novel and expensive traits. It started by examining relationships between feed efficiency traits and how those traits should be incorporated into selection indices, followed by discussion of genomic selection in three countries.

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