Abstract #274

# 274
The choice and collection of new relevant phenotypes for fertility selection.
Allison Fleming1, Christine F. Baes1, Francesca Malchiodi1, Luiz F. Brito1, Filippo Miglior*1,2, 1CGIL - University of Guelph, Guelph, ON, Canada, 2Canadian Dairy Network, Guelph, ON, Canada.

The fundamental aspect of dairying is successful reproduction. Impaired fertility represents a major financial loss for the dairy producer and is a prominent reason for involuntary culling. As selection for increased production was realized, deterioration in female fertility was witnessed, and, appropriately, selection indices expanded to include fertility traits, like calving interval, days open, calving to first service, first service to conception and 56d non return rate. The inclusion of fertility traits worldwide has had an impact in reversing the negative trend with regards to calving interval, days open and calving to first service, but little or no gain has been achieved for traits related to conception, such as first service to conception and 56d non-return rate. Fertility traits typically have low heritabilities, and relevant traits closer to the true reproductive biology are difficult to measure, making progress in female fertility challenging and the search for novel phenotypes appealing. Many alternative fertility indicator traits have emerged with the evolution of on- and off-farm technologies, such as milk progesterone and fatty acid profile, energy balance, and body weight and condition. The rise of genomic selection and genotyping breeding candidates becoming more commonplace may be particularly valuable for the improvement of fertility. The identification of novel lethal recessive genes affecting the viability of the pregnancy could aid in future matings. Haplotypes affecting fertility, including AH1 in Ayrshires, have already been described, and genomics may further uncover underlying genetic components influencing fertility for more effective selection. Reproductive technologies have alleviated some problems but perhaps only temporarily concealed the issue at hand. Genetic improvement of fertility of dairy cattle in the future will require more relevant phenotypes to be evaluated that more closely describe fertility, and those, which promote the improvement of fertility without intensive intervention from the producer.

Key Words: fertility, novel phenotype, trait identification

Speaker Bio
Filippo Miglior, originally from Milan, Italy, moved to Guelph in 1989, and obtained his PhD in animal breeding in 1994. He moved back to Italy, where he held the positions of R&D manager at Italian Holstein Association, and at Livestock Farmers Association in Rome. In 2000, Filippo returned to Canada as research scientist with AAFC, co-located at Canadian Dairy network as R&D coordinator. In 2013, Filippo accepted the position at CDN as chief, research and strategic development. Filippo is also adjunct professor, associated faculty at University of Guelph since 2004, senior editor for Journal of Dairy Science since 2005, associate editor of Canadian Journal of Animal Science since 2012, member of several industry boards, past-president of Canadian Society of Animal Science and secretary of WCGALP Permanent International Committee. His responsibilities include management of all industry priority research projects supported by DairyGen Council of CDN; leadership in planning, preparation, and execution of major industry initiatives; and supervision of graduate students and post-docs at the University of Guelph conducting research projects supported by the industry. Filippo is the recipient of several prestigious awards (2013 ADSA J. L. Lush award in Animal Breeding; 2016 CSAS Technical Innovation in Enhancing Production of Safe Affordable Food; 2011 ICAR Distinguished Award). He is author of 2 book chapters, 101 scientific journal articles, and over 500 articles/conference proceedings. Miglior leads several research projects with budgets exceeding $12.6 million, advising a team of over 20 graduate students and researchers