Genetic and genomic analyses of embryo production in dairy cattle.

Jaton, C.; Schenkel, F. S.; Chud, T. C. S.; Malchiodi, F.; Sargolzaei, M.; Price, C. A.; Canovàs, A.; Baes, C.; Miglior, F. (2019). Genetic and genomic analyses of embryo production in dairy cattle. Reproduction, fertility, and development, 32(2), pp. 50-55. CSIRO Publishing 10.1071/RD19275

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The Canadian dairy industry has been using invivo and invitro assisted reproductive technologies to produce embryos. Technological improvements have helped increase the number and quality of embryos produced, but genetic and genomic tools for improving these traits have yet to be assessed for the Canadian Holstein population. Genetic parameters and a genome-wide association study were performed in Canadian Holstein for the total number of embryos (NE) and the number of viable embryos (VE). Results showed potential for genetic selection for both NE and VE, with heritability estimates (± s.e.) of approximately 0.15±0.01. Genetic correlations between the number of embryos produced using different procedures (invivo and invitro) suggested that a similar number of embryos should be expected from a donor regardless of the procedure used. A region on chromosome 11 of the bovine genome was found to be significantly associated with the number of embryos, indicating a potential regulatory role of this region on embryo production. Overall, these findings are of interest for the Canadian dairy industry because they provide useful information for breeders that are interested in producing embryos from the elite donors in their herds or in the population using assisted reproductive technologies.

Item Type:

Journal Article (Original Article)

Division/Institute:

05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH) > Institute of Genetics
05 Veterinary Medicine > Department of Clinical Research and Veterinary Public Health (DCR-VPH)

UniBE Contributor:

Baes, Christine Francoise

Subjects:

500 Science > 590 Animals (Zoology)
600 Technology > 630 Agriculture

ISSN:

1031-3613

Publisher:

CSIRO Publishing

Language:

English

Submitter:

Christine Francoise Baes

Date Deposited:

05 Aug 2020 08:50

Last Modified:

05 Aug 2020 08:50

Publisher DOI:

10.1071/RD19275

PubMed ID:

32188557

URI:

https://boris.unibe.ch/id/eprint/145578

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