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ARS Home » Plains Area » Fort Collins, Colorado » Center for Agricultural Resources Research » Agricultural Genetic Resources Preservation Research » Research » Publications at this Location » Publication #368646

Research Project: National Animal Germplasm Program

Location: Agricultural Genetic Resources Preservation Research

Title: Critical factors for non-surgical artificial insemination in sheep

Author
item Purdy, Phil
item Spiller, Scott
item MCGUIRE, EUGENIE - Desert Weyr, Llc
item MCGUIRE, KENYON - Desert Weyr, Llc
item KOEPKE, KALLI - University Of Wyoming
item LAKE, SCOTT - University Of Wyoming
item Blackburn, Harvey

Submitted to: Small Ruminant Research
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/22/2020
Publication Date: 6/25/2020
Citation: Purdy, P.H., Spiller, S.F., McGuire, E., McGuire, K., Koepke, K., Lake, S., Blackburn, H.D. 2020. Critical factors for non-surgical artificial insemination in sheep. Small Ruminant Research. 191:106179. https://doi.org/10.1016/j.smallrumres.2020.106179.
DOI: https://doi.org/10.1016/j.smallrumres.2020.106179

Interpretive Summary: At the USDA National Animal Germplasm Program we are responsible for collecting germplasm from all of the agriculturally-relevant species in the US and developing methods for their efficient and effective storage and utilization. Sheep present a unique opportunity because we are able to successfully cryopreserve ram semen, but the methods for its use with artificial insemination (AI) are not as well developed. Consequently, we performed multiple exploratory fertility trials in order to identify methods that would result in ewe fertility when using cryopreserved ram semen, a synchronized estrous, and timed non-surgical AI. Our experiments demonstrated that 0 to 100% fertility could be achieved when using our techniques but the timing of insemination and the breed of the ewe significantly impacted the percentage of ewes that lambed (fertility). Based on these results, refinement of the methods, by breed, should be performed to optimize these protocols which should result in better utilization of ram semen and thereby increase the effectiveness of repositories, commercial semen freezing entities, and private producers when performing sheep AI.

Technical Abstract: USDA National Animal Germplasm Program is responsible for collecting germplasm from agriculturally relevant species in the US and developing methods for its efficient and effective storage and utilization. Lack of low cost and effective use of assisted reproductive technologies in sheep has been problematic and impacts the effective use of germplasm. While ram semen can be cryopreserved, methods for its use via non-surgical artificial insemination (AI) are not well developed. Consequently, we performed multiple fertility trials to identify methods that result in ewe fertility when using cryopreserved ram semen, synchronized estrous, and timed non-surgical AI. Experiment 1 used Black Welsh Mountain sheep and resulted in 51% of bred ewes lambing. Statistical analysis showed age of the ewe, ram, and interaction of ewe age X time of AI effects were not significant. However, AI time relative to CDIR removal impacted fertility (P < 0.001). In a second experiment using Rambouillet, 11% of artificially inseminated ewes lambed. A statistical model that included the effects of AI time, ewe age, and the AI time X ewe age interaction was not significant (P > 0.05). Experiment 3 utilized both breeds of sheep and resulted in mean fertility of 48 and 13% for Black Welsh Mountain and Rambouillet, respectively. Analysis of the fertility results in experiment 3 included the effects of ewe breed, time of AI, ram, and the 2 and 3-way interaction terms. The three-way interaction of ewe breed X ewe age class X AI time was significant (P < 0.001) as were all two way interactions (P < 0.05). Identification of this 3-way interaction indicates that AI methodology is complicated and requires tailoring to specific breeds, ewe ages classes, and AI timing. These results suggest, at least partially, reasoning for highly inconsistent results reported in previous literature and the difficulty in applying the technology in the field. Potential approaches to address these important interactions in search of a more predictable result are discussed.