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03.02.2023 Source: AWEX
AWEX EMI 1358 +20
Micron 17 2357 +32
Micron 18 2022 +12
Micron 19 1699 +7
Micron 20 1562 +31
Micron 21 1472n +28
Micron 25 788n +4
Micron 26 596n -2
Micron 28 345 +3
Micron 30 298 +3
Micron 32 240n +2
MCar 888 +16
The University of Sydney, supported by AWI and the NSW Stud Merino Breeders’ Association Trust, is conducting research to determine the factors that influence the success of laparoscopic artificial insemination (AI) of sheep.

AI is a vital reproductive technology that underpins rates of genetic gain for seedstock producers and by extension the broader industry. This research will address the anecdotal reports of variable fertility following AI as well as possible waning adoption rates in some parts of the country. To investigate this issue, the University of Sydney team, led by Dr Jess Rickard, is collecting data on male and female factors, at many sites across Australia, over several years and multiple AI programs.

To date, the project has been working closely with programs run by the Australian Merino Sire Evaluation Association (AMSEA) and six ram breeders across most states and ewe types, collecting data on female factors at the time of AI, including age, semen used, time of AI in relation to CIDR pull, uterine tone and intra-abdominal fat score. A subset of the actual semen used for AI in these programs is then sent to the lab for advanced semen diagnostics, including motility, morphology, concentration, DNA integrity, viability as well as membrane fluidity and acrosome integrity. These factors will then be built into a model to explain the pregnancy results obtained.

btb-ai-success-jess-rickard.jpg
Dr Jess Rickard from the University of Sydney.

In the first two years, the project has collected semen from more than 300 sires and data on more than 25,000 ewes, forming the largest collection of sheep AI data in Australia. Another year’s data is being collected during the 2022/23 joining season.

A study of this type has never been undertaken in sheep and will establish a capability to predict the success of AI programs as well as recommend new semen standards for the artificial breeding industry. This could reduce some of the risks associated with laparoscopic AI programs, increasing success rates and hopefully the adoption rate for woolgrowers. Ultimately this would ensure that woolgrowers can maximise the genetic benefits associated with using frozen-thawed semen from elite sires.

If you are running an AI program this year with more than 500 ewes and two sires and you are interested in knowing more about the project or being involved, please get in contact with Dr Jessica Rickard.

More information: Dr Jess Rickard, University of Sydney, 0421 633 775, jessica.rickard@sydney.edu.au

 

This article appeared in the December 2022 edition of AWI’s Beyond the Bale magazine. Reproduction of the article is encouraged.

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