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Grant: Alliance Grants

University of Saskatchewan

$70,285.00

Optimization of media design and pre-freeze metrics for conventional, sexed beef, and sexed dairy semen cryopreservation

EF 2024-25

Résumé
To allow breeding strategies that improve cattle genetic management, a billion-dollar industry exists to collect genetically optimal semen, freeze (cryopreserve) the sample, and ship the samples to farms around the world. Post-cryopreservation fertility recovery remains suboptimal and every percent of increased post-thaw fertility corresponds to millions of dollars in revenue, as samples from genetically valuable bulls can be divided into more portions. In the last decade, the use of (sexed) semen that has been processed to preferentially produce male or female offspring has grown dramatically. The loss in post-thaw fertility is especially felt in sexed semen, where post-thaw recovery is reduced by a third over conventional semen. In fact, because the semen sexing process is expensive and time consuming, it would be valuable to industry to have a pre-freeze test that allows for the prediction of potential post-thaw fertility. Semen are cryopreserved in a media that contains chemical additives to protect from a range of possible damages that occur during cryopreservation. Most studies aiming to improve semen cryopreservation adjust the concentrations of media components one or two at a time, but considerable interaction among media components, semen quality, and post-thaw recovery reduces the power to identify a standard recipe for large scale industrial processes. We recently used a novel large-scale machine learning informed experimental design to optimize an 11 component media recipe for cryopreservation of conventional (non-sexed) semen, resulting in a recipe exceeding industry standard post-thaw motility. Based on this success, we propose to apply what we have learned from our conventional semen experimental design to continue to improve the post-thaw fertility in non-sexed semen, and to improve the post-thaw fertility in sexed dairy and beef semen. Second, based on our preliminary data, we propose three novel tests of semen quality that we believe will provide predictions of post-thaw fertility. This research will improve comparative cryopreservation of sexed and nonsexed semen, improved post-thaw fertility for all semen, and predictive tests of the post-thaw fertility.
Programme
Alliance Grants
Emplacement
Saskatchewan, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
585227-2023
Name nom
Benson, James JD
Department département
Biology
Organization id
16
Institution établissement
University of Saskatchewan
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
70285
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
101
Area of application group en
Agriculture and primary food production
Area of application group fr
Agriculture et produits alimentaires primaires
Area of application en
Animal production and animal primary products
Area of application fr
Production animale et produits animaux primaires
Research subject code
5505
Research subject group en
Animal biology
Research subject group fr
Biologie animale
Research subject en
Animal reproduction
Research subject fr
Reproduction animale
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Optimization of media design and pre-freeze metrics for conventional, sexed beef, and sexed dairy semen cryopreservation
Keywords
aquaporin; cryobiology; cryoprotectant media; hypoosmotic swelling test; membrane physiology; membrane stabilizer; model guided experimental design; semen; supervised machine learning; theriogenology
Application summary
To allow breeding strategies that improve cattle genetic management, a billion-dollar industry exists to collect genetically optimal semen, freeze (cryopreserve) the sample, and ship the samples to farms around the world. Post-cryopreservation fertility recovery remains suboptimal and every percent of increased post-thaw fertility corresponds to millions of dollars in revenue, as samples from genetically valuable bulls can be divided into more portions. In the last decade, the use of (sexed) semen that has been processed to preferentially produce male or female offspring has grown dramatically. The loss in post-thaw fertility is especially felt in sexed semen, where post-thaw recovery is reduced by a third over conventional semen. In fact, because the semen sexing process is expensive and time consuming, it would be valuable to industry to have a pre-freeze test that allows for the prediction of potential post-thaw fertility. Semen are cryopreserved in a media that contains chemical additives to protect from a range of possible damages that occur during cryopreservation. Most studies aiming to improve semen cryopreservation adjust the concentrations of media components one or two at a time, but considerable interaction among media components, semen quality, and post-thaw recovery reduces the power to identify a standard recipe for large scale industrial processes. We recently used a novel large-scale machine learning informed experimental design to optimize an 11 component media recipe for cryopreservation of conventional (non-sexed) semen, resulting in a recipe exceeding industry standard post-thaw motility. Based on this success, we propose to apply what we have learned from our conventional semen experimental design to continue to improve the post-thaw fertility in non-sexed semen, and to improve the post-thaw fertility in sexed dairy and beef semen. Second, based on our preliminary data, we propose three novel tests of semen quality that we believe will provide predictions of post-thaw fertility. This research will improve comparative cryopreservation of sexed and nonsexed semen, improved post-thaw fertility for all semen, and predictive tests of the post-thaw fertility.