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ARS Home » Southeast Area » Stoneville, Mississippi » Warmwater Aquaculture Research Unit » Research » Publications at this Location » Publication #427532
Research Project: Biophotonics - Emerging Imaging Technologies for Food Animal Research

Location: Warmwater Aquaculture Research Unit

Title: Predicting Boar Sperm Survival during Liquid Storage Using Vibrational Spectroscopic Techniques

Author
item KAMENI, SERGE - Mississippi State University
item SEMON, BRYAN - Mississippi State University
item CHEN, LI-DUNN - Mississippi State University
item DLAMINI, NOTSILE - Mississippi State University
item ARIUNBOLD, GOMBOJAV - Mississippi State University
item VANCE-KOUBA, CARRIE - Mississippi State University
item FEUGANG, JEAN - Mississippi State University

Submitted to: Biology
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 9/20/2024
Publication Date: 9/26/2024
Citation: Kameni, S.L., Semon, B., Chen, L., Dlamini, N.H., Ariunbold, G.O., Vance-Kouba, C.K., Feugang, J.M. 2024. Predicting Boar Sperm Survival during Liquid Storage Using Vibrational Spectroscopic Techniques. Biology. 13(10)763. https://doi.org/10.3390/biology13100763.
DOI: https://doi.org/10.3390/biology13100763

Interpretive Summary: Artificial insemination (AI) is a reproductive technique routinely used in livestock to deliver sperm directly to the cervix or uterus to achieve pregnancy. In swine, AI is performed with chill-stored sperm displaying minimum criteria evaluated using traditional procedures; however, variegated fertility appeals for additional tools for sperm evaluation. To enhance sperm evaluation, we assess the potential of near-infrared (NIR) and Raman spectroscopy in addition to traditional techniques to monitor boar sperm quality during 10-day chill-storage. Sperm samples showed differential responses to storage, with sperm quality nearly maintained in some samples, whereas it sharply deteriorated in others. Better than NIR, Raman spectral profiles obtained from freshly extended samples efficiently predict sperm survival to storage, making the technique a promising tool for in-depth assessment of sperm samples.

Technical Abstract: Artificial insemination (AI) is a reproductive technique routinely used in livestock to deliver sperm directly to the cervix or uterus to achieve pregnancy. In swine, AI is performed with chill-stored sperm displaying minimum criteria evaluated using traditional procedures; however, variegated fertility appeals for additional tools for sperm evaluation. To enhance sperm evaluation, we assess the potential of near-infrared (NIR) and Raman spectroscopy in addition to traditional techniques to monitor boar sperm quality during 10-day chill-storage. Sperm samples showed differential responses to storage, with sperm quality nearly maintained in some samples, whereas it sharply deteriorated in others. Better than NIR, Raman spectral profiles obtained from freshly extended samples efficiently predict sperm survival to storage, making the technique a promising tool for in-depth assessment of sperm samples.