The future of equine semen analysis
Fernando J. Peña
A * , Francisco Eduardo Martín-Cano A , Laura Becerro-Rey A , Cristina Ortega-Ferrusola A , Gemma Gaitskell-Phillips A , Eva da Silva-Álvarez A and María Cruz Gil A
A
Abstract
We are currently experiencing a period of rapid advancement in various areas of science and technology. The integration of high throughput ‘omics’ techniques with advanced biostatistics, and the help of artificial intelligence, is significantly impacting our understanding of sperm biology. These advances will have an appreciable impact on the practice of reproductive medicine in horses. This article provides a brief overview of recent advances in the field of spermatology and how they are changing assessment of sperm quality. This article is written from the authors’ perspective, using the stallion as a model. We aim to portray a brief overview of the changes occurring in the assessment of sperm motility and kinematics, advances in flow cytometry, implementation of ‘omics’ technologies, and the use of artificial intelligence/self-learning in data analysis. We also briefly discuss how some of the advances can be readily available to the practitioner, through the implementation of ‘on-farm’ devices and telemedicine.
Keywords: artificial intelligence, CASA, computer-assisted sperm analysis, flow cytometry, metabolomics, proteomics, self-learning, spermatozoa, stallion.
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