PSX-B-21 Equine Embryo Viability Based on Morphokinetics

Abstract

Abstract The objective of this study was to analyze equine embryo morphokinetics and whether or not they were indicative of survivability upon successful implantation into the uterus of a recipient female. In equine reproduction, fertility is a lowly heritable trait that has an exceedingly large financial impact on the ability to grow genetic lines. In order to increase pregnancy rates, producers must have access to accurate decision-making tools. Ten (n = 10) fertilized equine embryos collected via flushing by licensed veterinarian, Dr. Gregg Veneklasen, DVM in Canyon, TX. Flushed embryos were filmed for a thirty-five (35) second observation period with an Iolight Microscope and then processed through video motion magnification (VMM) software Lambda Vue, that amplified embryo activity 300x their normal movement. These VMM embryos were then assessed for time specific morphological changes using Image J software. Embryo morphological dimension shifts previously unseen under a simple microscope became humanly perceptible and measurable. For morula stage embryos, measurements of significance were taken on the inner cell mass (ICM), total embryo area, trophoblast to ICM distance, and finally the vertical, diagonal, and horizontal axis of the sub-zonal distance. Protocols were developed for embryos in the blastocyst stages, where measurements were taken on the vertical, diagonal, and horizontal axis of the total embryo, area of the embryo, notation of general ICM location, and trophoblast thickness around the embryo face. All measurements were taken in microns every five seconds for the thirty-five second recording period. Findings presented that embryos with a greater ICM, total embryo area, and sub-zonal vertical, diagonal, and horizontal distance established pregnancies as frequently as embryos with less momentous differences in distance (P < 0.1). This research has shown the relationship between morphokinetics and pregnancy had no significance of determining pregnancy viability. This resulted in enhanced prediction of embryo transfer techniques based on traditional grading, making pregnancy rates more predictable and consistent.