Provided is use of PGAM2 in the breeding of Blcattle black cattle, which belongs to the technical field of molecular biological breeding, in which individuals having a high PGAM2 content are screened as high-quality breeding bulls. In the present disclosure, it is proved by means of experiments that PGAM2 may promote the proliferation and glycolytic metabolism of Sertoli cells to produce lactic acid, an energy substrate required for spermatogenic cell development. It regulates the formation of blood-testis barrier and facilitates the communication between Sertoli cells and germ cells, thereby promoting spermatogenesis. The present disclosure provides a new direction for the breeding of Blcattle black cattle for high quality beef production.

Provided is use of PGAM2 in the breeding of Blcattle black cattle, which belongs to the technical field of molecular biological breeding, in which individuals having a high PGAM2 content are screened as high-quality breeding bulls. In the present disclosure, it is proved by means of experiments that PGAM2 may promote the proliferation and glycolytic metabolism of Sertoli cells to produce lactic acid, an energy substrate required for spermatogenic cell development. It regulates the formation of blood-testis barrier and facilitates the communication between Sertoli cells and germ cells, thereby promoting spermatogenesis. The present disclosure provides a new direction for the breeding of Blcattle black cattle for high quality beef production.

Methods and systems are described for improvements in embryo selection. These improvements are achieved by analyzing a series of images of a developing embryo (e.g., time-lapse images) as opposed to a single static image. For example, due to the difficulty in identifying clear distinctions between morphological states based on static images as well as the unpredictability of morpho-kinetic development of an embryo, the system analyzes the development of an embryo as a whole over a given time frame (e.g., fertilization to blastulation), which provides a better prediction of the viability of a given embryo. The analysis may take the form of a morpho-kinetic signature, which itself may be used to classifying embryos.

Methods and systems are for improvements to in-vitro fertilization using morpho-kinetic signatures. These improvements are achieved by analyzing a series of images of a developing embryo (e.g., time-lapse images) as opposed to a single static image. For example, due to the difficulty in identifying clear distinctions between morphological states based on static images, as well as the unpredictability of morpho-kinetic development of an embryo, the system analyzes the development of an embryo as a whole over a given time frame (e.g., fertilization to blastulation), which provides a better prediction of the viability of a given embryo. The analysis may take the form of a morpho-kinetic signature, which itself may be used to determine an optimal time to transfer and/or implant an embryo into a patient.

Methods and systems are for improvements to in-vitro fertilization using morpho-kinetic signatures. These improvements are achieved by analyzing a series of images of a developing embryo (e.g., time-lapse images) as opposed to a single static image. For example, due to the difficulty in identifying clear distinctions between morphological states based on static images, as well as the unpredictability of morpho-kinetic development of an embryo, the system analyzes the development of an embryo as a whole over a given time frame (e.g., fertilization to blastulation), which provides a better prediction of the viability of a given embryo. The analysis may take the form of a morpho-kinetic signature, which itself may be used to determine an optimal time to transfer and/or implant an embryo into a patient.