Sustainability of livestock production systems (animal welfare, agroecology and biodiversity)

Animal and Food Science


Host Department
Department of Agronomy, Food, Natural Resources, Animals and Environment



Research Topic B

Abstract of the proposed UNIPhD research project


The creation of new phenotypes through infrared technology, together with the use of the “INTAQT” database and the application of machine learning, offer the possibility of providing important knowledge and solutions to the main problems facing the dairy industry, in the short-term and long-term. In addition, within its objectives, not only is it contemplated to include this information in selection programs, but this knowledge can be used as a useful tool for decision-making in a production level.



Short bio

Marco Aurelio Ramírez Mauricio, born in the city of Zacatecas, Zac., Mexico, on January 7, 1995, completed his degree in Veterinary Medicine and Zootechnical Sciences in 2019 from Universidad Autónoma de Aguascalientes (Ags., Mexico). Before continuing his academic training in Spain, he worked in different areas of veterinary medicine in Spain, Mexico and the United States, today he has practically completed his master’s degree in Animal Genetics and Breeding, and Reproductive Biotechnology from Universitat Politècnica de València and Universitat Autónoma de Barcelona. Part of his training as a future researcher began at the Universidad de Zaragoza, where he took up his master’s thesis and participated in the research of genome-wide association in the Pirineic Bovine Race.

Topic assigned to
Marco Aurelio Ramírez Mauricio


Project documents