Machine learning to further improve the decision which boar ejaculates to process into artificial insemination doses

• Published in: Theriogenology Vol. 144; pp. 112 - 121
• Main Authors: Kamphuis, Claudia, Duenk, Pascal, Veerkamp, Roel Franciscus, Visser, Bram, Singh, Gurnoor, Nigsch, Annette, De Mol, Rudi Maria, Broekhuijse, Marleen Leonarda Wilhelmina Johanna
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.03.2020
• Subjects: Boar semen; Fertility phenotypes; Machine learning; Prediction model; Boar semen; Fertility phenotypes; Machine learning; Prediction model

Current artificial insemination (AI) laboratory practices assess semen quality of each boar ejaculate to decide which ones to process into AI doses. This decision is aided with two, world-wide used, motility parameters that come available through computer assisted semen analysis (CASA). This decisio...