Categorization of birth weight phenotypes for inclusion in genetic evaluations using a deep neural network.

Abstract excerpt

Birth weight (BW) serves as a valuable indicator of the economically relevant trait of calving ease (CE), and erroneous data collection for BW could impact genetic evaluations for CE. The objective of the current study was to evaluate the use of deep neural networks (DNNs) for classifying contemporary groups (CGs) based on the method used to generate BW phenotypes. CGs (n = 120,000,000) ranging between 10 and 250...

Topics

• Animals
• Birth Weight
• Data Collection
• Goals
• Models, Genetic
• Neural Networks, Computer
• Phenotype