Recently a new CASA article about ‘Machine learning to further improve the decision which boar ejaculates to process into artificial insemination doses’ has been accepted and published. Highlights are: • CASA is a valuable tool for AI laboratories to decide which boar ejaculate to process into AI doses. • This decision could not be improved by a data-driven…
The activity level of group-housed broilers decreases as birds grow older. That is one of the conclusions of a study where an ultra-wideband tracking system (UWB) was implemented and validated by Wageningen University & Research (WUR). This was a joint WUR and Utrecht University (UU) study, in collaboration with Cobb Europe and Breed4Food, and was…
With pleasure we invite you for the seminars on October 17th. In this attachment you will find the program. The morning session is an update on the latest developments from a broiler breeding program and the afternoon provides views of Ben Hayes, Michel Georges and Peter Visscher and the running Breed4Food projects on how animal breeders…
On the 5th of February 2019, the B4F Big Data team organised a training workshop on the implementation of a data lake stack within the domain of animal breeding. The workshop was held at Zodiac, Wageningen, and attracted 20 participants from the industry and WUR. Since the start of B4F Precision Phenotyping in 2017, the…
In collaboration with the Technical University of Delft, researchers at Wageningen University & Research, Animal Breeding and Genomics (WUR-ABG), have recently implemented an efficient algorithm, called the deflated preconditioned conjugate gradient method. This algorithm, new in animal breeding, aims to allow large routine single-step genomic evaluations to predict genomic breeding values more accurately. First tests…
