• Didier Boichard, French National Institute for Agricultural Research
  • Jack Dekkers, Iowa State University
  • Helene Hayes, French National Institute for Agricultural Research
  • Julius van der Werf, University of New England

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Genetics Selection Evolution is owned and supported by INRA, France.


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Aims & scope

Genetics Selection Evolution is an open access, peer-reviewed, online journal dedicated to original research on all aspects of genetics and selection in domestic animal species and other species providing results of immediate interest for farm animals' genetics.

With the vast, recent increase in the amount and spectrum of available genetic and genomic data, and the development of next-generation sequencing-based approaches, there is an ever-increasing requirement for the collaboration and successful integration of varied results, techniques, and methods in furthering the advancement of the future of animal genetics.

Genetics Selection Evolution focuses on contributing to these developments by providing a high-visibility forum for the dissemination of relevant research and reviews that will prompt new insights and discussions as well as stimulate new research in the field.

GSE is delighted to welcome Prof Julius van der Werf as co-Editor-in-Chief!

Julius van der Werf
We are pleased to announce the appointment of Julius van der Werf (formerly an Associate Editor of GSE) as co-Editor-in-Chief. He joins Didier Boichard, Jack Dekkers, and Helene Hayes, with joint responsibility for maintaining the journal’s high editorial standards.

Professor Julius van der Werf holds a PhD (1990) in Animal Breeding from Wageningen University in the Netherlands. He moved to the University of New England (Armidale, Australia) in 1997, where he is now Professor in Animal Breeding and Genetics and Program Leader of Genetics in the Cooperative Research Center for Sheep Industry Innovation. His research interests range from methodological issues on the estimation of genetic parameters (design and data structure, mixed models analysis, genetic evaluation models, random regression models) and genomic analysis (genomic prediction, genome wide association studies, design of experiments, models for genomic prediction, phasing and imputation) to applications for the optimization of animal breeding programs (breeding objectives, optimizing selection, optimizing, measurement, long and short term gains, genetic gain and genetic diversity, total genetic resource management).
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ISSN: 1297-9686