New Results
Bivariate genomic prediction of phenotypes by selecting epistatic interactions across years
View ORCID ProfileElaheh Vojgani, View ORCID ProfileTorsten Pook, View ORCID ProfileArmin C. Hölker, Manfred Mayer, View ORCID ProfileChris-Carolin Schön, View ORCID ProfileHenner Simianer
doi: https://doi.org/10.1101/2020.11.18.388330
Elaheh Vojgani
1University of Goettingen, Center for Integrated Breeding Research, Animal Breeding and Genetics Group, Goettingen, Germany
Torsten Pook
1University of Goettingen, Center for Integrated Breeding Research, Animal Breeding and Genetics Group, Goettingen, Germany
Armin C. Hölker
2Plant Breeding, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
Manfred Mayer
2Plant Breeding, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
Chris-Carolin Schön
2Plant Breeding, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany
Henner Simianer
1University of Goettingen, Center for Integrated Breeding Research, Animal Breeding and Genetics Group, Goettingen, Germany

- Supplementary Material[supplements/388330_file02.pdf]
Posted November 20, 2020.
Bivariate genomic prediction of phenotypes by selecting epistatic interactions across years
Elaheh Vojgani, Torsten Pook, Armin C. Hölker, Manfred Mayer, Chris-Carolin Schön, Henner Simianer
bioRxiv 2020.11.18.388330; doi: https://doi.org/10.1101/2020.11.18.388330
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