Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments
Type:
Title:
Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments
Creator:
Vojgani, E.;
Pook, T.;
Martini, J.W.R.;
Hölker, A.C.;
Mayer, M.;
Schön, C.C.;
Simianer, H.
Pook, T.;
Martini, J.W.R.;
Hölker, A.C.;
Mayer, M.;
Schön, C.C.;
Simianer, H.
Year:
2021
Copyright:
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Journal:
Theoretical and Applied Genetics
Journal volume:
134
Pages:
2913–2930
Place of Publication:
Berlin (Germany)
Publisher:
Springer
Citation:
Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments. 2021. 134 DOI: 10.1007/s00122-021-03868-1 Springer.