Background: Genomic selection (GS) promises to accelerate genetic gain in plant breeding programs especially for crop species such as cassava that have long breeding cycles. Practically, to implement GS in cassava breeding, it is necessary to evaluate different GS models and to develop suitable m...
Enlace original:
https://cgspace.cgiar.org/handle/10568/89941
Okeke, U.G.
,
Akdemir, D.
,
Rabbi, Ismail Y.
,
Kulakow, P.A.
,
Jannink, Jean-Luc
,
[Accuracies of univariate and multivariate genomic prediction models in African cassava]
,
Accuracies of univariate and multivariate genomic prediction models in African cassava
