
Agriculture
Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices
M. Lopez-cruz, Y. Beyene, et al.
Discover how innovative genomic prediction models can enhance crop improvement strategies! This research, led by Marco Lopez-Cruz, Yoseph Beyene, Manje Gowda, Jose Crossa, Paulino Pérez-Rodríguez, and Gustavo de los Campos, reveals that combining sparse selection indices with kernel methods significantly boosts prediction accuracy in maize data.
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