01318naa a2200205 a 450000100080000000500110000800800410001902200140006002400310007410000160010524501500012126000090027150002950028052003640057565300220093965300130096170000160097470000170099077301050100710643852023-12-05       2023    bl uuuu     u00u1 u    #d  a2730-50667 a10.31285/AGRO.27.13042DOI1 aQUEZADA, M.  aWeighted genomic prediction for growth and disease resistant traits in a Eucalyptus globulus breeding population. [Poster]h[electronic resource]  c2023  aArticle history: Received 05 Sep 2023; Accepted 10 Oct 2023; Published 20 Nov 2023. -- Correspondence: Marianella Quezada, mquezada@fagro.edu.uy -- License: This work is licensed under a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/ )  aGenomic selection is becoming an efficient and effective tool to increase genetic gain per unit time in forest tree breeding. The single-step genomic best linear unbiased prediction (ssGBLUP) method has been widely used in forest trees because it can use the complete phenotypic and pedigree data, with the genotypic information of a subset of the population.  aGenomic selection  aWssGBLUP1 aAGUILAR, I.1 aBALMELLI, G.  tAgrociencia Uruguay, 2023, Vol.27(NE2), e1304. https://doi.org/10.31285/AGRO.27.1304 -- OPEN ACCESS.