02138naa a2200301 a 450000100080000000500110000800800410001902200140006002400360007410000160011024500990012626000090022550010210023452002030125565300440145865300210150265300130152365300160153665300110155265300200156365300100158365300380159370000160163170000180164770000160166570000160168177301390169710639562023-02-08       2023    bl uuuu     u00u1 u    #d  a1297-96867 a10.1186/s12711-023-00778-22DOI1 aBERMANN, M.  aReliabilities of estimated breeding values in models with metafounders.h[electronic resource]  c2023  aArticle history: Received 29 June 2022; Accepted 04 January 2023; Published 23 January 2023. -- Corresponding author: Matias Bermann, Department of Animal and Dairy Science, University of Georgia, Athens, GA, USA, email: mbermann@uga.edu -- FUNDING: This study was partially funded by Agriculture and Food Research Initiative Competitive Grant No. 2020-67015-31030 from the US Department of Agriculture?s National Institute of Food and Agriculture. This project has received funding from the European Unions' Horizon 2020 Research & Innovation program under Grant Agreement No. 772787-SMARTER. -- Document type: Article Gold Open Access, Green Open Access. -- LICENSE: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.  aABSTRACT.- Conclusions: This work provides a general method to obtain reliabilities for both BLUP and ssGBLUP when several base populations are included through metafounders. © 2023, The Author(s).  aBest linear unbiased predictions (BLUP)  aBiological model  aBreeding  aCorrelation  aGENOME  aNumerical model  aSheep  aSISTEMA GANADERO EXTENSIVO - INIA1 aAGUILAR, I.1 aLOURENCO , D.1 aMISZTAL, I.1 aLEGARRA, A.  tGenetics, Selection, Evolution : GSE, 2023, volume55, issue 1, article 6. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-023-00778-2