01308nam a2200241 a 450000100080000000500110000800800410001902200140006002400330007410000160010724501700012326001300029350000750042352004360049865300240093465300120095870000160097070000160098670000150100270000160101770000160103370000170104910632922022-06-14       2020    bl uuuu     u01u1 u    #d  a1525-31637 a10.1093/jas/skaa278.0122DOI1 aGARCÍA, A.  aAccuracy of indirect predictions for large datasets based on prediction error covariance of SNP effects from single-step GBLUP. [abstract 22].h[electronic resource]  aJournal of Animal Science, 2020, Volume 98, Issue Supplement 4, Pages 6-7. doi: https://doi.org/10.1093/jas/skaa278.012c1093  aArticle history: 30 November 2020. ASAS Annual 2020 Meeting Abstracts.  aABSTRACT - With an ever-increasing number of genotyped animals, there is a question of whether to include all genotypes into single-step GBLUP (ssGBLUP) evaluations or to include only genotyped animals with phenotypes and use indirect predictions (IP) for the remaining young genotyped animals. Under ssGBLUP, SNP effects can be backsolved from GEBV, and IP can be calculated as the sum of SNP effects weighted by the gene content.  aInterim evaluations  aSNP PEC1 aAGUILAR, I.1 aLEGARRA, A.1 aMILLER, S.1 aTSURUTA, S.1 aMISZTAL, I.1 aLOURENCO, D.