Open Access334 Investigating core-dependent changes in predictions using the algorithm for proven and young in ssGBLUP
Author(s) -
Daniela Lourenço,
S. Tsuruta,
Ivan Pocrnić,
I. Misztal
Publication year - 2019
Publication title -
journal of animal science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.928
H-Index - 156
eISSN - 1525-3015
pISSN - 0021-8812
DOI - 10.1093/jas/skz258.100
Subject(s) - udder , core (optical fiber) , statistics , best linear unbiased prediction , mathematics , heritability , dairy cattle , algorithm , biology , selection (genetic algorithm) , computer science , zoology , genetics , artificial intelligence , mastitis , telecommunications , microbiology and biotechnology
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom