Open AccessComparison of BLUP and Bayesian methods for different sizes of training population in genomic selection
Author(s) -
Samet Hasan Abacı,
Hasan Önder
Publication year - 2020
Publication title -
turkish journal of veterinary and animal sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.233
H-Index - 35
eISSN - 1303-6181
pISSN - 1300-0128
DOI - 10.3906/vet-2001-52
Subject(s) - best linear unbiased prediction , restricted maximum likelihood , genomic selection , selection (genetic algorithm) , bayes' theorem , statistics , biology , population , bayesian probability , mixed model , genetic gain , mathematics , genotype , maximum likelihood , genetics , genetic variation , computer science , medicine , single nucleotide polymorphism , machine learning , gene , environmental health
* Correspondence: samet.abaci@omu.edu.tr
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