EVALUATION AND PERFORMANCE TESTED BEEF BULLS BY BLUP [PDF]
Henningsson T, Wilton JW, Eriksson JA
openaire +4 more sources
Integration of proxy intermediate omics traits into a nonlinear two-step model for accurate phenotypic prediction. [PDF]
Yoshioka H +23 more
europepmc +1 more source
Blup... Blup... Blup... : Archéologie des lacs et des rivières
openaire +2 more sources
BLUP: Neither Best nor Unbiased
BLUP is algebraically analyzed in the case of IID errors and orthogonal data. BLUP is biased for any finite N and does not consistently score lower MSE than OLS. BLUP also underestimates the variance of the parameter vector for any finite N. Arguments are verified with simulation.
openaire +1 more source
Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology. [PDF]
Jiang JC +9 more
europepmc +1 more source
Genetic identification and characterization of putatively novel, stable, and validated loci for plant height in wheat (Triticum aestivum L.). [PDF]
Yao Q +11 more
europepmc +1 more source
Expected increases in genetic merit from using optimized contributions in two livestock populations of beef cattle and sheep [PDF]
Avendano, S. +2 more
core +1 more source
Multi-trait stability selection drives genetic gains in cowpea [Vigna unguiculata (L.) Walp.] under high-temperature stress. [PDF]
Ps B +12 more
europepmc +1 more source
Comparative analysis of genomic prediction approaches for multiple time-resolved traits in maize. [PDF]
Hobby D +4 more
europepmc +1 more source

