Is single-step genomic REML with the algorithm for proven and young more computationally efficient when less generations of data are present?
Vinícius Silva Junqueira, Daniela A. L. Lourenco, Yutaka Masuda, F. F. Cardoso, Paulo Sávio Lopes, Fabyano Fonseca e Silva, I. Misztal
This study investigates whether using the APY algorithm with truncated pedigree and phenotypes reduces computational costs in ssGREML for variance component estimation, finding that it slightly decreases ordering and symbolic factorization time without affecting estimates.
Journal of Animal Science · Mar 15, 2022Peer-reviewedGenomics