A dimensionality-reduction genomic prediction method without direct inverse of the genomic relationship matrix for large genomic data

Key message A new genomic prediction method (RHPP) was developed via combining randomized Haseman–Elston regression (RHE-reg), PCR based on genomic information of core population, and preconditioned conjugate gradient (PCG) algorithm. Computational efficiency is becoming a hot issue in the practical...

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Bibliographic Details
Published in:	Plant cell reports Vol. 42; no. 11; pp. 1825 - 1832
Main Authors:	Liu, Hailan, Yu, Shizhou
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2023 Springer Nature B.V
Subjects:	Accuracy Algorithms Biomedical and Life Sciences Biotechnology Cell Biology Computational efficiency Computer applications Computing time Conjugate gradient method data collection Efficiency Genomics Genotyping Life Sciences Machine learning Methods Original Article Pine trees Pinus taeda Plant Biochemistry Plant Sciences prediction Predictions wheat Genomic prediction Principal component regression GBLUP Preconditioned conjugate gradient algorithm Randomized Haseman–Elston regression
ISSN:	0721-7714, 1432-203X, 1432-203X
Online Access:	Get full text
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