A novel genomic prediction method combining randomized Haseman-Elston regression with a modified algorithm for Proven and Young for large genomic data

Computational efficiency has become a key issue in genomic prediction (GP) owing to the massive historical datasets accumulated. We developed hereby a new super-fast GP approach (SHEAPY) combining randomized Haseman-Elston regression (RHE-reg) with a modified Algorithm for Proven and Young (APY) in...

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Bibliographic Details
Published in:	The Crop journal Vol. 10; no. 2; pp. 550 - 554
Main Authors:	Liu, Hailan, Chen, Guo-Bo
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2022 KeAi Communications Co., Ltd
Subjects:	additive effect algorithms Arabidopsis thaliana data collection GBLUP Genomic prediction genomics heritability Modified algorithm for Proven and Young population size prediction Randomized HE-regression Genomic prediction Modified algorithm for Proven and Young GBLUP Randomized HE-regression
ISSN:	2214-5141, 2214-5141
Online Access:	Get full text
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