Optimization of selective phenotyping and population design for genomic prediction
type: Item
instance of: scholarly article
title: Optimization of selective phenotyping and population design for genomic prediction
author: Nicolas Heslot
author: Vitaliy Feoktistov
publication date: 2022-10-18T00:00:00Z
Mathematics Subject Classification ID: 62P12
zbMATH DE Number: 7603045
zbMATH Keywords: training population
zbMATH Keywords: experimental design
zbMATH Keywords: population design
zbMATH Keywords: genomic selection
zbMATH Keywords: global optimization
describes a project that uses: R
describes a project that uses: Algorithm 971
describes a project that uses: rrBLUP
describes a project that uses: ASReml
MaRDI profile type: Publication
full work available at URL: s13253-020-00415-1
OpenAlex ID: W3089241121
cites work: On the design of field experiments with correlated treatment effects
cites work: Planning Incomplete Block Experiments When Treatments Are Genetically Related
cites work: Differential evolution. In search of solutions.
cites work: Algorithm 971
cites work: Construction of more flexible and efficient p-rep designs
DOI: 10.1007/S13253-020-00415-1
published in: Journal of Agricultural, Biological and Environmental Statistics
description: scientific article; zbMATH DE number 7603045