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Genomic index selection provides a pragmatic framework for setting and refining multi-objective breeding targets in Miscanthus
Author(s) -
Gancho T. Slavov,
Christopher L. Davey,
Maurice Bosch,
P. R. H. Robson,
Iain Donnison,
Ian Mackay
Publication year - 2018
Publication title -
annals of botany
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.567
H-Index - 176
eISSN - 1095-8290
pISSN - 0305-7364
DOI - 10.1093/aob/mcy187
Subject(s) - biology , selection (genetic algorithm) , biomass (ecology) , miscanthus , phenomics , microbiology and biotechnology , plant breeding , population , phenology , genomics , agronomy , bioenergy , genome , genetics , biofuel , computer science , gene , machine learning , demography , sociology
Miscanthus has potential as a biomass crop but the development of varieties that are consistently superior to the natural hybrid M. × giganteus has been challenging, presumably because of strong G × E interactions and poor knowledge of the complex genetic architectures of traits underlying biomass productivity and climatic adaptation. While linkage and association mapping studies are starting to generate long lists of candidate regions and even individual genes, it seems unlikely that this information can be translated into effective marker-assisted selection for the needs of breeding programmes. Genomic selection has emerged as a viable alternative, and prediction accuracies are moderate across a range of phenological and morphometric traits in Miscanthus, though relatively low for biomass yield per se.

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