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Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d88f5c22f3c54d70a62afd5d78a702ca

Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

About this item

Full title

Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

Publisher

England: Oxford University Press

Journal title

G3 : genes - genomes - genetics, 2018-12, Vol.8 (12), p.3813-3828

Language

English

Formats

Publication information

Publisher

England: Oxford University Press

More information

Scope and Contents

Contents

Abstract
Genomic selection is revolutionizing plant breeding and therefore methods that improve prediction accuracy are useful. For this reason, active research is being conducted to build and test methods from other areas and adapt them to the context of genomic selection. In this paper we explore the novel deep learning (DL) methodology in the...

Alternative Titles

Full title

Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d88f5c22f3c54d70a62afd5d78a702ca

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d88f5c22f3c54d70a62afd5d78a702ca

Other Identifiers

ISSN

2160-1836

E-ISSN

2160-1836

DOI

10.1534/g3.118.200740

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