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
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England: Oxford University Press
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English
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England: Oxford University Press
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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...
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Multi-environment Genomic Prediction of Plant Traits Using Deep Learners With Dense Architecture
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TN_cdi_doaj_primary_oai_doaj_org_article_d88f5c22f3c54d70a62afd5d78a702ca
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d88f5c22f3c54d70a62afd5d78a702ca
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2160-1836
E-ISSN
2160-1836
DOI
10.1534/g3.118.200740