Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments
Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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It is of paramount importance in plant breeding to have methods dealing with large numbers of predictor variables and few sample observations, as well as efficient methods for dealing with high correlation in predictors and measured traits. This paper explores in terms of prediction performance the partial least squares (PLS) method under single-tr...
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Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments
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TN_cdi_doaj_primary_oai_doaj_org_article_3e7f5e53763447b695e0cb19d3fddc07
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e7f5e53763447b695e0cb19d3fddc07
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-37169-y
