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Article

Partial least squares enhance multi-trait genomic prediction of potato cultivars in new environments.

Scientific reports - 19 Jun 2023

Ortiz Rodomiro, Reslow Fredrik, Montesinos-López Abelardo, Huicho José, Pérez-Rodríguez Paulino, Montesinos-López Osval A, Crossa José

Abstract excerpt

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-trait (ST) and multi-trait (MT) prediction of potato traits. The...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 37336933
DOI: 10.1038/s41598-023-37169-y
PMCID: PMC10279678

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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