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Article

Multi-trait/environment sparse genomic prediction using the SFSI R-package.

The plant genome - 1 Jun 2025

Lopez-Cruz Marco, de Los Campos Gustavo

Abstract excerpt

Sparse selection indices (SSIs) can be used to predict the genetic merit of selection candidates using high-dimensional phenotypes (e.g., crop imaging) measured on each of the candidates of selection. Unlike traditional selection indices, SSIs can perform variable selection, thus enabling borrowing of information from a subset of the measured phenotypes. Likewise, sparse genomic prediction (SGP) can be used to...

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PMID: 40514769
DOI: 10.1002/tpg2.70050
PMCID: PMC12166114

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