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Article

Genome-enabled predictions for binomial traits in sugar beet populations.

BMC genetics - 22 Jul 2014

Biscarini Filippo, Stevanato Piergiorgio, Broccanello Chiara, Stella Alessandra, Saccomani Massimo

Abstract excerpt

BACKGROUND: Genomic information can be used to predict not only continuous but also categorical (e.g. binomial) traits. Several traits of interest in human medicine and agriculture present a discrete distribution of phenotypes (e.g. disease status). Root vigor in sugar beet (B. vulgaris) is an example of binomial trait of agronomic importance. In this paper, a panel of 192 SNPs (single nucleotide polymorphisms)...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 25053450
DOI: 10.1186/1471-2156-15-87
PMCID: PMC4113669

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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