Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Accuracy of genotypic value predictions for marker-based selection in biparental plant populations.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Dec 2009

Lorenzana Robenzon E, Bernardo Rex

Abstract excerpt

The availability of cheap and abundant molecular markers has led to plant-breeding methods that rely on the prediction of genotypic value from marker data, but published information is lacking on the accuracy of genotypic value predictions with empirical data in plants. Our objectives were to (1) determine the accuracy of genotypic value predictions from multiple linear regression (MLR) and genomewide selection...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Arabidopsis
Share to Breeding
Share to Crosses, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Epistasis, Genetic

Share to Genome, Plant

Share to Hordeum

Share to Selection, Genetic

Share to Zea mays

Source

Identifiers

PMID: 19841887
DOI: 10.1007/s00122-009-1166-3

Provenance

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.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Accuracy of genotypic value predictions for marker-based selection in biparental plant populations.PMID 19841887Read ↗

Genomic prediction models for traits differing in heritability for soybean, rice, and maize.Semantic proximity Read ↗

Usefulness of multiparental populations of maize (Zea mays L.) for genome-based prediction.Semantic proximity Read ↗

Accounting for epistasis improves genomic prediction of phenotypes with univariate and bivariate models across environments.Semantic proximity Read ↗

Overview of Genomic Prediction Methods and the Associated Assumptions on the Variance of Marker Effect, and on the Architecture of the Target Trait.Semantic proximity Read ↗

Genomic Prediction Within and Across Biparental Families: Means and Variances of Prediction Accuracy and Usefulness of Deterministic Equations.Semantic proximity Read ↗

Multiple-trait genomic selection methods increase genetic value prediction accuracy.Semantic proximity Read ↗

Comparison of genomic and traditional BLUP-estimated breeding value accuracy and selection response under alternative trait and genomic parameters.Semantic proximity Read ↗

Comprehensive analytical and empirical evaluation of genomic prediction across diverse accessions in maize.Semantic proximity Read ↗

Optimizing genomic predictions in maize using a diversity panel and a multiparental population.Semantic proximity Read ↗

Genomic prediction using information across years with epistatic models and dimension reduction via haplotype blocks.Semantic proximity Read ↗

Genomic prediction in CIMMYT maize and wheat breeding programs.Semantic proximity Read ↗

Use of multiple traits genomic prediction, genotype by environment interactions and spatial effect to improve prediction accuracy in yield data.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.