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

Comparisons of single-stage and two-stage approaches to genomic selection.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Jan 2013

Schulz-Streeck Torben, Ogutu Joseph O, Piepho Hans-Peter

Abstract excerpt

Genomic selection (GS) is a method for predicting breeding values of plants or animals using many molecular markers that is commonly implemented in two stages. In plant breeding the first stage usually involves computation of adjusted means for genotypes which are then used to predict genomic breeding values in the second stage. We compared two classical stage-wise approaches, which either ignore or approximate...

Read the complete abstract on PubMed

Topics

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

Share to Crosses, Genetic
Share to Genes, Plant
Share to Haploidy

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Least-Squares Analysis

Share to Models, Statistical

Share to Regression Analysis

Share to Reproducibility of Results

Share to Zea mays

Source

Identifiers

PMID: 22903736
DOI: 10.1007/s00122-012-1960-1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Comparisons of single-stage and two-stage approaches to genomic selection.PMID 22903736Read ↗

The gradient boosting algorithm and random boosting for genome-assisted evaluation in large data sets.Semantic proximity Read ↗

Assessing the performance of a novel method for genomic selectio:rrBLUP-method6.Semantic proximity Read ↗

Genomic selection and its importance in animal breeding and genetic improvement revolution: A comprehensive reviewSemantic proximity Read ↗

Genomic selection: Essence, applications, and prospects.Semantic proximity Read ↗

A new approach fits multivariate genomic prediction models efficiently.Semantic proximity Read ↗

Advances in integrated genomic selection for rapid genetic gain in crop improvement: a review.Semantic proximity Read ↗

Evaluation of random forest regression for prediction of breeding value from genomewide SNPs.Semantic proximity Read ↗

A marker weighting approach for enhancing within-family accuracy in genomic prediction.Semantic proximity Read ↗

A comparison of methods for training population optimization in genomic selection.Semantic proximity Read ↗

A Penalized Regression Method for Genomic Prediction Reduces Mismatch between Training and Testing Sets.Semantic proximity Read ↗

Two simple methods to improve the accuracy of the genomic selection methodology.Semantic proximity Read ↗

Genomic Selection in Multi-environment Crop Trials.Semantic proximity Read ↗

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