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

Genome-based prediction of test cross performance in two subsequent breeding cycles.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Dec 2012

Hofheinz Nina, Borchardt Dietrich, Weissleder Knuth, Frisch Matthias

Abstract excerpt

Genome-based prediction of genetic values is expected to overcome shortcomings that limit the application of QTL mapping and marker-assisted selection in plant breeding. Our goal was to study the genome-based prediction of test cross performance with genetic effects that were estimated using geno...

Read the complete abstract on PubMed

Topics

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

Share to Breeding
Share to Carbohydrate Metabolism
Share to Crosses, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Plant

Share to Inbreeding

Share to Linear Models

Share to Linkage Disequilibrium

Share to Saccharum

Source

Identifiers

PMID: 22814724
DOI: 10.1007/s00122-012-1940-5

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-22814724-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genome-based prediction of test cross performance in two subsequent breeding cycles.PMID 22814724Read ↗

Genomic selection in sugar beet breeding populations.Semantic proximity Read ↗

Efficiency of genomic prediction of non-assessed single crosses.Semantic proximity Read ↗

Cross-validation in association mapping and its relevance for the estimation of QTL parameters of complex traits.Semantic proximity Read ↗

Genome-enabled predictions for binomial traits in sugar beet populations.Semantic proximity Read ↗

Model training across multiple breeding cycles significantly improves genomic prediction accuracy in rye (Secale cereale L.).Semantic proximity Read ↗

Accuracy of genomic prediction of complex traits in sugarcane.Semantic proximity Read ↗

Making the most of all data: Combining non-genotyped and genotyped potato individuals with HBLUP.Semantic proximity Read ↗

Using machine learning and partial dependence to evaluate robustness of best linear unbiased prediction (BLUP) for phenotypic values.Semantic proximity Read ↗

Genomic selection validated across two generations of loblolly pine breeding.Semantic proximity Read ↗

Long-term response to genomic selection: effects of estimation method and reference population structure for different genetic architectures.Semantic proximity Read ↗

Exploiting historical agronomic data to develop genomic prediction strategies for early clonal selection in the Louisiana sugarcane variety development program.Semantic proximity Read ↗

Genome-based prediction of testcross values in maize.Semantic proximity Read ↗

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