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

Genomic predictions of genetic variances and correlations among traits for breeding crosses in soybean.

Heredity - 1 Sept 2024

Wartha Cleiton A, Lorenz Aaron J

Abstract excerpt

Parental selection is perhaps the most critical decision a breeder makes, establishing the foundation of the entire program for years to come. Cross selection based on predicted mean and genetic variance can be further expanded to multiple-trait improvement by predicting the genetic correlation ( r G ) between pairs of traits. Our objective was to empirically assess the ability to predict the family mean, genetic...

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 Genome, Plant
Share to Genomics

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Glycine max

Share to Models, Genetic

Share to Plant Breeding

Share to Quantitative Trait, Heritable

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 38997517
DOI: 10.1038/s41437-024-00703-3
PMCID: PMC11350137

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

Genomic predictions of genetic variances and correlations among traits for breeding crosses in soybean.PMID 38997517Read ↗

Training set design in genomic prediction with multiple biparental families.Semantic proximity Read ↗

Prospects of Genomic Prediction in the USDA Soybean Germplasm Collection: Historical Data Creates Robust Models for Enhancing Selection of Accessions.Semantic proximity Read ↗

Genomic selection performs as effectively as phenotypic selection for increasing seed yield in soybean.Semantic proximity Read ↗

Haplotype diversity underlying quantitative traits in Canadian soybean breeding germplasm.Semantic proximity Read ↗

Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean.Semantic proximity Read ↗

Assessing Predictive Properties of Genome-Wide Selection in Soybeans.Semantic proximity Read ↗

Genetic Architecture of Soybean Yield and Agronomic Traits.Semantic proximity Read ↗

Genetic Characterization of the Soybean Nested Association Mapping Population.Semantic proximity Read ↗

Genome-wide association study and genomic selection for yield and related traits in soybean.Semantic proximity Read ↗

Quantitative Genomic Dissection of Soybean Yield Components.Semantic proximity Read ↗

Genomic prediction in family bulks using different traits and cross-validations in pine.Semantic proximity Read ↗

SoySNP618K array: A high-resolution single nucleotide polymorphism platform as a valuable genomic resource for soybean genetics and breeding.Semantic proximity Read ↗

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