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 prediction applied to multiple traits and environments in second season maize hybrids.

Heredity - 1 Aug 2020

de Oliveira Amanda Avelar, Resende Marcio F R, Ferrão Luís Felipe Ventorim, Amadeu Rodrigo Rampazo, Guimarães Lauro José Moreira, Guimarães Claudia Teixeira, Pastina Maria Marta, Margarido Gabriel Rodrigues Alves

Abstract excerpt

Genomic selection has become a reality in plant breeding programs with the reduction in genotyping costs. Especially in maize breeding programs, it emerges as a promising tool for predicting hybrid performance. The dynamics of a commercial breeding program involve the evaluation of several traits simultaneously in a large set of target environments. Therefore, multi-trait multi-environment (MTME) genomic...

Read the complete abstract on PubMed

Topics

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

Share to Environment
Share to Genome, Plant

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Hybridization, Genetic

Share to Models, Genetic

Share to Plant Breeding

Share to Seasons

Share to Zea mays

Source

Open in PubMed Open full text

Identifiers

PMID: 32472060
DOI: 10.1038/s41437-020-0321-0
PMCID: PMC7413256

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 prediction applied to multiple traits and environments in second season maize hybrids.PMID 32472060Read ↗

Genomic prediction in multi-environment trials in maize using statistical and machine learning methods.Semantic proximity Read ↗

Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids.Semantic proximity Read ↗

The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment.Semantic proximity Read ↗

Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction.Semantic proximity Read ↗

Environment-specific genomic prediction ability in maize using environmental covariates depends on environmental similarity to training data.Semantic proximity Read ↗

Leveraging data from the Genomes-to-Fields Initiative to investigate genotype-by-environment interactions in maize in North America.Semantic proximity Read ↗

Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials.Semantic proximity Read ↗

Genomic prediction in biparental tropical maize populations in water-stressed and well-watered environments using low-density and GBS SNPs.Semantic proximity Read ↗

Genomic Prediction of Complex Traits in an Allogamous Annual Crop: The Case of Maize Single-Cross Hybrids.Semantic proximity Read ↗

Assessing combining abilities, genomic data, and genotype × environment interactions to predict hybrid grain sorghum performance.Semantic proximity Read ↗

Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models.Semantic proximity Read ↗

Genomic Selection in Plant Breeding: Methods, Models, and Perspectives.Semantic proximity Read ↗

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