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

Multi-environment QTL mixed models for drought stress adaptation in wheat.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Nov 2008

Mathews Ky L, Malosetti Marcos, Chapman Scott, McIntyre Lynne, Reynolds Matthew, Shorter Ray, van Eeuwijk Fred

Abstract excerpt

Many quantitative trait loci (QTL) detection methods ignore QTL-by-environment interaction (QEI) and are limited in accommodation of error and environment-specific variance. This paper outlines a mixed model approach using a recombinant inbred spring wheat population grown in six drought stress trials. Genotype estimates for yield, anthesis date and height were calculated using the best design and spatial effects...

Read the complete abstract on PubMed

Topics

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

Share to Adaptation, Biological
Share to Droughts

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Models, Genetic

Share to Quantitative Trait Loci

Share to Triticum

Source

Identifiers

PMID: 18696042
DOI: 10.1007/s00122-008-0846-8

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

Multi-environment QTL mixed models for drought stress adaptation in wheat.PMID 18696042Read ↗

Multi-trait and multi-environment QTL analyses of yield and a set of physiological traits in pepper.Semantic proximity Read ↗

Mapping QTLs and QTL x environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods.Semantic proximity Read ↗

Genome-wide association study of drought tolerance in wheat (Triticum aestivum L.) identifies SNP markers and candidate genes.Semantic proximity Read ↗

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

A mixed-model quantitative trait loci (QTL) analysis for multiple-environment trial data using environmental covariables for QTL-by-environment interactions, with an example in maize.Semantic proximity Read ↗

Two New Strategies for Detecting and Understanding QTL × Environment InteractionsSemantic proximity Read ↗

Mapping QTLs associated with agronomic and physiological traits under terminal drought and heat stress conditions in wheat (Triticum aestivum L.).Semantic proximity Read ↗

Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions.Semantic proximity Read ↗

Multi-environment analysis and improved mapping of a yield-related QTL on chromosome 3B of wheat.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 ↗

Drought stress and tropical maize: QTL-by-environment interactions and stability of QTLs across environments for yield components and secondary traits.Semantic proximity Read ↗

Heat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects.Semantic proximity Read ↗

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