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

Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend.

Biometrics - 1 Dec 2001

Smith A, Cullis B, Thompson R

Abstract excerpt

The recommendation of new plant varieties for commercial use requires reliable and accurate predictions of the average yield of each variety across a range of target environments and knowledge of important interactions with the environment. This information is obtained from series of plant variety trials, also known as multi-environment trials (MET). Cullis, Gogel, Verbyla, and Thompson (1998) presented a spatial...

Read the complete abstract on PubMed

Topics

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

Share to Analysis of Variance
Share to Biometry
Share to Breeding

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Environment

Share to MET gene

Share to Genetic Variation

Share to Models, Statistical

Share to Plants

Source

Identifiers

PMID: 11764254
DOI: 10.1111/j.0006-341x.2001.01138.x

Genes

MET

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend.PMID 11764254Read ↗

Spatial adjustment in field trend for genotype by environment data analysis of Ethiopian malting barley breeding programSemantic proximity Read ↗

Evaluation of finger millet (Eleusine coracana (L.) Gaertn.) in multi-environment trials using enhanced statistical models.Semantic proximity Read ↗

A framework for simulating genotype-by-environment interaction using multiplicative models.Semantic proximity Read ↗

A stage-wise approach for the analysis of multi-environment trials.Semantic proximity Read ↗

Genomic selection for genotype performance and stability using information on multiple traits and multiple environments.Semantic proximity Read ↗

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

Application of factor analytic and spatial mixed models for the analysis of multi-environment trials in common bean (Phaseolus vulgaris L.) in Ethiopia.Semantic proximity Read ↗

GIS-FA: an approach to integrating thematic maps, factor-analytic, and envirotyping for cultivar targeting.Semantic proximity Read ↗

Analysis of yield and oil from a series of canola breeding trials. Part I. Fitting factor analytic mixed models with pedigree information.Semantic proximity Read ↗

Mixed spatial models for data analysis of yield on large grapevine selection field 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 ↗

Factor-analytic models for genotype x environment type problems and structured covariance matrices.Semantic proximity Read ↗

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