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Projecting results of zoned multi-environment trials to new locations using environmental covariates...

Projecting results of zoned multi-environment trials to new locations using environmental covariates...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_slubar_slu_se_111752

Projecting results of zoned multi-environment trials to new locations using environmental covariates with random coefficient models: accuracy and precision

About this item

Full title

Projecting results of zoned multi-environment trials to new locations using environmental covariates with random coefficient models: accuracy and precision

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Theoretical and applied genetics, 2021-05, Vol.134 (5), p.1513-1530

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Key message
We propose the utilisation of environmental covariates in random coefficient models to predict the genotype performances in new locations.
Multi-environment trials (MET) are conducted to assess the performance of a set of genotypes in a target population of environments. From a grower’s perspective, MET results must provide high a...

Alternative Titles

Full title

Projecting results of zoned multi-environment trials to new locations using environmental covariates with random coefficient models: accuracy and precision

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_swepub_primary_oai_slubar_slu_se_111752

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_slubar_slu_se_111752

Other Identifiers

ISSN

0040-5752,1432-2242

E-ISSN

1432-2242

DOI

10.1007/s00122-021-03786-2

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