Buntaran, Harimurti and Forkman, Johannes and Piepho, Hans-Peter
(2021).
Projecting results of zoned multi-environment trials to new locations using environmental covariates with random coefficient models: accuracy and precision.
Theoretical and Applied Genetics. 134
, 1513-1530
[Research article]
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Abstract
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 accuracy and precision for predictions of genotype performance in new locations, i.e. the grower's locations, which hardly ever coincide with the locations at which the trials were conducted. Linear mixed modelling can provide predictions for new locations. Moreover, the precision of the predictions is of primary concern and should be assessed. Besides, the precision can be improved when auxiliary information is available to characterize the targeted locations. Thus, in this study, we demonstrate the benefit of using environmental information (covariates) for predicting genotype performance in some new locations for Swedish winter wheat official trials. Swedish MET locations can be stratified into zones, allowing borrowing information between zones when best linear unbiased prediction (BLUP) is used. To account for correlations between zones, as well as for intercepts and slopes for the regression on covariates, we fitted random coefficient (RC) models. The results showed that the RC model with appropriate covariate scaling and model for covariate terms improved the precision of predictions of genotypic performance for new locations. The prediction accuracy of the RC model was competitive compared to the model without covariates. The RC model reduced the standard errors of predictions for individual genotypes and standard errors of predictions of genotype differences in new locations by 30-38% and 12-40%, respectively.
Authors/Creators: | Buntaran, Harimurti and Forkman, Johannes and Piepho, Hans-Peter | ||||||
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Title: | Projecting results of zoned multi-environment trials to new locations using environmental covariates with random coefficient models: accuracy and precision | ||||||
Series Name/Journal: | Theoretical and Applied Genetics | ||||||
Year of publishing : | 2021 | ||||||
Volume: | 134 | ||||||
Page range: | 1513-1530 | ||||||
Number of Pages: | 18 | ||||||
Publisher: | SPRINGER | ||||||
ISSN: | 0040-5752 | ||||||
Language: | English | ||||||
Publication Type: | Research article | ||||||
Article category: | Scientific peer reviewed | ||||||
Version: | Published version | ||||||
Copyright: | Creative Commons: Attribution 4.0 | ||||||
Full Text Status: | Public | ||||||
Subjects: | (A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Environmental Sciences (social aspects to be 507) | ||||||
URN:NBN: | urn:nbn:se:slu:epsilon-p-111752 | ||||||
Permanent URL: | http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-111752 | ||||||
Additional ID: |
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ID Code: | 23446 | ||||||
Faculty: | NJ - Fakulteten för naturresurser och jordbruksvetenskap | ||||||
Department: | (NL, NJ) > Dept. of Crop Production Ecology | ||||||
Deposited By: | SLUpub Connector | ||||||
Deposited On: | 07 May 2021 10:03 | ||||||
Metadata Last Modified: | 07 May 2021 10:11 |
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