Factor-analytic variance-covariance structures for prediction into a target population of environments
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Publication:6649347
DOI10.1002/bimj.202400008MaRDI QIDQ6649347
Hans-Peter Piepho, Emlyn R. Williams
Publication date: 5 December 2024
Published in: Biometrical Journal (Search for Journal in Brave)
predictionrandom effectsgenotype-environment interactionmulti-environment trialstarget population of environmentsenvironmental covariatesFinlay-Wilkinson regressioncrop improvementfactorial regressionlatent environmental effect
Cites Work
- Title not available (Why is that?)
- A general Bayesian estimation method of linear-bilinear models applied to plant breeding trials with genotype \(\times\) environment interaction
- Another look at Bayesian analysis of AMMI models for genotype-environment data
- An efficient computing strategy for prediction in mixed linear models
- Influence diagnostics for generalized linear mixed models: applications to clustered data.
- Parsimonious estimation of multiplicative interaction in analysis of variance using Kullback-Leibler information
- Unbalanced Repeated-Measures Models with Structured Covariance Matrices
- Analyzing Variety by Environment Data Using Multiplicative Mixed Models and Adjustments for Spatial Field Trend
- Model Selection and Validation for Yield Trials with Interaction
- Prediction-interval procedures and (fixed-effects) confidence-interval procedures for mixed linear models
- Non-Additivity in Two-Way Analysis of Variance
- Lower Rank Approximation of Matrices by Least Squares with Any Choice of Weights
- Multiplicative effects in mixed model analysis of variance
- Analyzing Genotype-Environment Data by Mixed Models with Multiplicative Terms
- Prediction in linear mixed models
- Fitting A Regression Model for Genotype‐By‐Environment Data on Heading Dates in Grasses by Methods for Nonlinear Mixed Models
- Two way analysis using covarites1
- REML Estimation of Multiplicative Effects in Multienvironment Variety Trails
- The use of a reference variety for comparisons in incomplete series of crop variety trials
- A survey on multivariate chi-square distributions and their applications in testing multiple hypotheses
- Analyzing Multi‐environment Variety Trials Using Randomization‐Derived Mixed Models
- Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors
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