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Factor-analytic models for genotype x environment type problems and structured covariance matrices.

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Boer MP, Wright D, Feng L, Podlich DW, Luo L, Cooper M, van Eeuwijk FA.

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

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Liu Y, Zeng ZB.

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[Analytic methods for seed models with genotype x environment interactions]

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Effects of data structure on the estimation of covariance functions to describe genotype by environment interactions in a reaction norm model.

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A dynamic linear model for genetic analysis of longitudinal traits.

Forni S, Gianola D, Rosa GJ, de Los Campos G.

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Index selection on seed traits under direct, cytoplasmic and maternal effects in multiple environments.

Zhang W, Xu H, Zhu J.

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Restricted maximum likelihood estimation of genetic principal components and smoothed covariance matrices.

Meyer K, Kirkpatrick M.

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Up hill, down dale: quantitative genetics of curvaceous traits.

Meyer K, Kirkpatrick M.

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Reducing the bias of estimates of genotype by environment interactions in random regression sire models.

Lillehammer M, Odegård J, Meuwissen TH.

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Bayesian prediction of breeding values by accounting for genotype-by-environment interaction in self-pollinating crops.

Bauer AM, Hoti F, Reetz TC, Schuh WD, Léon J, Sillanpää MJ.

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Alternative animal models with maternal effects and foster dams.

Van Vleck LD.

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Factor analysis models for structuring covariance matrices of additive genetic effects: a Bayesian implementation.

de Los Campos G, Gianola D.

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Nearest neighbour adjustment and linear variance models in plant breeding trials.

Piepho HP, Richter C, Williams E.

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Sequential transformation for multiple traits for estimation of (co)variance components with a derivative-free algorithm for restricted maximum likelihood.

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