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MAGIC populations in crops: current status and future prospects

Theoretical and applied genetics, 2015-06, Vol.128 (6), p.999-1017

2015

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WGNAM: whole-genome nested association mapping

Theoretical and applied genetics, 2022-07, Vol.135 (7), p.2213-2232

2022

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Transcriptomic analysis of wheat near-isogenic lines identifies PM19-A1 and A2 as candidates for a major dormancy QTL

Genome Biology, 2015-05, Vol.16 (1), p.93-93, Article 93

2015

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Whole-genome QTL analysis for MAGIC

Theoretical and applied genetics, 2014-08, Vol.127 (8), p.1753-1770

2014

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Tensor Cubic Smoothing Splines in Designed Experiments Requiring Residual Modelling

Journal of agricultural, biological, and environmental statistics, 2018-12, Vol.23 (4), p.478-508

2018

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analysis of QTL by simultaneous use of the full linkage map

Theoretical and applied genetics, 2007-12, Vol.116 (1), p.95-111

2007

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Covariance Clustering: Modelling Covariance in Designed Experiments When the Number of Variables is Greater than Experimental Units

Journal of agricultural, biological, and environmental statistics, 2024-06, Vol.29 (2), p.232-256

2024

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Residual Variance–Covariance Modelling in Analysis of Multivariate Data from Variety Selection Trials

Journal of agricultural, biological, and environmental statistics, 2017-03, Vol.22 (1), p.1-22

2017

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Statistical methods for analysis of multi-harvest data from perennial pasture variety selection trials

Crop and pasture science, 2015-01, Vol.66 (9), p.947

2015

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Multivariate whole genome average interval mapping: QTL analysis for multiple traits and/or environments

Theoretical and applied genetics, 2012-09, Vol.125 (5), p.933-953

2012

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Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials

Theoretical and applied genetics, 2007-05, Vol.114 (8), p.1319-1332

2007

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Whole-genome analysis of multienvironment or multitrait QTL in MAGIC

G3 : genes - genomes - genetics, 2014-09, Vol.4 (9), p.1569-1584

2014

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Accounting for natural and extraneous variation in the analysis of field experiments

Journal of agricultural, biological, and environmental statistics, 1997-09, Vol.2 (3), p.269-293

1997

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The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines

Journal of the Royal Statistical Society, 1999, Vol.48 (3), p.269-311

1999

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Transferring a Biomass Enhancement Biotechnology from Glasshouse to Field: A Case Study on Wheat GWD RNAi

Agronomy (Basel), 2017-12, Vol.7 (4), p.82

2017

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Use of a large multiparent wheat mapping population in genomic dissection of coleoptile and seedling growth

Plant biotechnology journal, 2014-02, Vol.12 (2), p.219-230

2014

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Estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines

Genetics selection evolution (Paris), 2009-11, Vol.41 (1), p.48-48, Article 48

2009

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Anisotropic Matern correlation and spatial prediction using REML

Journal of agricultural, biological, and environmental statistics, 2007-06, Vol.12 (2), p.147-160

2007

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Estimating a Single Shelf-Life for Multiple Batches

Australian & New Zealand journal of statistics, 2012-09, Vol.54 (3), p.343-358

2012

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Nonparametric Estimation of Covariance Structure in Longitudinal Data

Biometrics, 1998-06, Vol.54 (2), p.401-415

1998

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RWGAIM: an efficient high-dimensional random whole genome average (QTL) interval mapping approach

Genetics Research, 2012-12, Vol.94 (6), p.291-306

2012

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Incorporating LASSO effects into a mixed model for quantitative trait loci detection

Journal of agricultural, biological, and environmental statistics, 2007-06, Vol.12 (2), p.300-314

2007

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ESTIMATION, PREDICTION AND INFERENCE FOR THE LASSO RANDOM EFFECTS MODEL

Australian & New Zealand journal of statistics, 2009-03, Vol.51 (1), p.43-61

2009

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Sponge and dough bread making: genetic and phenotypic relationships with wheat quality traits

Theoretical and applied genetics, 2010-09, Vol.121 (5), p.815-828

2010

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A random model approach for the LASSO

Computational statistics, 2008-04, Vol.23 (2), p.217-233

2008

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MAGIC populations in crops: current status and future prospects

WGNAM: whole-genome nested association mapping

Transcriptomic analysis of wheat near-isogenic lines identifies PM19-A1 and A2 as candidates for a major dormancy QTL

Whole-genome QTL analysis for MAGIC

Tensor Cubic Smoothing Splines in Designed Experiments Requiring Residual Modelling

analysis of QTL by simultaneous use of the full linkage map

Covariance Clustering: Modelling Covariance in Designed Experiments When the Number of Variables is Greater than Experimental Units

Residual Variance–Covariance Modelling in Analysis of Multivariate Data from Variety Selection Trials

Statistical methods for analysis of multi-harvest data from perennial pasture variety selection trials

Multivariate whole genome average interval mapping: QTL analysis for multiple traits and/or environments

Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials

Whole-genome analysis of multienvironment or multitrait QTL in MAGIC

Accounting for natural and extraneous variation in the analysis of field experiments

The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines

Transferring a Biomass Enhancement Biotechnology from Glasshouse to Field: A Case Study on Wheat GWD RNAi

Use of a large multiparent wheat mapping population in genomic dissection of coleoptile and seedling growth

Estimated breeding values and association mapping for persistency and total milk yield using natural cubic smoothing splines

Anisotropic Matern correlation and spatial prediction using REML

Estimating a Single Shelf-Life for Multiple Batches

Nonparametric Estimation of Covariance Structure in Longitudinal Data

RWGAIM: an efficient high-dimensional random whole genome average (QTL) interval mapping approach

Incorporating LASSO effects into a mixed model for quantitative trait loci detection

ESTIMATION, PREDICTION AND INFERENCE FOR THE LASSO RANDOM EFFECTS MODEL

Sponge and dough bread making: genetic and phenotypic relationships with wheat quality traits

A random model approach for the LASSO

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