Ganesalingam, A., Smith, A. B., Beeck, C. P., Cowling, W. A., Thompson, R. and Cullis, B. R. 2013. A bivariate mixed model approach for the analysis of plant survival data. Euphytica. 190 (3), pp. 371-383. https://doi.org/10.1007/s10681-012-0791-0
Welham, S. J., Cullis, B. R., Kenward, M. G. and Thompson, R. 2007. A comparison of mixed model splines for curve fitting. Australian & New Zealand Journal of Statistics. 49 (1), pp. 1-23. https://doi.org/10.1111/j.1467-842X.2006.00454.x
Welham, S. J. and Thompson, R. 2009. A note on bimodality in the log-likelihood function for penalized spline mixed models. Computational Statistics & Data Analysis. 53 (4), pp. 920-931. https://doi.org/10.1016/j.csda.2008.10.031
C1 - Edited contributions to conferences/learned societies
Thompson, R. 2002. A review of genetic parameter estimation. Proceedings 7th World Congress on Genetics Applied to Livestock Production, Montpellier, 19-23 August 2002 . pp. 17-01
Thompson, R., Cullis, B. R., Smith, A. and Gilmour, A. 2003. A sparse implementation of the average information algorithm for factor analytic and reduced rank variance models. Australian & New Zealand Journal of Statistics. 45 (4), pp. 445-459. https://doi.org/10.1111/1467-842X.00297
Gilmour, A., Cullis, B. R., Welham, S. J., Gogel, B. and Thompson, R. 2004. An efficient computing strategy for prediction in mixed linear models. Computational Statistics & Data Analysis. 44 (4), pp. 571-586. https://doi.org/10.1016/S0167-9473(02)00258-X
Lark, R. M. and Webster, R. 2004. Analysing soil variation in two dimensions with the discrete wavelet transform. European Journal of Soil Science. 55 (4), pp. 777-797. https://doi.org/10.1111/j.1365-2389.2004.00630.x
Varona, L., Sorensen, D. and Thompson, R. 2007. Analysis of litter size and average litter weight in pigs using a recursive model. Genetics. 177 (3), pp. 1791-1799. https://doi.org/10.1534/genetics.107.077818
Mcdowell, R. W., Condron, L. M., Mahieu, N., Brookes, P. C., Poulton, P. R. and Sharpley, A. N. 2002. Analysis of potentially mobile phosphorus in arable soils using solid state nuclear magnetic resonance. Journal of Environmental Quality. 31, pp. 450-456.
Webster, R. 2007. Analysis of variance, inference, multiple comparisons and sampling effects in soil research. European Journal of Soil Science. 58 (1), pp. 74-82. https://doi.org/10.1111/j.1365-2389.2006.00801.x
Smith, A., Cullis, B. R. and Thompson, R. 2001. Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend. Biometrics. 57 (4), pp. 1138-1147. https://doi.org/10.1111/j.0006-341X.2001.01138.x
Thompson, R. 2002. Aplicacion de la estadistica. Solemne acto academico de investidura como Doctor Honoris Causa del Excmo. Sr. D. Daniel Gianola y del Excmo. Sr. D. Robin Thompson, Universidad Politecnica de Valencia, 8 November 2002 .
C1 - Edited contributions to conferences/learned societies
Gilmour, A. R., Thompson, R., Cullis, B. R. and Welham, S. J. 2002. ASREML estimates variance matrices from multivariate data using the animal model. Proceedings 7th World Congress on Genetics Applied to Livestock Production, Montpellier, 19-23 August 2002 . pp. 28-05
Foster, S. P., Kift, N. B., Baverstock, J., Sime, S., Reynolds, K., Jones, J. E., Thompson, R. and Tatchell, G. M. 2003. Association of MACE-based insecticide resistance in Myzus persicae with reproductive rate, response to alarm pheromone and vulnerability to attack by Aphidius colemani. Pest Management Science. 59 (11), pp. 1169-1178. https://doi.org/10.1002/ps.751
Foster, S. P., Tomiczek, M., Thompson, R., Denholm, I., Poppy, G. M., Kraaijeveld, A. R. and Powell, W. 2007. Behavioural side-effects of insecticide resistance in aphids increase their vulnerability to parasitoid attack. Animal Behaviour. 74 (3), pp. 621-632. https://doi.org/10.1016/j.anbehav.2006.12.018
Roughsedge, T., Amer, P. R., Thompson, R. and Simm, G. 2005. Development of a maternal breeding goal and tools to select for this goal in UK beef production. Animal Science. 81 (2), pp. 221-232. https://doi.org/10.1079/ASC50230221
Kolnaar, R. W. and Van Den Bosch, F. 2001. Effect of temperature on epidemiological parameters of Puccinia lagenophorae. Plant Pathology. 50 (3), pp. 363-370. https://doi.org/10.1046/j.1365-3059.2001.00533.x
Georget, D. M. R., Toscano-Underwood, C., Powers, S. J., Shewry, P. R. and Belton, P. S. 2008. Effect of variety and environmental factors on gluten proteins: an analytical, spectroscopic and rheological study. Journal of Agricultural and Food Chemistry - JAFC. 56, pp. 1172-1179. https://doi.org/10.1021/jf072443t
Matilainen, K., Mantysaari, E. A., Lidauer, M. H., Stranden, L. and Thompson, R. 2012. Employing a Monte Carlo algorithm in expectation maximization restricted maximum likelihood estimation of the linear mixed model. Journal of Animal Breeding and Genetics. 129 (6), pp. 457-468. https://doi.org/10.1111/j.1439-0388.2012.01000.x
Harrington, R., Clark, S. J., Welham, S. J., Verrier, P. J., Denholm, C. H., Hulle, M., Maurice, D., Rounsevell, M. D., Cocu, N. and European Union Examine Consortium 2007. Environmental change and the phenology of European aphids. Global Change Biology. 13 (8), pp. 1550-1564. https://doi.org/10.1111/j.1365-2486.2007.01394.x
Webster, R., Welham, S. J., Potts, J. M. and Oliver, M. A. 2006. Estimating the spatial scales of regionalized variables by nested sampling, hierarchical analysis of variance and residual maximum likelihood. Computers & Geosciences. 32, pp. 1320-1333. https://doi.org/10.1016/j.cageo.2005.12.002
Thompson, R. 2005. Estimation of genetic parameters. in: Mrode, R. A. (ed.) Linear models for the prediction of animal breeding values, 2nd ed. CABI International, Wallingford, Oxon (CABI). pp. 235-245
Thompson, R. 2008. Estimation of quantitative genetic parameters. Proceedings of the Royal Society B: Biological Sciences. 275, pp. 679-686. https://doi.org/10.1098/rspb.2007.1417
Thompson, R., Brotherstone, S. and White, I. M. S. 2005. Estimation of quantitative genetic parameters. Philosophical Transactions of the Royal Society B-Biological Sciences. 360 (1459), pp. 1469-1477. https://doi.org/10.1098/rstb.2005.1676
Smith, A., Cullis, B. R. and Thompson, R. 2002. Exploring variety - environment data using random effects AMMI models with adjustments for spatial field trend: Part 1. Theory. in: Kang, M. S. (ed.) Quantitative genetics, genomics and plant breeding Wallingford, Oxon CAB International (CABI). pp. 323-335
Smith, A., Cullis, B. R., Luckett, D., Hollamby, G. and Thompson, R. 2002. Exploring variety - environment data using random effects AMMI models with adjustments for spatial field trend: Part 2. Applications. in: Kang, M. S. (ed.) Quantitative genetics, genomics and plant breeding Wallingford, Oxon CAB International (CABI). pp. 337-351
Pan, J. and Thompson, R. 2003. Gauss-Hermite quadrature approximation for estimation in generalised linear mixed models. Computational Statistics. 18 (1), pp. 57-78. https://doi.org/10.1007/s001800300132
Griffiths, J., Murase, K., Rieu, I., Zentella, R., Zhang, Z-L., Powers, S. J., Gong, F., Phillips, A. L., Hedden, P., Sun, T-P. and Thomas, S. G. 2006. Genetic characterization and functional analysis of the GID1 gibberellin receptors in Arabidopsis. The Plant Cell. 18 (12), pp. 3399-3414. https://doi.org/10.1105/tpc.106.047415
Welham, S. J. and Clark, S. J. 2006. Issues concerning the design and analysis of comparative field experiments. Outlooks on Pest Management. 17, pp. 175-180. https://doi.org/10.1564/17aug10
C1 - Edited contributions to conferences/learned societies
Resende, M. D. V., Stringer, J., Cullis, B. and Thompson, R. 2004. Joint modelling of competition and spatial variability in forest field trials. Borralho, N. (ed.) Eucalyptus in a Changing World. Proceedings of the IUFRO Conference, Aveiro, 11-15 October 2004 .
Foulkes, M. J., Paveley, N. D., Worland, A., Welham, S. J., Thomas, J. and Snape, J. W. 2006. Major genetic changes in wheat with potential to affect disease tolerance. Phytopathology. 96, pp. 680-688. https://doi.org/10.1094/PHYTO-96-0680
Grasman, J., Van Den Bosch, F. and Van Herwaarden, O. A. 2001. Mathematical conservation ecology: a one-predator-two-prey system as a case study. Bulletin Of Mathematical Biology. 63, pp. 259-269.
Rinaldi, M., Di Paolo. E., Richter, G. M. and Payne, R. W. 2005. Modelling the effect of soil moisture on germination and emergence of wheat and sugar beet with the minimum number of parameters. Annals of Applied Biology - AAB. 147 (1), pp. 69-80. https://doi.org/10.1111/j.1744-7348.2005.00018.x
Vilela De Resende, M. D., Thompson, R., Welham, S. J. and Baierl, A. 2003. Multivariate spatial statistical analysis in perennial crops. Abstracts International Biometric Society British Region Conference, Reading, 16-18 September 2003 . pp. 70
Walling, G. A., Haley, C. S., Perez-Enciso, M., Thompson, R. and Visscher, P. M. 2002. On the mapping of quantitative trait loci at marker and non-marker locations. Genetics Research. 79 (1), pp. 97-106. https://doi.org/10.1017/S0016672301005420
Lovell, D. J., Parker, S. R., Hunter, T., Welham, S. J. and Nichols, A. R. 2004. Position of inoculum in the canopy affects the risk of septoria tritici blotch epidemics in winter wheat. Plant Pathology. 53 (1), pp. 11-21. https://doi.org/10.1046/j.1365-3059.2003.00939.x
Barlow, P. W. and Powers, S. J. 2005. Predicting the environmental thresholds for cambial and secondary vascular tissue development in stems of hybrid aspen. Annals Of Forest Science. 62, pp. 565-573.
Welham, S. J., Cullis, B. R., Gogel, B., Gilmour, A. and Thompson, R. 2004. Prediction in linear mixed models. Australian & New Zealand Journal of Statistics. 46 (3), pp. 325-347. https://doi.org/10.1111/j.1467-842X.2004.00334.x