Cullis, Brian R.

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

Gilmour, A. R., Cullis, B. R., Verbyla, A. P., & Verbyla, A. P. (1997) · Journal of Agricultural, Biological, and Environmental Statistics

Optimal Experimental Design MethodsAgriculture, Soil, Plant Science

Cited by 752

The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches

SMITH, A. B., CULLIS, B. R., & THOMPSON, R. (2005) · The Journal of Agricultural Science

Genetics and Plant BreedingAgriculture, Soil, Plant Science

Cited by 623

The analysis of designed experiments and longitudinal data by using smoothing splines

Verbyla, A. P., Cullis, B. R., Kenward, M. G., & Welham, S. J. (1999) · Journal of the Royal Statistical Society Series C: Applied Statistics

Statistical Methods and Bayesian InferenceOptimal Experimental Design Methods

Cited by 570

Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend

Smith, A., Cullis, B., & Thompson, R. (2001) · Biometrics

Genetics and Plant BreedingAgriculture, Soil, Plant Science

Cited by 566

Spatial Analysis of Field Experiments-An Extension to Two Dimensions

Cullis, B. R., & Gleeson, A. C. (1991) · Biometrics

Optimal Experimental Design MethodsSpatial and Panel Data Analysis

Cited by 325

The accuracy of varietal selection using factor analytic models for multi-environment plant breeding trials

Kelly, A. M., Smith, A. B., Eccleston, J. A., & Cullis, B. R. (2007) · Crop Science

Genetics and Plant BreedingGenetic and phenotypic traits in livestock

Cited by 185

Factor analytic mixed models for the provision of grower information from national crop variety testing programs

Smith, A. B., Ganesalingam, A., Kuchel, H., & Cullis, B. R. (2015) · Theoretical and Applied Genetics

Genetics and Plant BreedingAgriculture, Soil, Plant Science

Cited by 172

Spatial analysis of multi-environment early generation variety trials

Cullis, B., Gogel, B., Verbyla, A., & Thompson, R. (1998) · Biometrics

Genetics and Plant BreedingGenetic and phenotypic traits in livestock

Cited by 168

Reliability of higher seeding rates of wheat for increased competitiveness with weeds in low rainfall environments

LEMERLE, D., COUSENS, R. D., GILL, G. S., PELTZER, S. J., MOERKERK, M., MURPHY, C. E., COLLINS, D., & CULLIS, B. R. (2004) · The Journal of Agricultural Science

Weed Control and Herbicide ApplicationsAgronomic Practices and Intercropping Systems

Cited by 127

Analysis of yield and oil from a series of canola breeding trials. Part II. Exploring variety by environment interaction using factor analysisThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.

Cullis, B. R., Smith, A. B., Beeck, C. P., & Cowling, W. A. (2010) · Genome

Genetics and Plant BreedingGenetic and phenotypic traits in livestock

Cited by 123

A comparison of analysis methods for late-stage variety evaluation trials

Welham, S. J., Gogel, B. J., Smith, A. B., Thompson, R., & Cullis, B. R. (2010) · Australian & New Zealand Journal of Statistics

Genetics and Plant BreedingGenetic and phenotypic traits in livestock

Cited by 98

Enhanced diagnostics for the spatial analysis of field trials

Stefanova, K. T., Smith, A. B., & Cullis, B. R. (2009) · Journal of Agricultural, Biological, and Environmental Statistics

Spatial and Panel Data AnalysisAgriculture, Soil, Plant Science

Cited by 88

Analysis of yield and oil from a series of canola breeding trials. Part I. Fitting factor analytic mixed models with pedigree informationThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.

Beeck, C. P., Cowling, W. A., Smith, A. B., & Cullis, B. R. (2010) · Genome

Genetics and Plant BreedingGenetic and phenotypic traits in livestock

Cited by 66

Comparison of a one-and two-stage mixed model analysis of Australia’s National Variety Trial Southern Region wheat data

Gogel, B., Smith, A., & Cullis, B. (2018) · Euphytica

Genetics and Plant BreedingAgriculture, Soil, Plant Science

Cited by 57

Genomic selection in multi‐environment plant breeding trials using a factor analytic linear mixed model

Tolhurst, D. J., Mathews, K. L., Smith, A. B., & Cullis, B. R. (2019) · Journal of Animal Breeding and Genetics

Genetic and phenotypic traits in livestockGenetics and Plant Breeding

Cited by 48

Estimation of Factor Analytic Mixed Models for the Analysis of Multi-treatment Multi-environment Trial Data

Smith, A. B., Borg, L. M., Gogel, B. J., & Cullis, B. R. (2019) · Journal of Agricultural, Biological and Environmental Statistics

Genetics and Plant BreedingGenetic and phenotypic traits in livestock

Cited by 19