On the design of early generation variety trials with correlated data (original) (raw)
References
Atiqullah, M., and Cox, D. (1962), “The Use of Control Observations as an Alternative to Incomplete Block Designs,” Biometrika, 49, 464–471. MathSciNet Google Scholar
Butler, D. G., Cullis, B. R., Gilmour, A. R., and Gogel, B. J. (2003), “samm Reference Manual,” Training series, No QE02001, QLD Department of Primary Industries and Fisheries, Brisbane, QLD. Google Scholar
Chan, B. (1999), “The Design of Field Experiments When the Data are Spatially Correlated,” PhD thesis, The University of Qld, Brisbane. Google Scholar
Chauhan, N. (2000), “Efficient and Optimal Designs for Correlated Observations,” PhD thesis, University of Sheffield, U.K. Google Scholar
Cochran, W. G., and Cox, G. M. (1957), Experimental Designs (2nd ed.), New York: Wiley. MATH Google Scholar
Coombes, N. (2002), “The Reactive Tabu Search for Efficient Correlated Experimental Designs.” PhD thesis, Liverpool John Moores University, Liverpool, U.K. Google Scholar
Cullis, B., Lill, W., Fisher, J., and Read, B. (1989), “A New Procedure for the Analysis of Early Generation Variety Trials,” Applied Statistics, 38, 361–375. ArticleMATH Google Scholar
Falconer, D. S. and Mackay, T. (1996), Introduction to Quantitative Genetics (4th ed.), Essex, UK: Longman Scientific and Technical. Google Scholar
Gilmour, A. R., Cullis, B. R., and Verbyla, A. P. (1997), “Accounting for Natural And Extraneous Variation In The Analysis Of Field Experiments,” Journal of Agricultural, Biological, and Environmental Statistics, 2, 269–273. ArticleMathSciNet Google Scholar
— (1990), “Tabu Search—Part II,” ORSA Journal of Computing, 2, 4–32. MATH Google Scholar
Kackar, R., and Harville, D. (1981), “Unbiasedness of Two-Stage Estimation and Predictions for Mixed Linear Models,” Communications in Statistics: Theory and Methods, A10, 1249–1261. ArticleMathSciNet Google Scholar
Kempton, R. A. (1984), “The Design and Analysis of Unreplicated Field Trials,” Vortrage für Pflanzenzuchtung, 7, 219–242. Google Scholar
Kirkpatrick, S., Gelatt, C. D., and Vecchi, M. P. (1983), “Optimization by Simulated Annealing,” Science, 220, 671–680. ArticleMathSciNet Google Scholar
Martin, R. (1996), “Spatial Experimental Design,” in Handbook of Statistics 13: Design and Analysis of Experiments, eds. S. Ghosh and C. R. Rao, Amsterdam: Elsevier Science, pp. 477–514. Google Scholar
Martin, R. J., and Eccleston, J. (1997), “Construction of Optimal and Near-Optimal Designs for Dependent Observations Using Simulated Annealing,” Research report 479/97, Dept. of Probability and Statistics, University of Sheffield.
Patterson, H. D., and Thompson, R. (1971), “Recovery of Interblock Information When Block Sizes are Unequal,” Biometrika, 31, 100–109. MathSciNet Google Scholar
Smith, A. B., Cullis, B. R., and Thompson, R. (2005), “The Analysis of Crop Cultivar Breeding and Evaluation Trials: An Overview of Current Mixed Model Approaches,” Journal of Agricultural Science, 143, 449–462. Article Google Scholar