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A New Procedure for the Analysis of Early Generation Variety Trials

Author

Listed:
  • Brian R. Cullis
  • Warwick J. Lill
  • John A. Fisher
  • Barbara J. Read
  • Alan C. Gleeson

Abstract

A method for the analysis of early generation variety trials is described. The method is an extension of the analysis proposed by Gleeson and Cullis for replicated trials and uses the residual maximum likelihood estimation method of Patterson and Thompson. Best linear unbiased predictors of test line effects are derived. A small simulation experiment is conducted to assess the reliability of the method. A wheat trial with a weed density covariate and missing values is analysed to illustrate the method.

Suggested Citation

  • Brian R. Cullis & Warwick J. Lill & John A. Fisher & Barbara J. Read & Alan C. Gleeson, 1989. "A New Procedure for the Analysis of Early Generation Variety Trials," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 38(2), pages 361-375, June.
  • Handle: RePEc:bla:jorssc:v:38:y:1989:i:2:p:361-375
    DOI: 10.2307/2348066
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    Cited by:

    1. Rodomiro Ortiz & Fredrik Reslow & Ramesh Vetukuri & M. Rosario García-Gil & Paulino Pérez-Rodríguez & José Crossa, 2024. "Genomic Prediction for Inbred and Hybrid Polysomic Tetraploid Potato Offspring," Agriculture, MDPI, vol. 14(3), pages 1-12, March.
    2. Donald, Margaret & Alston, Clair L. & Young, Rick R. & Mengersen, Kerrie L., 2011. "A Bayesian analysis of an agricultural field trial with three spatial dimensions," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3320-3332, December.

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