A COMPARISON OF ANALYSIS METHODS FOR LATE-STAGE VARIETY EVALUATION TRIALS

DOI10.1111/j.1467-842X.2010.00570.xzbMath1337.62340OpenAlexW2110798812MaRDI QIDQ2810417

Robin Thompson, Alison B. Smith, Brian R. Cullis, Beverley J. Gogel, Sue J. Welham

Publication date: 1 June 2016

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-842x.2010.00570.x

zbMATH Keywords

heritabilitymixed modelsbest linear unbiased predictorresidual maximum likelihoodvariety evaluation trials

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Ridge regression; shrinkage estimators (Lasso) (62J07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12)

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Uses Software

• R

Cites Work

• Analyzing Variety by Environment Data Using Multiplicative Mixed Models and Adjustments for Spatial Field Trend
• Analyzing Genotype-Environment Data by Mixed Models with Multiplicative Terms
• Applications: The Analysis of Crop Variety Evaluation Data in Australia
• Spatial Analysis of Multi-Environment Early Generation Variety Trials
• Recovery of inter-block information when block sizes are unequal
• The interpretation of negative components of variance