Applications: The Analysis of Crop Variety Evaluation Data in Australia

By Alison B. Smith, Brian R. Cullis, A. R. Gilmour. 2001

224 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/77597c6869fa79f80c0d60a4ab4d38c74f0cfd72

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In Genetics

In Plant Science

Citations in the corpus

ASREML user guide release 1.0 (2002, methodology): “See Smith et al. (2001) and Thompson et al. (2003) for examples of factor analytic models in multi-environment trials.”
Prediction in linear mixed models (2004, methodology): “Each trial is analysed separately and the estimated yield for each variety is saved with a measure of precision for subsequent across-trial analysis (see Smith et al., 2001a for further details).”
BLUP for phenotypic selection in plant breeding and variety testing (2008, methodology): “The A matrix and similar matrices for other terms may be used to model genotype-by-environment effects (Smith et al. 2001a).”
Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates (2020, background): “…of the residual variance of the * DF: Distrito Federal; GO: Goiás; MG: Minas Gerais; MT: Mato Grosso; RJ: Rio de Janeiro; RS: Rio Grande do Sul; RO: Rondônia; SP: São Paulo; ˟ Phenotypic average of each evaluated location. adjusted means of genotypes in each environment (Smith et al., 2001a).”
Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, unknown): “3”
A Sparse Implementation of the Average Information Algorithm for Factor Analytic and Reduced Rank Variance Models (2003, background): “To improve the response to selection in late stage testing in Australian plant improvement programs Smith & Cullis (2001) recommended that a combined analysis of data from several years of testing be performed to improve the accuracy of decisions regarding the retention of elite genotypes for…”
The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches (2005, methodology): “These authors differ in that Smith et al. (2001b) assume random variety and fixed environment effects, whereas Piepho (1997) assumes the converse.”