Linear variance models for plant breeding trials

H. P. Piepho; E. R. Williams

doi:10.1111/j.1439-0523.2009.01654.x

Linear variance models for plant breeding trials

H. P. Piepho^*, E. R. Williams

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

51 Citations (Scopus)

Abstract

Most plant breeding trials involve a layout of plots in rows and columns. Resolvable row-column designs have proven effective in obtaining efficient estimates of treatment effects. Further improvement may be possible by postblocking or by inclusion of spatial model components. This study reviews options for augmenting a baseline row-column model by the addition of spatial components. The models considered are different variants of the linear variance model in one and two dimensions. Usefulness of these options is assessed by analysing a number of field trials from plant breeding and variety testing.

Original language	English
Pages (from-to)	1-8
Number of pages	8
Journal	Plant Breeding
Volume	129
Issue number	1
DOIs	https://doi.org/10.1111/j.1439-0523.2009.01654.x
Publication status	Published - Feb 2010

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10.1111/j.1439-0523.2009.01654.x

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AB - Most plant breeding trials involve a layout of plots in rows and columns. Resolvable row-column designs have proven effective in obtaining efficient estimates of treatment effects. Further improvement may be possible by postblocking or by inclusion of spatial model components. This study reviews options for augmenting a baseline row-column model by the addition of spatial components. The models considered are different variants of the linear variance model in one and two dimensions. Usefulness of these options is assessed by analysing a number of field trials from plant breeding and variety testing.

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KW - Linear variance

KW - Residual maximum likelihood

KW - Resolvable row-Column designs

KW - Separability

KW - Spatial analysis

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Linear variance models for plant breeding trials

Abstract

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