A - Papers appearing in refereed journals
Smith, A., Cullis, B. R. and Thompson, R. 2001. Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend. Biometrics. 57 (4), pp. 1138-1147.
|Authors||Smith, A., Cullis, B. R. and Thompson, R.|
The recommendation of new plant varieties for commercial use requires reliable and accurate predictions of the average yield of each variety across a range of target environments and knowledge of important interactions with the environment. This information is obtained from series of plant variety trials, also known as multi-environment trials (MET). Cullis, Cogel, Verbyla, and Thompson (1998) presented a spatial mixed model approach for the analysis of MET data. In this paper we extend the analysis to include multiplicative models for the variety effects in each environment. The multiplicative model corresponds to that used in the multivariate technique of factor analysis. It allows a separate genetic variance for each environment and provides a parsimonious and interpretable model for the genetic covariances between environments. The model can be regarded as a random effects analogue of AMMI (additive main effects and multiplicative interactions). We illustrate the method using a large set of MET data from a South Australian barley breeding program.
|Keywords||Biology; Mathematical & Computational Biology; Statistics & Probability|
|Year of Publication||2001|
|Journal citation||57 (4), pp. 1138-1147|
|Digital Object Identifier (DOI)||doi:10.1111/j.0006-341X.2001.01138.x|
|Open access||Published as non-open access|
|Funder project or code||445|
|Research in statistics relevant to biological processes|
|01 Dec 2001|
|Publication process dates|
|Accepted||01 Jun 2001|
|Copyright license||Publisher copyright|
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