Smith, A. and Cullis, B. 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.
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Abstract
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, Gogel, 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
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Mixed model; Multiplicative model; Residual maximum likelihood; Spatial analysis; Variety by environment data |
| Author Affiliation: | Wagga Wagga Agricultural Institute |
| Subjects: | Plant Production Crop Improvement |
| Divisions: | General |
| Depositing User: | Ms Ishrath Durafsha |
| Date Deposited: | 25 Jun 2014 05:22 |
| Last Modified: | 25 Jun 2014 05:22 |
| Official URL: | http://dx.doi.org/10.1111/j.0006-341X.2001.01138.x |
| URI: | http://eprints.icrisat.ac.in/id/eprint/13292 |
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