Hostname: page-component-7b7567c8c-wxvwp Total loading time: 0 Render date: 2026-11-15T09:39:11.119Z Has data issue: false hasContentIssue false
  • English
  • Français

Modified joint regression analysis for incomplete variety × environment data

Published online by Cambridge University Press:  27 March 2009

P. G. N. Digby
P. G. N. Digby
Affiliation:
Agricultural Research Council Unit of Statistics, University of Edinburgh
Get accessRights & Permissions [Opens in a new window]

Summary

This paper presents an iterative analysis of incomplete variety × environment tables. The analysis estimates potential differences in the sensitivity of varieties to environment effect. It is noted that the technique allows unequal weighting of data, and the special case of a complete table is discussed.

Information

Type
Research Article
Information
The Journal of Agricultural Science , Volume 93 , Issue 1 , August 1979, pp. 81 - 86
Copyright
Copyright © Cambridge University Press 1979

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Eberhart, S. A. & Russell, W. A. (1966). Stability parameters for comparing varieties. Crop Science 6, 36–40.CrossRefGoogle Scholar
Finlay, K. W. & Wilkinson, G. N. (1963). The analysis of adaptation in a plant-breeding programme. Australian Journal of Agricultural Research 14, 742–754.CrossRefGoogle Scholar
Freeman, G. H. (1975). Analysis of interactions in incomplete two-way tables. Applied Statistics 24, 46–55.CrossRefGoogle Scholar
Gabriel, K. R. & Zamir, S. (1978). Lower rank approximation of matrices by least-squares with any choice of weights. In Compstat 1978, Proceedings in Computational Statistics (ed. Corsten, L. C. A. and Hermans, J.), pp. 304–310. Vienna: Physica-Verlag.Google Scholar
Mandel, J. (1971). A new analysis of variance model for non-additive data. Technometrics 13, 1–18.CrossRefGoogle Scholar
Patterson, H. D. (1978). Routine least-squares estimation of variety means in incomplete tables. Journal of the National Institute of Agricultural Botany 14, 401–412.Google Scholar
Silvey, V. (1978). Methods of analysing NIAB variety trial data over many sites and several seasons. Journal of the National Institute of Agricultural Botany 14, 385–400.Google Scholar
Yates, F. & Cochran, W. G. (1938). The analysis of groups of experiments. Journal of Agricultural Science, Cambridge 28, 556–580.CrossRefGoogle Scholar