Burley, J., Barnes, R., Gibson, G., Garcia de Leon, J.P.
To the tree breeder the many statistical definitions of genotype-environment interactions (gei) can be reduced to the one practical implication that the optimum population or individual on one site is not necessarily the best for others. Various univariate and multivariate techniques are available for detecting and evaluating gei; four methods (Plaisted’s, Wricke’s, joint regression, principal components) were compared with a limited set of data for maximum wood density of<i> Pinus caibaea </i> MORELET and found to provide similar conclusions about the sources of gei but joint regression analysis has the potential for predicting genotypic performance on untested sites.
Barnes, R.; Burley, J.; Gibson, G.; Garcia de Leon, J.P. Genotype-environment interaction in tropical pines and their effects on the structure of breeding populations. Silvae Genetica (1984) 33: 186-198.