Abstract
Because yield components do not behave as independent attributes the conclusions derived from simple yield analyses are of limited value in plant breeding programmes. By calculating a function W of the variances and covariances of the yield components, it is possible to estimate, on a scale from 0 to 1, the degree to which the variations in yield components were independent of one another in any given experiment. By this approach examples of almost complete compensation among the components (W = 0), of mutual independence of the components (W = 0.5), and of additivity of the components (W = 1.0) have been discovered in original data and in the literature. Reasons, and possible applications for these findings are discussed. Investigations into the sampling properties of W are reported in an appendix.
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