Model-based mean adjustment in quantitative germplasm evaluation data

Abstract

Evaluation data from germplasm collections obtained across many years is often very unbalanced and sparse. For making efficient use of these data, it is desirable to compute summary statistics such as means. The simple arithmetic mean is not a useful measure, because due to the unbalancedness it may yield biased and thus misleading information. Some form of… (More)
DOI: 10.1023/A:1023503900759

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