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A multi variate analysis of hybridization when covariance matrices are unequal

A multi variate analysis of hybridization when covariance matrices are unequal

Biometrical Journal 21(8): 763-766

Numerous occurrences of natural hybridization are known in many groups of animals. It has a bearing on growth, nomenclature, speciation, genetics and wildlife management. Demonstration of intermediacy based on several characters makes the identification of hybrids more certain than that based on a single character only. Differences among the hybrids and the parental populations should be analyzed for variations due to the additive genetic (A) and the non-additive genetic (NA) factors separately. Sometimes, the assumption that covariance matrices of the hybrids and the parental populations are equal may not be valid. A multivariate method of testing hypotheses analyzing differences between the hybrids and the parents, qualified by the A and the NA factors, when covariance matrices are not equal is submitted.

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