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Comparison between factor analysis from a phenotypic and genetic correlation matrix using linear type traits of Holstein dairy cows.

M Sieber·A E Freeman·P N Hinz
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Abstract

Data on 18 linear type scores and production data for 43,428 records by 228 sires were used to compare two different factor-analyses procedures. Using a genetic correlation matrix to obtain a genetic factor matrix showed that the number of derived factors could be reduced to seven genetic factors vs. eight phenotypic factors. Genetic factors provided a good summary of the data and accounted for 79.3% of the total variation vs. 69.1% expressed by eight phenotypic factors. A comparison between the use of a genetic and phenotypic multiple regression analysis showed some difference for the basic rank of factor influence on production and herdlife.

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AnimalsCattleFactor Analysis, StatisticalFemalePhenotypeRegression AnalysisComparative StudyJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, Non-P.H.S.

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M Sieber, A E Freeman, P N Hinz. 1988. Comparison between factor analysis from a phenotypic and genetic correlation matrix using linear type traits of Holstein dairy cows.. https://doi.org/10.3168/jds.s0022-0302(88)79577-6

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