title: Comparison between factor analysis from a phenotypic and genetic correlation matrix using linear type traits of Holstein dairy cows.
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.
authors: Animal Science Department, Iowa State University, Ames 50011.
authors: M
authors: M
authors: Sieber
authors: A E
authors: AE
authors: Freeman
authors: P N
authors: PN
authors: Hinz
mesh_terms: D000818:Animals; D002417:Cattle / Q000235:genetics*; D005163:Factor Analysis, Statistical; D005260:Female; D010641:Phenotype; D012044:Regression Analysis