Multiple Regression and Principal Components Analysis of Puberty and Growth in Cattle
- 1 January 1988
- journal article
- research article
- Published by Oxford University Press (OUP) in Journal of Animal Science
- Vol. 66 (9) , 2147-2158
- https://doi.org/10.2527/jas1988.6692147x
Abstract
Multiple regression and principal components analyses were employed to examine relationships among pubertal and growth characters. Records used were from 424 bulls and 475 heifers produced by a diallel mating of Angus, Brahman, Hereford, Holstein and Jersey breeds. Characters studied were age, weight and height at puberty and measurements of weight and hip height from 9 to 21 mo of age; pelvic measurements of heifers also were included. Measurements of weight and height near 1 yr of age were related most highly to pubertal age, weight and height. Larger size near 1 yr of age was associated with younger, larger animals at puberty. Growth rate was associated with pubertal characters before, but not after, adjustment for effects of breed-type. Principal components of the variation of pubertal and growth characters among animals were strongly related to both weight and height. The majority of the variation among breed-types was due to height. Characteristic vectors of principal components describing the variation of bulls and heifers were strikingly similar. The variance-covariance structure of pubertal characters was essentially the same for both sexes even though the mean values of the characters differed. Copyright © 1988. American Society of Animal Science . Copyright 1988 by American Society of Animal Science.This publication has 6 references indexed in Scilit:
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