Literature DB >> 3170369

Multiple regression and principal components analysis of puberty and growth in cattle.

J F Baker1, T S Stewart, C R Long, T C Cartwright.   

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 adn 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.

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Year:  1988        PMID: 3170369     DOI: 10.2527/jas1988.6692147x

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  2 in total

1.  Biometric variability of goat populations revealed by means of principal component analysis.

Authors:  Luanna Chácara Pires; Théa M Medeiros Machado; Adriana Mello Araújo; Timothy A Olson; João Batista Lopes da Silva; Robledo Almeida Torres; Márcio da Silva Costa
Journal:  Genet Mol Biol       Date:  2012-11-09       Impact factor: 1.771

2.  Genetic parameters and relationships between growth traits and scrotal circumference measured at different ages in Nellore cattle.

Authors:  Arione Augusti Boligon; Fernando Baldi; Lucia Galvão de Albuquerque
Journal:  Genet Mol Biol       Date:  2011-04-01       Impact factor: 1.771

  2 in total

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