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Canonical discriminant analysis applied to broiler chicken performance

Published online by Cambridge University Press:  01 March 2008

M. F. Rosário ,
M. A. N. Silva ,
A. A. D. Coelho ,
V. J. M. Savino  and
C. T. S. Dias
M. F. Rosário*
Affiliation:
Department of Genetics, ‘Luiz de Queiroz’ College of Agriculture, University of São Paulo, Av. Pádua Dias, 11, PO Box 83, 13400-970, Piracicaba, São Paulo, Brazil
M. A. N. Silva
Affiliation:
Department of Genetics, ‘Luiz de Queiroz’ College of Agriculture, University of São Paulo, Av. Pádua Dias, 11, PO Box 83, 13400-970, Piracicaba, São Paulo, Brazil
A. A. D. Coelho
Affiliation:
Department of Genetics, ‘Luiz de Queiroz’ College of Agriculture, University of São Paulo, Av. Pádua Dias, 11, PO Box 83, 13400-970, Piracicaba, São Paulo, Brazil
V. J. M. Savino
Affiliation:
Department of Genetics, ‘Luiz de Queiroz’ College of Agriculture, University of São Paulo, Av. Pádua Dias, 11, PO Box 83, 13400-970, Piracicaba, São Paulo, Brazil
C. T. S. Dias
Affiliation:
Department of Exact Sciences, ‘Luiz de Queiroz’ College of Agriculture, University of São Paulo, 13400-970, Piracicaba, São Paulo, Brazil
*
E-mail: millorfernandes@gmail.com
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Abstract

The mechanisms involved in the control of growth in chickens are too complex to be explained only under univariate analysis because all related traits are biologically correlated. Therefore, we evaluated broiler chicken performance under a multivariate approach, using the canonical discriminant analysis. A total of 1920 chicks from eight treatments, defined as the combination of four broiler chicken strains (Arbor Acres, AgRoss 308, Cobb 500 and RX) from both sexes, were housed in 48 pens. Average feed intake, average live weight, feed conversion and carcass, breast and leg weights were obtained for days 1 to 42. Canonical discriminant analysis was implemented by SAS® CANDISC procedure and differences between treatments were obtained by the F-test (P < 0.05) over the squared Mahalanobis’ distances. Multivariate performance from all treatments could be easily visualised because one graph was obtained from two first canonical variables, which explained 96.49% of total variation, using a SAS® CONELIP macro. A clear distinction between sexes was found, where males were better than females. Also between strains, Arbor Acres, AgRoss 308 and Cobb 500 (commercial) were better than RX (experimental). Evaluation of broiler chicken performance was facilitated by the fact that the six original traits were reduced to only two canonical variables. Average live weight and carcass weight (first canonical variable) were the most important traits to discriminate treatments. The contrast between average feed intake and average live weight plus feed conversion (second canonical variable) were used to classify them. We suggest analysing performance data sets using canonical discriminant analysis.

Keywords

animal breedingCANDISC procedureMANOVApoultry industry
Type
Full Paper
Information
animal , Volume 2 , Issue 3 , March 2008 , pp. 419 - 424
Copyright
Copyright © The Animal Consortium 2008

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