2008
DOI: 10.1017/s1751731107001012
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Canonical discriminant analysis applied to broiler chicken performance

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,… Show more

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Cited by 24 publications
(20 citation statements)
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“…Accordingly, Berzaghi et al (2005) used the discriminant analysis to discriminate breast meat from different feeding sources based on the fatty acid composition. Several authors also used discriminant analysis to evaluate broiler chicken performance (Rosário et al, 2008); to discriminate between chicken, turkey, pork, beef and lamb (Arnalds et al, 2004); to classify poultry carcasses (Park et al, 2002).…”
Section: Meat Physical and Chemical Characteristicsmentioning
confidence: 99%
“…Accordingly, Berzaghi et al (2005) used the discriminant analysis to discriminate breast meat from different feeding sources based on the fatty acid composition. Several authors also used discriminant analysis to evaluate broiler chicken performance (Rosário et al, 2008); to discriminate between chicken, turkey, pork, beef and lamb (Arnalds et al, 2004); to classify poultry carcasses (Park et al, 2002).…”
Section: Meat Physical and Chemical Characteristicsmentioning
confidence: 99%
“…Concerning the effects of breed on the five examined performance traits, MANOVA showed the same results as that of univariate analysis [ 23 ]. The tests of equality of group means, calculated by canonical DA were also not significant (p>0.05), suggesting that the five variables could not serve for the discrimination between Ross and Hubbard broilers.…”
Section: Discussionmentioning
confidence: 94%
“…Correlation analysis is liable to measure the level of association between two traits which must be understood in any breeding programme. Biological characters are naturally correlated as a result of pleiotropy and linkage [21,22]. Result obtained revealed a significant positive relationship between β-carotene and ash, fibre, Ca, flavonoids, alkaloid.…”
Section: Resultsmentioning
confidence: 99%