African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6860

Full Length Research Paper

Determination of relationship between nutrient and milk yield components of German fawn × hair crossbred by canonical correlation analysis

Zeki DOÄžAN1, Hikmet ORHAN2*, Levent KAYA3, Ä°rfan ÖZTÜRK4 and Sabri YURTSEVEN5
  1Department of Animal Science, Faculty of Agriculture, Harran University, Åžanliurfa, Turkey. 2Department of Animal Science, Faculty of Agriculture, Süleyman Demirel University, Isparta, Turkey. 3Faculty of Economic and Administrative Sciences, Harran University, Åžanliurfa, Turkey. 4Sanliurfa Vocational School, Harran University, Åžanlıurfa, Turkey. 5Ceylanpinar Vocational School, Harran University, Åžanliurfa, Turkey.
Email: [email protected] or [email protected].

  •  Accepted: 03 September 2011
  •  Published: 29 February 2012

Abstract

 

Canonical correlations among nutrient intake (energy, protein, Acid Detergent Fiber (ADF), Neutral Detergent Fiber (NDF) and dry matter intake (DMI)) and body weight, milk yield (MY) and milk component in 36 German Fawn x Hair Crossbred goats under different feeding systems were estimated. Canonical correlation coefficient between the first (0.91) pair of canonical variables was significant (P<0.01). There was an important relationship between milk yield and nutrient based on Pearson correlation. The highest contribution for the explanatory capacity of X variable sets was DMI and MY. DMI (most impressing) and MY (most responded) during the last lactation period appear to be a determining factor for estimating performance of German Fawn x Hair Crossbred goats.

 

Key words: Multivariate statistics, canonical correlation, multi dimension correlation, energy protein source.

 

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This article is published under the terms of the Creative Commons Attribution License 4.0

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