African Journal of
Plant Science

  • Abbreviation: Afr. J. Plant Sci.
  • Language: English
  • ISSN: 1996-0824
  • DOI: 10.5897/AJPS
  • Start Year: 2007
  • Published Articles: 683

Full Length Research Paper

Allometric prediction models of growth variables of Daniella oliveri in the Nigerian Guinea Savanna

Toma Buba
School of Science, Abubakar Tafawa Balewa University, P. M. B 0248, Bauchi, Nigeria
Email: [email protected]

  •  Accepted: 24 April 2013
  •  Published: 30 June 2013

Abstract

Trees show considerable variation and flexibility in their size of crowns, height, stem diameters, crown height and crown length. Stem diameter at breast height is an important tree characteristics and an accurate prediction of tree growth dimensions. Relationships between stem diameter and crown length with other variables of Daniella oliveri was studied. The result reveal positive correlations between stem diameter, tree height, crown height and crown length which were all significant at F0.05 (1), 8. The corresponding F-values from analyses of variance were also significant (P=0.05) except for stem diameter with crown ratio, which show no relationship. The values of Pearson correlation coefficients (r) between the stem diameter, tree height, crown height and crown length were 0.693, 0.693 and 0.733 respectively. The coefficients of determination (r2) were 0.480, 0.617 and 0.537 also respectively. Taking the crown length as a predictor variable, there were also positive correlations with tree height and crown height. Here the r-values were 0.679 and 0.698 respectively and the r2-values were 0.461 and 0.487 also respectively. These means that stronger correlations were found with tree height and crown height when the stem diameter was taken as predictor variable than crown length.

 

Key words: Toma Buba, Bauchi, stem diameter, tree height, correlation, regression,Daniella oliveri, clinometers, minitab.

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