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  Afr. J. Biotechnol.

  Vol. 8 No. 9

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  Apea-Bah FB
  Safo-Kantanka O

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African Journal of Biotechnology Vol. 8 (9), pp. 19431949, 4 May 2009

ISSN 1684-5315  © 2009 Academic Journals  

 

 

Full Length Research Paper

 

Principal components analysis and age at harvest effect on quality of gari from four elite cassava varieties in Ghana

 

Franklin Brian Apea-Bah1*, Ibok Oduro2, William Otto Ellis2 and Osei Safo-Kantanka3

 

1Biotechnology and Nuclear Agriculture Research Institute (BNARI), Ghana Atomic Energy Commission (GAEC), P. O. Box LG 80, Legon, Ghana.

2Biochemistry and Biotechnology Department, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.

3Crop Science Department, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana.

 

*Corresponding author. E-mail: franklinapeabah@yahoo.com. Tel:+233-242048033.

 

Accepted 23 February, 2009

 
   Abstract
 

Four elite cassava varieties in Ghana released under the local names Afisiafi, Tekbankye, Abasafitaa and Gblemoduade were planted in June and harvested the following year at 9, 10, 11, 12, 13, 14 and 15 months after planting, and processed into gari. The effect that age at harvest had on selected physicochemical properties indicative of gari quality was studied in the four varieties. The parameters studied include moisture content, ash, pH, titratable acidity (% lactic acid), crude fibre, swelling capacity and yield. Moisture was between 9.54 - 11.57% while ash was between 0.88 - 1.39%. Titratable acidity was between 0.85 - 1.62% while pH ranged between 3.58 and 4.21. Swelling capacity was slightly below 3 while yield ranged between 12 and 26%. The four principal components identified were dry matter, extent of fermentation, starch content and elemental composition of the gari. Age at harvest significantly affected (p < 0.05) moisture, pH and bulk density of the gari samples. Varietal effect was not significant.

 

Key words: Cassava, gari, age at harvest, variety, physicochemical property, principal components analysis.

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