Journal of Modern Mathematics and Statistics

Year: 2009
Volume: 3
Issue: 3
Page No. 51 - 55

Cluster Analysis of Improved Cassava Varieties Cultivated at Onne, Nigeria by the International Institute of Tropical Agriculture

Authors : Nwabueze Joy Chioma

Abstract: Secondary data on proximate composition of fufu flour taken from 43 Cassava Mosaic Disease (CMD) resistant varieties were used for this research. Agglomerative hierarchical cluster analysis was performed on the squared Euclidean distance matrix. The distance coefficients generated between the 43 CMD resistant varieties ranged from 0.000-89.120. Six distinct groups were identified at 0.97 coefficients. A dendrogram of the data indicated that cases with low distances are close together with a line linking them. It was observed that the line was a short distance from the left of the dendrogram indicating that they were agglomerated in a cluster at a low distance coefficient. This indicated likeness. The implication of this to the farmer and indeed to the nutritionist is that a variety can be selected from each of the six cluster groups for cultivation with the objective of achieving the same nutritional differences in terms of proximate composition without having to examine all the 43 varieties.

How to cite this article:

Nwabueze Joy Chioma , 2009. Cluster Analysis of Improved Cassava Varieties Cultivated at Onne, Nigeria by the International Institute of Tropical Agriculture. Journal of Modern Mathematics and Statistics, 3: 51-55.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved