APPLICATION OF MULTIVARIATE ANALYSIS TO AGRONOMIC TRIAL
APPLICATION OF MULTIVARIATE ANALYSIS TO AGRONOMIC TRIAL
No Thumbnail Available
Date
2008-12
Authors
DANDAURA, ENOCH NEHEMIAH
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Bivariate correlation was carried out on the growth and yield characters of cowpea
(Vigna unguiculata [L] Walp) and pod yield and number of pods were observed to
be positively and significantly correlated with all the components assessed
(Number of Branches, Weight of defoliated leaves, Number of Pods, Length of
Pods, Shoot Dry Weight, Plant Height, Number of Leaves, Leaf Area Plant, and
Crop Growth Rates) except leaf area index and weight of defoliated leaves. The
various parameters exhibited significant interrelationship with one another. Of the
10 growth characters considered in the study, the Principal component analysis
shows the reduction of the dimension of the variates to 3 components and these
three components explain about 95.57% of the variation. All variables considered
shows normality with a linear line indicating that the data observed multivariate
normal distribution.
Description
A THESIS SUBMITTED TO THE POST-GRADUATE SCHOOL
AHMADU BELLO UNIVERSITY, ZARIA
IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE
AWARD OF MASTER OF SCIENCE DEGREE IN STATISTICS
DEPARTMENT OF MATHEMATICS
AHMADU BELLO UNIVERSITY
ZARIA, NIGERIA
DECEMBER, 2008
Keywords
APPLICATION,, MULTIVARIATE,, ANALYSIS,, AGRONOMIC,, TRIAL