This project involved two locations (Breda and Tel Hadya) over two seasons (1993
and 1994).
Yield was found to have been affected by many factors including environment,
genotype and morphological characters. A genotype-environment interaction (GEl)
was also discovered.
To investigate the influence of morphological characters on yield parameters,
multivariate statistical techniques (canonical analysis, factor analysis and multiple
regression analysis (linear and exponential)) were used. Multivariate statistical
techniques were applied to three hybrids (Hybrid 1, 2 and 3) in replicated field plots
at two locations (Breda and Tel Hadya) in two seasons.
Canonical analysis and factor analysis revealed a significant relationship between
yield parameters and morphological characters. However, this relationship was not
significant for each hybrid because there were insufficient data for each hybrid.
Stepwise multiple regression analysis showed that plant height, vegetative duration
and length of growing season were the significant factors influencing yield
parameters, while leafiness was not. The relationship can approximate nonlinear in
that it gives more realistic predictions. Consequently, stepwise multiple exponential
equation fitted the data better than stepwise multiple linear equation.
The relationship between yield parameters and morphological characters was
affected by environment but not by genotype.
Date of Award | 2007 |
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Original language | English |
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Awarding Institution | |
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An evaluation of multivariate statistical techniques for the analysis of yield from barley (Hordeum vulgare L.) breeding trials data
ABDULLAH, A. (Author). 2007
Student thesis: PhD