Selected RRIM2000 series rubber seed clones identification through physical properties using statistical analysis

Kasirun, Mohd Aminudin (2013) Selected RRIM2000 series rubber seed clones identification through physical properties using statistical analysis. [Student Project] (Unpublished)

Abstract

The main objective of this research work is to recognize selected rubber seed series clones using physical properties based on mass, volume and density. There are five types of clones from the species of Hevea brasiliensis rubber seed have been used as samples in this project which are RRIM2007, RRIM2009, RRIM2012, RRIM2016 and RRIM2025. A weighing scale and graduated cylinder were used in order to differentiate the physical properties of each sample. The weighing scale is used to determine the mass of samples, while the water displacement technique is used to determine the volume of the sample. The density of each sample is recognized based on a formula calculation of the mass and volume rubber seeds. Another 150 samples are used for testing and the analysis is done using SPSS software to identify the clones correctly. From the observed one-way ANOVA and error plot measurement, three clone series are shown significantly different from each other in mass and volume classification but for density it is hardly differentiated the clones as the clone does not show a clear difference between each other. As a conclusion, RRIM2007, RRIM2012, RRIM2025 can be used in order to recognize mass and volume between clones while it is not recommend to recognized sample clones using density properties.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Kasirun, Mohd Aminudin
2009969931
Subjects: Q Science > QH Natural history - Biology > Biology > Biometry. Biomathematics. Mathematical models
Q Science > QK Botany > Plant physiology
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor of Electrical Engineering (Hons)
Keywords: Mass, Volume, Density, Rubber seed clones, ANOVA, SPSS
Date: 2013
URI: https://ir.uitm.edu.my/id/eprint/122691
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