Assessment of genetic (via protein electrophoresis) and nutritional variabilities among ten accessions of sphenostylis stenocarpa (hocht. ex. a. rich) harms
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of Study
- 1.3Problem Statement
- 1.4Objective of Study
- 1.5Limitation of Study
- 1.6Scope of Study
- 1.7Significance of Study
- 1.8Structure of the Research
- 1.9Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Overview of Protein Electrophoresis
- 2.2Genetic Variability in Plant Species
- 2.3Nutritional Variability in Plants
- 2.4Importance of Sphenostylis Stenocarpa
- 2.5Previous Studies on Sphenostylis Stenocarpa
- 2.6Methods of Assessing Genetic Variabilities
- 2.7Methods of Assessing Nutritional Variabilities
- 2.8Impact of Environmental Factors on Variability
- 2.9Comparison of Different Accessions
- 2.10Future Research Directions
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design
- 3.2Sampling Techniques
- 3.3Data Collection Methods
- 3.4Data Analysis Procedures
- 3.5Experimental Setup
- 3.6Statistical Tools Used
- 3.7Ethical Considerations
- 3.8Validation of Results
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- 4.1Analysis of Genetic Variabilities
- 4.2Analysis of Nutritional Variabilities
- 4.3Comparison among Accessions
- 4.4Correlation between Genetic and Nutritional Data
- 4.5Impact of Environmental Factors
- 4.6Discussion on Outliers
- 4.7Interpretation of Findings
- 4.8Implications for Agriculture
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusion
- 5.3Recommendations for Future Research
- 5.4Contributions to the Field
- 5.5Practical Applications
Thesis Abstract
The genetic variability among ten (10) accessions of Sphenostylis stenocarpa from three states and National Centre for Genetic Resources and Biotechnology Moor Plantation, Ibadan, Nigeria were assessed using sodium dodecyl polyacrylamide gel electrophoresis (SDS – PAGE). There were variations in the banding patterns of the accessions and polymorphism was also observed. Twelve polypeptide bands were obtained ranging from 9KDA to 219KDa. The Unweighted Pair Group Method with Mean Algorithm (UPGMA) dendrogram grouped the ten accessions into two clusters and six groups. Some accessions appeared in the same group, while others were observed to be in different groups. The proximate and nutritional analysis also detected variations. A strong and positive correlation was observed among some of the attributes studied. The principal component analysis also showed some variation among the accessions. The highest variability was observed in the ash content which shows that ash content could be a major indicator for nutritional variability in these 10 accessions followed by the Vitamin B2 in the second component.
Thesis Overview
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