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Statistics – Experimental Design & Data Analysis Using R
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Statistics
Introduction to experiment design
Statistical Sampling Methods.
Experimental Design Models
Z – test & T – Test in R
ANOVA test
Pearson’s correlation (r)
Linear Regression Analysis Using R
Multivariate Analysis
Principal component analysis (PCA) in R studio
Hierarchical Cluster Analysis in R studio
Statistical Errors.
Nonparametric Statistics.
Sign Test
Mann Whitney U Test
Spearman Correlation
Phylogenetics
Connecting the Dots in Evolution: An Introduction to Phylogenetic Analysis :
Applications of the phylogenetic Analysis.
Phylogenetic Analysis data
Distance based approach of phylogenetic analysis
Character based approach of phylogenetic analysis
Summarizing Evolutionary Trees
Descriptive statistics for phylogenetic trees
R for Phylogenetic
Microbiology
Plant Microbiome
Sulfur Cycle
Nitrogen Cycle
Carbon Cycle
QUORUM SENSING
FACTORS AFFECTING BIOLOGICAL
RISK OF MICROORGANISMS
Plant Breeding
Introduction to Plant Breeding
Traits in the Plant Breeding
Evolution favors outcross breeding
Breeding methods for self pollinating plants.
Breeding of cross pollination crops
Breeding of asexual propagated crops
Marker Assisted Selection
Germplasm Conservation.
Seed Certification
Horticulture
Plant Propagation.
Growth control of horticultural crops
Plant Improvement.
Hydroponics
Soil
Container growth plants.
Chemical properties of soil.
Soil water
Soil treatments
Fertilizers
Organic farming
Post harvest Technology
Cultivation of Orchids
Anthurium Cultivation.
Molecular Biology
DNA extraction
RNA Extraction.
Blotting Techniques
Plasmid DNA extraction.
DNA/RNA QUANTIFICATION
Electrophoresis of Nucleic Acids.
Recombinant DNA Technology
Vectors for Gene Cloning
Manipulation of Purified DNA
Plasmid Vectors for plant cells
Environment science
Introduction to Environment science
Evolution
Population
Natural Resources
Ecological Footprint & Biocapacity
Climate Change
Cleaner Production
Environmental Impact Assessments (EIAs)
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