Genetic Variability and Association analysis in R

Variability is one of the most common research problem for students of Genetics and Plant breeding. The video deals with three aspects of Variability analysis in R
1) Genetic parameters:
Genotypic and Phenotypic Variance, Heritability, Genetic Advance and Genetic Advance as percentage of Mean
2) Genotypic and Phenotypic Correlation
3) Path analysis

Time Stamps:
0:00 Introduction
1:24 Description of dataset and import in R
3:34 Installation of variability package
4:48 Calculation of Genetic parameters like Heritability, GA, GA as % of mean
11:20 Genotypic and Phenotypic correlation
16:21 ANCOVA and calculation of Genotypic & Phenotypic Covariance
17:30 Path Analysis

Link for blog

Part I: Genetic parameters
  / variability-analysis-in-r-i-genetic-parame...  
Part II: Genotypic & Phenotypic correlation
https://agriculturalstatistic.blogspo...
Part III: Path Analysis
https://agriculturalstatistic.blogspo...


Dataset link
https://drive.google.com/file/d/1sda2...


Link for formulas
https://drive.google.com/file/d/1SCyn...

If you are using the variability R package in research work you can cite it as:

Raj Popat, Rumit Patel and Dinesh Parmar (2020). variability: Genetic Variability Analysis for Plant Breeding Research. R package version 0.1.0.https://CRAN.R-project.org/package=va...

Suggestions comments and Quires are welcomed


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