Genetic Data Analysis for Breeding (2nd Edition)
We are excited to share the draft chapters of the second edition of our book with you.
The most notable changes include
- Replacing ASReml standalone codes with ASReml-R codes,
- Adding generalized linear mixed models for the analysis of dichotomous and binomial counts,
- Adding genome-wide association studies for QTL discovery (GWAS).
We also replaced some R packages that were not available on CRAN.
You are welcome to download these drafts for your own research purposes. We would greatly appreciate any feedback you can provide on issues you find in the drafts, as it will help us improve them.
Email: fisik@ncsu.edu
Authors: Fikret Isik, James Holland, Christian Maltecca, Felipe Ferrao
Chapter 1- Linear mixed models
Chapter 2 – Introduction to ASReml-R for mixed models
Chapter 3 – Generalized linear mixed models
Chapter 4 – Breeding values
Chapter 5 – Genetic values
Chapter 6 – Multivariate models
Chapter 7 – Spatial analysis of field and greenhouse trials
Chapter 8 – Multi-environment trials and GxE
Chapter 9 – Exploratory marker data analysis and LD
Chapter 10 – Imputation of missing genotypes
Chapter 11 – Genomic BLUP and whole genome regression
Chapter 12 – Bayesian implementation of genomic selection
Chapter 13 – Genome-wide association studies