E. R. Williams & C. E. Harwood 
Experimental Design and Analysis for Tree Improvement [PDF ebook] 

Acknowledgments
Preface to the third edition
Chapter 1: Introduction
1.1 Overview
1.2 Outline
1.3 Software
1.4 Summary
Chapter 2: Experimental planning and layout
2.1 Introduction
2.2 Experimental objectives
2.3 Sampling strategies
2.4 Allocation of resources
2.5 Strata
2.6 Analysis of variance
Chapter 3: Data collection and pre-processing
3.1 Introduction
3.2 Pre-processing using Genstat
3.3 Pre-processing using Excel
Chapter 4: Experimental design
4.1 Introduction
4.2 Simple designs
4.3 Factorial designs
4.4 Split-plot designs
Chapter 5: Analysis across sites
5.1 Introduction
5.2 Complete two-way tables
5.3 Incomplete two-way tables
5.4 Joint regression analysis with complete two-way tables
5.5 Joint regression analysis with incomplete two-way tables
Chapter 6: Variance components and genetics concepts
6.1 Introduction
6.2 Variance components
6.3 Genetics concepts
6.4 Heritability
6.5 Heritability from provenance/progeny trials
6.6 Genetic correlation
6.7 Selecting superior treatments – BLUEs versus BLUPs
Chapter 7: Incomplete block designs
7.1 Introduction
7.2 Need for incomplete block designs
7.3 Choice of incomplete block designs
7.4 Generalised lattice designs and alpha designs
7.5 Extra blocking structures
7.6 Spatial enhancements
7.7 Partially replicated designs
7.8 Using Cyc Desig N
Chapter 8: Analysis of generalised lattice designs
8.1 Introduction
8.2 Fixed-effects model
8.3 Mixed-effects model
8.4 Nested treatment structure
8.5 Treatments as random effects
8.6 Summary of analysis options
Appendix A: Introduction to Genstat
Glossary
References
Index

Dr Colin Matheson is an internationally recognised forest geneticist with many decades of experience in research, data analysis and implementation of results into novel tree breeding and improvement programs for many species.