Experimental Design and Analysis for Tree Improvement

✍ Scribed by Emlyn R. Williams, Chris E. Harwood, A. Colin Matheson

• Publisher: CABI
• Year: 2024
• Tongue: English
• Leaves: 191
• Edition: 3
• Category: Library

✦ Synopsis

Experimental Design and Analysis for Tree Improvement provides a set of practical procedures to follow when planning, designing and analyzing tree improvement trials. Using examples, it outlines how to:

- design field, glasshouse and laboratory trials

- efficiently collect and construct electronic data files

- pre-process data, screening for data quality and outliers

- analyze data from single and across-site trials

- interpret the results from statistical analyses.

The authors address the many practical issues often faced in forest tree improvement trials and describe techniques that will give meaningful results. The techniques provided are applicable to the improvement of not only trees, but to crops in general.

This fully revised third edition includes the construction of p-rep and spatial designs using the commercially available software package for design generation (CycDesigN). For analysis of the examples, it provides online Genstat and SAS programs and a link to R programs.

✦ Table of Contents

Cover
Title Page
Copyright
Contents
Acknowledgments
Preface to the third edition
1: Introduction
1.1: Overview
1.2: Outline
1.3: Software
1.4: Summary
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
3: Data collection and pre-processing
3.1: Introduction
3.2: Pre-processing using Genstat
3.3: Pre-processing using Excel
4: Experimental design
4.1: Introduction
4.2: Simple designs
4.3: Factorial designs
4.4: Split-plot designs
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
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
7: Incomplete block designs
7.1: Introduction
7.2: Need for incomplete block designs
7.3: Choice of incomplete block design
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 CycDesigN
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