Experimental Design and Analysis for Tree Improvement

E. R. Williams, C. E. Harwood, A. C. Matheson (Autoren)

Buch | Softcover

192 Seiten

2024 | Third Edition
CSIRO Publishing (Verlag)
978-1-4863-1710-3 (ISBN)

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Practical procedures for planning, designing and analysing tree improvement trials.

Experimental Design and Analysis for Tree Improvement provides a set of practical procedures to follow when planning, designing and analysing 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
analyse 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.

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. Dr Chris Harwood is internationally recognised for his work on the evaluation of forest genetic resources and the development of tree breeding programs for plantation forestry with a focus on the tropics. Dr Emlyn Williams, a statistician with over 40 years' research experience, is at the forefront of statistical research into the construction and analysis of efficient experimental designs.

Acknowledgments

Preface to the third edition

Chapter 1: Introduction

1.1Overview

1.2Outline

1.3Software

1.4Summary

Chapter 2: Experimental planning and layout

2.1Introduction

2.2Experimental objectives

2.3Sampling strategies

2.4Allocation of resources

2.5Strata

2.6Analysis of variance

Chapter 3: Data collection and pre-processing

3.1Introduction

3.2Pre-processing using Genstat

3.3Pre-processing using Excel

Chapter 4: Experimental design

4.1Introduction

4.2Simple designs

4.3Factorial designs

4.4Split-plot designs

Chapter 5: Analysis across sites

5.1Introduction

5.2Complete two-way tables

5.3Incomplete two-way tables

5.4Joint regression analysis with complete two-way tables

5.5Joint regression analysis with incomplete two-way tables

Chapter 6: Variance components and genetics concepts

6.1Introduction

6.2Variance components

6.3Genetics concepts

6.4Heritability

6.5Heritability from provenance/progeny trials

6.6Genetic correlation

6.7Selecting superior treatments – BLUEs versus BLUPs

Chapter 7: Incomplete block designs

7.1Introduction

7.2Need for incomplete block designs

7.3Choice of incomplete block designs

7.4Generalised lattice designs and alpha designs

7.5Extra blocking structures

7.6Spatial enhancements

7.7Partially replicated designs

7.8Using CycDesigN

Chapter 8: Analysis of generalised lattice designs

8.1Introduction

8.2Fixed-effects model

8.3Mixed-effects model

8.4Nested treatment structure

8.5Treatments as random effects

8.6Summary of analysis options

Appendix A: Introduction to Genstat

Glossary

References

Index

Erscheint lt. Verlag	22.1.2024
Verlagsort	Melbourne
Sprache	englisch
Maße	170 x 245 mm
Gewicht	635 g
Themenwelt	Naturwissenschaften ► Biologie ► Botanik
	Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
	Weitere Fachgebiete ► Land- / Forstwirtschaft / Fischerei
ISBN-10	1-4863-1710-3 / 1486317103
ISBN-13	978-1-4863-1710-3 / 9781486317103
Zustand	Neuware