Experimental Design and Analysis for Tree Improvement
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 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. She lives in Weston, ACT.
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 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.
