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. Supplementary material available via: https://www.publish.csiro.au/book/8100/#supplementary 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.
Muu info
Primary markets: Tree breeders, experimental design teachers and course presenters, especially to non-statisticians. Secondary markets: All field, glasshouse trial and phenomics experimenters.
Chapter
1. Introduction
Chapter
2. Experimental planning and layout
Chapter
3. Data collection and pre-processing
Chapter
4. Experimental design
Chapter
5. Analysis across sites
Chapter
6. Variance components and genetics concepts
Chapter
7. Incomplete block designs
Chapter
8. Analysis of generalised lattice designs
Emlyn Williams (Author) 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.
