Abstract
Scientific studies generally belong to one of three categories: designed experiments, sample surveys, and observational studies. Most research on the cold hardiness of conifers is based on designed experiments where the scientist wishes to compare two or more treatments. The design and/or analysis of experiments is the topic of numerous books among which are classics such as Cochran and Cox (1957) and Cox (1958). More recently, Mead (1988) has offered an excellent and refreshing view of the subject. For readers who are less mathematically inclined, Little and Hills (1978) give a fairly good introduction to both design and analysis, but they stop short of covering the general linear mixed model which is so often needed in research on cold hardiness. The analysis of such models is covered quite thoroughly by Milliken and Johnson (1984) and Littell et al. (1996), the latter being specifically concerned with recent SAS procedures (SAS Institute Inc. 1989, 1997). In this chapter, we will focus on some important aspects of the design and analysis of data from cold hardiness experiments.
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Bernier-Cardou, M., Bigras, F.J. (2001). The Analysis of Cold Hardiness Experiments. In: Bigras, F.J., Colombo, S.J. (eds) Conifer Cold Hardiness. Tree Physiology, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9650-3_15
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DOI: https://doi.org/10.1007/978-94-015-9650-3_15
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