Combined Analysis of Experimental Data

Bayo Lawal ()
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Bayo Lawal: Kwara State University, Department of Statistics and Mathematical Sciences

Chapter 20 in Applied Statistical Methods in Agriculture, Health and Life Sciences, 2014, pp 749-777 from Springer

Abstract: Abstract Crop performance in field experiments depend on a number of factors, namely, experimental factors introduced by the researcher (e.g. fertilizer levels, spacing, plant density, pest control, weed control etc.), environmental factors (such as soil fertility, seasonal variation, amount of sunshine, amount of rainfall, humidity, etc.) and the species properties such as the genotype of the crop. While experimental factors can be controlled by the researcher, however, the environmental factors, which are often fixed can not be controlled by the researcher, nor the consequent interaction effects of these environmental factors with experimental factors. In some experiments the effects of these environmental factors and their associated interactions may be even more pronounced and important than the effects of the research factors.

Keywords: Combine Analysis; Orthogonal Component; ANOVA Table; Variance Table; Nitrogen Rate (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-05555-8_20

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DOI: 10.1007/978-3-319-05555-8_20

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