Data visualization in yield component analysis: an expert study
DOI:
https://doi.org/10.1590/1678-992x-2015-0449Keywords:
multiplicative model, complex trait, graphical methodsAbstract
Even though data visualization is a common analytical tool in numerous disciplines, it has rarely been used in agricultural sciences, particularly in agronomy. In this paper, we discuss a study on employing data visualization to analyze a multiplicative model. This model is often used by agronomists, for example in the so-called yield component analysis. The multiplicative model in agronomy is normally analyzed by statistical or related methods. In practice, unfortunately, usefulness of these methods is limited since they help to answer only a few questions, not allowing for a complex view of the phenomena studied. We believe that data visualization could be used for such complex analysis and presentation of the multiplicative model. To that end, we conducted an expert survey. It showed that visualization methods could indeed be useful for analysis and presentation of the multiplicative model.Downloads
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Published
2017-04-01
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Section
Biometry, Modeling and Statistics
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All content of the journal, except where identified, is licensed under a Creative Common attribution-type BY-NC.How to Cite
Data visualization in yield component analysis: an expert study. (2017). Scientia Agricola, 74(2), 118-126. https://doi.org/10.1590/1678-992x-2015-0449