Data visualization in yield component analysis: an expert study

Authors

  • Agnieszka Wnuk Warsaw University of Life Sciences; Dept. of Experimental Design and Bioinformatics
  • Dariusz Gozdowski Warsaw University of Life Sciences; Dept. of Experimental Design and Bioinformatics
  • Andrzej Górny Institute of Plant Genetics Polish Academy of Sciences
  • Zdzisław Wyszyński Warsaw University of Life Sciences; Dept. of Agronomy
  • Marcin Kozak University of Information Technology and Management in Rzeszów; Dept. of Quantitative Methods in Economics

DOI:

https://doi.org/10.1590/1678-992x-2015-0449

Keywords:

multiplicative model, complex trait, graphical methods

Abstract

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.

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Published

2017-04-01

Issue

Section

Biometry, Modeling and Statistics

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