Data visualization in yield component analysis: an expert study
DOI:
https://doi.org/10.1590/1678-992x-2015-0449Palavras-chave:
multiplicative model, complex trait, graphical methodsResumo
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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Publicado
2017-04-01
Edição
Seção
Modelagem de Biometria e Estatística
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Todo o conteúdo do periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons do tipo atribuição BY-NC.Como Citar
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