Magdalena Julkowska, PhD
Plants are master shape-shifters, constantly adapting their architecture to enhance resource acquisition, ensuring reproductive success. These metamorphoses are governed by genotype and environment (GxE) interactions. Understanding the full range of plant’s morphological versatility, environmental triggers and adaptive relevance often requires a thorough assessment of large numbers of genotypes under various conditions. Recent advances in phenotyping technologies allow the high-throughput quantification of traits reflecting plant size, shape, photosynthetic efficiency and transpiration rate. With increasing number of phenotypes it is becoming increasingly crucial, and proportionally complicated, to identify redundancy, correlations, and impact in phenotypic datasets. Therefore, we developed the MVApp (mvapp.kaust.edu.sa), a user-friendly multivariate analysis tool for large or small datasets. The MVApp features include:
We show how MVApp enhanced the understanding of traits contributing to salt stress responses in large Arabidopsis thaliana natural diversity panels. We think that MVApp will serve the scientific community streamlining laborious multivariate analysis and enhancing transparent data curation and analysis.
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