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Comparison of four performance models in quantifying the inequality of leaf and fruit size distribution. | LitMetric

AI Article Synopsis

  • The Gini index is used to measure the inequality of leaf and fruit sizes in plants, employing the Lorenz curve to illustrate their cumulative distribution.
  • Previous research has mainly focused on two performance equations, PE-1 and GPE-1, that model these Lorenz curves, while a potential alternative, PE-2, has not been thoroughly analyzed.
  • The current study compares four performance equations, including generalized versions, and finds GPE-1 to have the best fit for the data, while PE-2 displays a better linear behavior, aiding in the assessment of plant organ size distribution inequality.

Article Abstract

The inequality in leaf and fruit size distribution per plant can be quantified using the Gini index, which is linked to the Lorenz curve depicting the cumulative proportion of leaf (or fruit) size against the cumulative proportion of the number of leaves (or fruits). Prior researches have predominantly employed empirical models-specifically the original performance equation (PE-1) and its generalized counterpart (GPE-1)-to fit rotated and right-shifted Lorenz curves. Notably, another potential performance equation (PE-2), capable of generating similar curves to PE-1, has been overlooked and not systematically compared with PE-1 and GPE-1. Furthermore, PE-2 has been extended into a generalized version (GPE-2). In the present study, we conducted a comparative analysis of these four performance equations, evaluating their applicability in describing Lorenz curves related to plant organ (leaf and fruit) size. Leaf area was measured on 240 culms of dwarf bamboo ( Nakai), and fruit volume was measured on 31 field muskmelon plants ( L. var. Naud.). Across both datasets, the root-mean-square errors of all four performance models were consistently smaller than 0.05. Paired -tests indicated that GPE-1 exhibited the lowest root-mean-square error and Akaike information criterion value among the four performance equations. However, PE-2 gave the best close-to-linear behavior based on relative curvature measures. This study presents a valuable tool for assessing the inequality of plant organ size distribution.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10905244PMC
http://dx.doi.org/10.1002/ece3.11072DOI Listing

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