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

Author:

Wang Lin1,He Ke2,Hui Cang34,Ratkowsky David A.5,Yao Weihao6,Lian Meng1,Wang Jinfeng6,Shi Peijian16ORCID

Affiliation:

1. Department of Applied Mathematics, College of Science Nanjing Forestry University Nanjing China

2. Architectural Design and Research Institute Shenzhen University Shenzhen China

3. Department of Mathematical Sciences, Centre for Invasion Biology Stellenbosch University Stellenbosch South Africa

4. Mathematical and Physical Biosciences, African Institute for Mathematical Sciences Cape Town South Africa

5. Tasmanian Institute of Agriculture University of Tasmania Hobart Tasmania Australia

6. Bamboo Research Institute, College of Ecology and Environment Nanjing Forestry University Nanjing China

Abstract

AbstractThe 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 (Shibataea chinensis Nakai), and fruit volume was measured on 31 field muskmelon plants (Cucumis melo L. var. agrestis Naud.). Across both datasets, the root‐mean‐square errors of all four performance models were consistently smaller than 0.05. Paired t‐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.

Publisher

Wiley

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