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. 2018 Aug 9;123(1):107–120. doi: 10.1093/aob/mcy147

Table 1.

Intraspecific variation in leaf traits of Glycine max

Trait n Log-likelihood values Descriptive statistics
Normal Log-normal Range Mean/median S.d./mad CV
Leaf area (cm2) 402 –1505.9 –1492.4 12.1–61.5 29.5 10.1 34.3
LMA (g m–2) 402 –1514.9 –1500.2 23.5–74.9 41.2 11.1 27.1
A area (μmol m–2 s–1) 402 –1223.0 –1272.8 3.96–32.39 20.84 5.08 24.4
A mass (μmol g–1 s–1) 402 212.2 175.8 0.08–1.05 0.50 0.14 28.5
Leaf C (% mass) 402 –737.6 –740.3 38.2–45.7 42.8 1.5 3.6
Leaf N (% mass) 402 –460.5 –463.7 2.4–6.2 4.1 0.8 18.7
Leaf C:N 402 –815.0 –798.7 7.1–16.9 10.5 1.9 17.6
WUE (mmol CO2 mol H2O–1) 399 –873.9 –692.7 1.37–18.98 3.35 1.05 31.3
g s (mol H2O m–2 s–1) 399 –27.0 –138.7 0.019–1.338 0.57 0.259 45.5
Nodules per plant 134 –686.2 –660.0 4–230 54 31.1 65.0
Nodule mass 134 –20.4 24.9 0.01–1.5 0.22 0.2 85.0
Pods per plant 45 –188.0 –165.3 4–82 14 8.9 87.1
Seeds per plant 45 –225.3 –202.4 11–195 32 17.8 86.3

For each trait, the best distribution fit models based on log-likelihood values are highlighted in bold. Where traits were best described by a normal distribution, descriptive statistics include mean, standard deviation (s.d.) and coefficient of variation (CV). For traits best described by a log-normal distribution, descriptive statistic include median and median absolute deviation (mad); CVs were quartile based (calculated as mad/median).