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Table 2 Geographic distribution models of the maize clusters inferred by Bayesian analysis. Evaluation and variable importance

From: Dissecting maize diversity in lowland South America: genetic structure and geographic distribution models

Genetic Cluster

k-fold cv

AUCtrain (mean ± SD)

AUCtest (mean ± SD)

Variable importance (percent contribution)

    

Var1

Var2

Var3

NEA Flours

5

0.997 ± 0.001

0.994 ± 0.006

BIO3 (23.24)

BIO18 (17.26)

BIO4 (13.42)

Tropical Lowland

10

0.968 ± 0.002

0.938 ± 0.019

BIO4 (40.3)

BIO3 (22.9)

BIO16 (9.49)

Andean

10

0.992 ± 0.001

0.977 ± 0.018

Alt (35.75)

BIO4 (32.38)

BIO13 (7.04)

HM-US

10

0.968 ± 0.003

0.949 ± 0.038

BIO2 (34.49)

Alt (17.89)

BIO1 (12.39)

  1. cv cross-validation, Alt altitude, BIO1 Annual mean temperature, BIO2 Mean diurnal range, BIO3 Isothermality; BIO4 Temperature seasonality, BIO13 Precipitation of wettest month, BIO16 Precipitation of wettest quarter, BIO18 Precipitation of warmest quarter, HM-US Highland Mexico and US