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Table 2 BIC-based comparison of the four models used to control the rate of false positive associations

From: Genome-wide association study identifies favorable SNP alleles and candidate genes for frost tolerance in pea

Trait

LMM1

LMM2

LMM3

LMM4

-2ln(L)

BIC

-2ln(L)

BIC

-2ln(L)

BIC

-2ln(L)

BIC

FD_CC

704.71

4073.94

701.16

4070.4

695.27

4064.51

691.68

4060.92

FD_Field_date1

658.87

4028.11

658.4

4027.63

675.69

4026.92

656.14

4025.38

FD_Field_date2

735.42

4076.81

732.06

4073.45

731.26

4072.65

728.85

4070.24

FD_Field_date3

837.83

4207.06

833.87

4203.1

836.8

4206.04

831.51

4200.74

FD_Field_date4

482.59

3489.84

481.45

3488.7

483.23

3490.48

482.53

3489.78

  1. LMM1 linear mixed model including the K kinship matrix, LMM2 linear mixed model including the KLG kinship matrix, LMM3 linear mixed model including the K kinship matrix and the population structure matrix (Q), LMM4 linear mixed model including the KLG kinship matrix and the population structure matrix (Q). The model with the lowest BIC value (bold) is considered to be the best choice for the target trait