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Table 3 Spearman’s rank correlation between the additive genetic model (MA) and other models considering non-additive genetic effects

From: Investigating the impact of non-additive genetic effects in the estimation of variance components and genomic predictions for heat tolerance and performance traits in crossbred and purebred pig populations

Modela

T1

T2

T3

T4

T5

MAI

0.9990

1.000

0.9996

1.0000

0.9993

MAE

0.9844

0.9952

0.9645

0.9989

0.9968

MAIE

0.9856

0.9952

0.9630

0.9989

0.996

MAD

1.0000

0.9999

0.9998

0.9999

0.9985

MAID

0.9990

0.9999

0.9995

0.9999

0.9985

MADE1

0.9844

0.9951

0.9644

0.9989

0.9966

MAIDE1

0.9856

0.9950

0.9630

0.9989

0.9964

MADE2

0.9844

0.9951

0.9692

0.9989

0.9966

MAIDE2

0.9856

0.9950

0.9678

0.9989

0.9964

MADE3

0.9844

0.9951

0.9716

0.9989

0.9966

MAIDE3b

0.9856

0.9950

-

0.9989

0.9964

  1. aMA: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{Za}+\varvec{\upepsilon }\); MAI: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\varvec{\upepsilon }\); MAE: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{Za}+\textbf{Z}{\varvec{e}}_{\varvec{a}\varvec{a}}+\varvec{\upepsilon }\); MAIE: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\textbf{Z}{\varvec{e}}_{\textbf{aa}}+\varvec{\upepsilon }\); MAD: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{Za}+\textbf{Zd}+\varvec{\upepsilon }\); MAID: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\textbf{Zd}+\varvec{\upepsilon }\); MADE1: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{Za}+\textbf{Zd}+\textbf{Z}{\varvec{e}}_{\textbf{aa}}+\varvec{\upepsilon }\); MAIDE1: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\textbf{Zd}+\textbf{Z}{\varvec{e}}_{\textbf{aa}}+\varvec{\upepsilon }\); MADE2: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{Za}+\textbf{Zd}+\textbf{Z}{\varvec{e}}_{\textbf{aa}}+\textbf{Z}{\varvec{e}}_{\textbf{ad}}+\varvec{\upepsilon }\); MAIDE2: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\textbf{Zd}+\textbf{Z}{\varvec{e}}_{\textbf{aa}}+\textbf{Z}{\varvec{e}}_{\textbf{ad}}+\varvec{\upepsilon }\); MADE3: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{Za}+\textbf{Zd}+\textbf{Z}{\varvec{e}}_{\textbf{aa}}+\textbf{Z}{\varvec{e}}_{\textbf{ad}}+\textbf{Z}{\varvec{e}}_{\textbf{dd}}+\varvec{\upepsilon }\); MAIDE3:\(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\textbf{Zd}+\textbf{Z}{\varvec{e}}_{\textbf{aa}}+\textbf{Z}{\varvec{e}}_{\textbf{ad}}+\textbf{Z}{\varvec{e}}_{\textbf{dd}}+\varvec{\upepsilon }\)
  2. bThe model MAIDE3 did not converge for T3
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