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Table 5 Variance components for traits related to heat tolerance based on models fitting 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

Traita

Modelb

\(\widehat{{\sigma }_{a}^{2}}\)

\(\widehat{{\sigma }_{d}^{2}}\)

\(\widehat{{\sigma }_{aa}^{2}}\)

\(\widehat{{\sigma }_{pe}^{2}}\)

\(\widehat{{\sigma }_{e}^{2}}\)

TVall

MAIpe

0.0626 ± 0.0107

-

-

0.1274 ± 0.0081

0.3047 ± 0.0005

MAIDpe

0.0618 ± 0.0111

0.0050 ± 0.0140

-

0.1237 ± 0.0128

0.3047 ± 0.0005

MAIDEpe

0.0616 ± 0.0121

0.0047 ± 0.0144

0.0031 ± 0.0340

0.1213 ± 0.0294

0.3047 ± 0.0005

MAIEpe

0.0618 ± 0.0120

 

0.0050 ± 0.0336

0.1231 ± 0.0290

0.3047 ± 0.0005

TV4days

MAIpe

0.0653 ± 0.0113

-

-

0.1266 ± 0.0086

0.1378 ± 0.0014

MAIDpe

0.0642 ± 0.0116

0.0068 ± 0.0145

-

0.1216 ± 0.0132

0.1378 ± 0.0014

MAIDEpe

0.0642 ± 0.0116

0.0068 ± 0.0145

3.48 × 10−9 ± 0.00000

0.1216 ± 0.0132

0.1378 ± 0.0014

MAIEpe

0.0653 ± 0.0113

-

3.48 × 10−9 ± 0.00000

0.1266 ± 0.0086

0.1378 ± 0.0014

TES

MAIpe

0.0316 ± 0.0069

-

-

0.0507 ± 0.0059

0.7287 ± 0.0074

MAIDpe

0.0316 ± 0.0069

1.84 × 10−8 ± 0.00000

-

0.0507 ± 0.0059

0.7287 ± 0.0074

MAIDEpe

0.0316 ± 0.0069

1.84 × 10−8 ± 0.00000

1.84 × 10−8 ± 0.00000

0.0507 ± 0.00589

0.7287 ± 0.0074

MAIEpe

0.0316 ± 0.0069

-

1.84 × 10−8 ± 0.00000

0.0507 ± 0.00589

0.7287 ± 0.0074

TSS

MAIpe

0.0445 ± 0.0100

-

-

0.1176 ± 0.0090

0.6119 ± 0.0062

MAIDpe

0.0437 ± 0.0104

0.0045 ± 0.0165

-

0.1145 ± 0.0145

0.6119 ± 0.0062

MAIDEpe

0.0437 ± 0.0104

0.0045 ± 0.0165

1.54 × 10−7 ± 0.00000

0.1145 ± 0.0145

0.6119 ± 0.0062

MAIEpe

0.0445 ± 0.0100

-

1.54 × 10−7 ± 0.00000

0.1176 ± 0.0090

0.6119 ± 0.0062

TRS

MAIpe

0.0276 ± 0.0063

-

-

0.0739 ± 0.0056

0.3577 ± 0.0036

MAIDpe

0.0276 ± 0.0063

9.05 × 10−9 ± 0.00000

-

0.0739 ± 0.0056

0.3577 ± 0.0036

MAIDEpe

0.0276 ± 0.0063

9.05 × 10−9 ± 0.00000

9.05 × 10−9 ± 0.00000

0.0739 ± 0.0056

0.3577 ± 0.0036

MAIEpe

0.0276 ± 0.0063

-

9.05 × 10−9 ± 0.00000

0.0739 ± 0.0056

0.3577 ± 0.0036

TTS

MAIpe

0.0283 ± 0.0067

-

-

0.0730 ± 0.0060

0.4525 ± 0.0046

MAIDpe

0.0278 ± 0.0070

0.0021 ± 0.0096

-

0.0716 ± 0.0089

0.4525 ± 0.0046

MAIDEpe

0.0278 ± 0.0070

0.0021 ± 0.0096

1.14 × 10−8 ± 0.00000

0.0716 ± 0.00889

0.4525 ± 0.0046

MAIEpe

0.0283 ± 0.0067

-

1.14 × 10−8 ± 0.00000

0.0730 ± 0.0060

0.4525 ± 0.0046

RR

MAIpe

34.7580 ± 7.0790

-

-

70.3639 ± 5.9429

442.7150 ± 4.4814

MAIDpe

34.7580 ± 7.0790

1.11 × 10−5 ± 0.00000

-

70.3639 ± 5.9429

442.7150 ± 4.4814

MAIDEpe

34.7580 ± 7.0790

1.11 × 10−5 ± 0.00000

1.11 × 10−5 ± 0.00000

70.3639 ± 5.9429

442.7150 ± 4.4814

MAIEpe

34.7580 ± 7.0790

-

1.11 × 10−5 ± 0.00000

70.3639 ± 5.9429

442.7150 ± 4.4814

PS

MAIpe

0.0551 ± 0.0185

-

-

0.1297 ± 0.0195

0.8463 ± 0.0191

MAIDpe

0.0542 ± 0.0194

0.0044 ± 0.0291

-

0.1267 ± 0.0282

0.8463 ± 0.0191

MAIDEpe

0.0298 ± 0.0204

2.14 × 10−8 ± 0.00000

0.1379 ± 0.0711

0.0137 ± 0.0623

0.8463 ± 0.0191

MAIEpe

0.0298 ± 0.0204

-

0.1379 ± 0.0711

0.0137 ± 0.0623

0.8463 ± 0.0191

HD

MAI

0.1088 ± 0.0247

-

-

-

0.3052 ± 0.0206

MAID

0.1040 ± 0.0256

0.0289 ± 0.0366

-

-

0.2854 ± 0.0324

MAIDE1

0.0795 ± 0.0278

0.0147 ± 0.0367

0.1745 ± 0.1015

-

0.1437 ± 0.0876

MAIE

0.0806 ± 0.0275

-

0.1845 ± 0.0997

-

0.1455 ± 0.0876

  1. \(\widehat{{\sigma }_{a}^{2}}\): additive genetic variance estimate
  2. \(\widehat{{\sigma }_{d}^{2}}\): dominance variance estimate
  3. \(\widehat{{\sigma }_{aa}^{2}}\): additive-by-additive epistatic variance estimate
  4. \(\widehat{{\sigma }_{pe}^{2}}\): permanent environmental variance estimate
  5. \(\widehat{{\sigma }_{e}^{2}}\): residual variance estimate
  6. aTVall: all measures (every 10 min) of vaginal temperatures during four days (°C); TV4days: four-time measures of vaginal temperatures during four days (°C); TES: ear skin temperature; TSS: shoulder skin temperature; TRS: rump skin temperature; TTS: tail skin temperature; RR: respiration rate; PS: panting score; HD: hair density.
  7. bMAIpe: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\textbf{Zpe}+\varvec{\upepsilon }\); MAIEpe: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\textbf{Zpe}+\textbf{Z}{\varvec{e}}_{\textbf{aa}}+\varvec{\upepsilon }\); MAIDpe: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\textbf{Zpe}+\textbf{Zd}+\varvec{\upepsilon }\); MAIDEpe: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\textbf{Zd}+\textbf{Z}{\varvec{e}}_{\textbf{aa}}+\textbf{Zpe}+\varvec{\upepsilon }\); MAI: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\varvec{\upepsilon }\); MAIE: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\textbf{Z}{\varvec{e}}_{\textbf{aa}}+\varvec{\upepsilon }\); MAID: \(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\textbf{Zd}+\varvec{\upepsilon }\); MAIDE1:\(\textbf{y}=\textbf{X}\varvec{\upbeta }+\textbf{fb}+\textbf{Za}+\textbf{Zd}+\textbf{Z}{\varvec{e}}_{\textbf{aa}}+\varvec{\upepsilon }\)
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BMC Genomic Data

ISSN: 2730-6844

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