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Table 8 Estimated genetic parameters for macro- and micro-environmental sensitivity of milk yield in dairy cattle

From: Estimation of genetic variance for macro- and micro-environmental sensitivity using double hierarchical generalized linear models

Parameter

Macro–micro

Macro

Micro

Simple

Estimate

SE

Estimate

SE

Estimate

SE

Estimate

SE

σ A int 2

420 800

27960

420 400

28 004

416 800

27 696

416 000

27 692

σ A sl 2

11 096

2288

11 116

2320

    

σ A v 2

0.043

0.008

  

0.042

0.008

  

ρ A int , A sl

0.808

0.062

0.812

0.063

    

ρ A int , A v

0.627

0.073

  

0.608

0.0751

  

ρ A sl , A v

0.765

0.098

      

APHL

193 704

 

194 179

 

193 692

 

202 832

 

AIC

193 722

 

194 191

 

193 704

 

202 840

 
  1. σ A int 2 = additive genetic variance of breeding value for intercept; σ A sl 2 = additive genetic variance of breeding value for slope (= macro-environmental sensitivity); σ A v 2 = additive genetic variance in environmental variance (= micro-environmental sensitivity); ρ A int , A v = genetic correlation between breeding value for intercept and environmental variance; ρ A int , A sl = genetic correlation between breeding values of intercept and slope of reaction norm; ρ A sl , A v = genetic correlation between breeding values of slope and environmental variance; APHL = adjusted profile h-likelihood; AIC = Akaike’s information criterion; “Macro–micro” = model accounting for both macro- and micro-environmental sensitivities; “Macro” = model with only macro-environmental sensitivity; “Micro” = model with only micro-environmental sensitivity; “Simple” = model without macro- and micro environmental sensitivities and only a genetic effect for the phenotype; SE = approximate standard error obtained with ASReml.