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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.