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Table 1 Summary of effects$ and degree of polynomials# included in random regression (RRM) models (fitting weeks of lay), with corresponding log likelihoods (LogL relative to model 1)

From: Inheritance of fertility in broiler chickens

Model

a m = a f $

pe m

pe f

LogL

Fitting repeatability model with constant error variance

0

0

0

0

-3947.5

Fitting error variance for each 26 individual weeks of lay

1

0

1

1

0

2

0

2

2

1357.7

3

0

3

2

1556.1

4

0

2

3

1786.5

5

0

3

3

1883.9

6

1

3

3

1888.9

Fitting genetic covariance of male and female effects

5(+)

0

3

3

1884.1

  1. $a m , a f genetic effects, pe m , pe f permanent environment effects for male and female fertility respectively
  2. #Degree: 0 = constant, 1 = linear regression, 2 = quadratic regression, 3 = cubic regression