Skip to main content

Table 1 Estimates of π from Bayes C π analysis in the Angus training (PT) population

From: Reduction in accuracy of genomic prediction for ordered categorical data compared to continuous observations

Type of phenotype

Model

h 2

c

n = 1000

n = 2250

Continuous

Linear

0.10

-

0.99982 ± 0.00002

0.99985 ± 0.00002

  

0.25

-

0.99972 ± 0.00003

0.99940 ± 0.00006

  

0.50

-

0.99903 ± 0.00007

0.99861 ± 0.00008

Categorical

Threshold

0.10

2

0.99700 ± 0.00159

0.99992 ± 0.00001

   

3

0.99636 ± 0.00257

0.99992 ± 0.00001

   

4

0.99881 ± 0.00053

0.99991 ± 0.00001

  

0.25

2

0.99955 ± 0.00010

0.99976 ± 0.00004

   

3

0.99939 ± 0.00019

0.99973 ± 0.00004

   

4

0.99949 ± 0.00015

0.99973 ± 0.00004

  

0.50

2

0.99562 ± 0.00112

0.99894 ± 0.00012

   

3

0.99583 ± 0.00116

0.99900 ± 0.00008

   

4

0.99319 ± 0.00258

0.99894 ± 0.00009

Categorical

Linear

0.10

2

0.99989 ± 0.00001

0.99995 ± 0.00001

   

3

0.99987 ± 0.00001

0.99995 ± 0.00001

   

4

0.99985 ± 0.00002

0.99994 ± 0.00001

  

0.25

2

0.99992 ± 0.00001

0.99993 ± 0.00001

   

3

0.99992 ± 0.00001

0.99992 ± 0.00001

   

4

0.99991 ± 0.00001

0.99990 ± 0.00001

  

0.50

2

0.99990 ± 0.00001

0.99981 ± 0.00002

   

3

0.99988 ± 0.00001

0.99976 ± 0.00002

   

4

0.99984 ± 0.00001

0.99967 ± 0.00003

  1. The true value of π was 0.999.