Differences between revisions 3 and 4
Revision 3 as of 2013-09-13 15:20:26
Size: 1210
Editor: hgen-gjansen
Comment:
Revision 4 as of 2013-09-13 15:35:13
Size: 1591
Editor: hgen-gjansen
Comment:
Deletions are marked like this. Additions are marked like this.
Line 6: Line 6:
||2||brd||5||a3||Breed of evaluation|| ||2||brd||5||a3||Breed of evaluation (BSW/GUE/HOL/JER/RDC/SIM)||
Line 17: Line 17:
||13||ebv||76||f10.4||National predicted genetic merit|| ||13||ebv||76||f10.4||National predicted genetic merit ||
Line 21: Line 21:
 * population code is the same as country code with the following exceptions
  * DEA for joint DEU/AUS evaluations in BSW and SIM evaluations
  * DFS for joint DNK/FIN/SWE evaluations in all breeds
  * FRR for French Pied Rouge in HOL evaluations
  * FRM for French Montbeliard in HOL evaluations
  * CHR for Swiss Red Holsteins in HOL evaluations

Format300 for Submission of National Evaluations to IDEA

Col

Name

Start

Format

Description

1

rec

1

a3

Record type (300)

2

brd

5

a3

Breed of evaluation (BSW/GUE/HOL/JER/RDC/SIM)

3

pop

9

a3

Population code

4

trt

13

a3

Trait code

5

anim

17

a19

Animal international ID

6

type_prf

37

i2

Type of proof

7

off_pub

40

a1

Official publication of proof (Y/P/N)

8

status

42

i2

Bull status

9

ndau

44

i8

Number of daughters

10

nhrd

52

i8

Number of herds

11

edc

60

i8

Effective daughter contributions

12

rel

68

f8.4

Repeatability/Reliability

13

ebv

76

f10.4

National predicted genetic merit

Notes:

  • population code is the same as country code with the following exceptions
    • DEA for joint DEU/AUS evaluations in BSW and SIM evaluations
    • DFS for joint DNK/FIN/SWE evaluations in all breeds
    • FRR for French Pied Rouge in HOL evaluations
    • FRM for French Montbeliard in HOL evaluations
    • CHR for Swiss Red Holsteins in HOL evaluations
  • the rel field should be multiplied by 100 (eg. 95.6789)
  • the ebv field may contain different numbers of decimals for different traits (eg. -1234.0000 for milk yield, 111.1000 fat, protein or functional traits, or 2.3400 for type traits); the aim should be to have a minimum of two complete significant digits in the range of proofs, but more is even better)

public/File300 (last edited 2023-08-08 12:18:08 by Valentina)