What is the required accuracy of a test related to genetic improvement

J.B.M. Wilmink

What is the required accuracy of a test related to genetic improvement

In: Breeding, production recording, health and the evaluation of farm animals

Author:

J.B.M. Wilmink

J.B.M. Wilmink NRS, PO Box 454, 6800 AL Arnhem, The Netherlands

Search for other papers by J.B.M. Wilmink in
Current site
Google Scholar
PubMed

Type:: Chapter

Pages:: 323

DOI:: https://doi.org/10.3920/9789086865932_057

Purchase instant access (PDF download and unlimited online access):

€42.00€35.00 excl. VAT

Add to Cart

Redeem Access Token

In 1998 a report is presented by an ICAR-INTERBULL task force group to the ICAR board on the effect of accuracy of recording on genetic progress. Member of the task force group were: Petra Galesloot (NL), Dave Johnson (NZ), Wijbrand Ouweltjes (NL), Andrea Rosati (IT), Larry Schaeffer (CAN), Torstein Steine (N), Paul VanRaden (USA), Hans Wilmink (NL, convenor). The main conclusion in that report were that genetic gain is hardly effected if recording intervals increase to 8 weeks; that test in mid lactations have most predictive value for 305 day records; that a decrease meter accuracy with 1 kg is equivalent to increase of recording interval with 1 week; that is more important to invest in data quality check by storage of recorded data in an integrated database. The recommendations to the ICAR board were therefore that meter accuracy can be relaxed; that minimum number of tests in lactation should be 4 and that recording systems should be more flexible.

Galesloot and Ouweltjes (1998) studied the effect of different rates of accuracy of a milk meter on the heritability a measured trait and thus on genetic progress. In case of daily measurements, no decrease in heritability was could if meters became less accurate till 10%. In case of recording at 4 weekly intervals, the decrease in heritability was 0.02 if meters become 10% less accurate. In case of recording at 8 weekly intervals this decrease was also 0.02.

It is concluded that the accuracy of meters can be relaxed, at least till 10%. This will not effect genetic progress. It is still important that meters are unbiased. Main emphasis should be to keep the costs for recording al low as possible in order to make recording attractive in the market. Thus a significant reduction of costs of meters or costs for analysis of the milk content would be most important. In line measurements of milk content would be still of interest, if accuracy is low, but bias is zero.

Citation Info

Save
Cite
Email this content

Share link with colleague or librarian

You can email a link to this page to a colleague or librarian:
Email this content
or copy the link directly:

https://brill.edhh.ma/abstract/book/9789086865932/BP000057.xml
The link was not copied. Your current browser may not support copying via this button.

Link copied successfully

Collapse
Expand

Breeding, production recording, health and the evaluation of farm animals

Series: EAAP Scientific Series, Volume: 121

E-Book ISBN:: 9789086865932

Publisher:: Wageningen Academic

Print Publication Date:: 01 Nov 2007

Subjects
- Life Sciences
  - General
  - Animal & Veterinary

Metrics

	All Time	Past 365 days	Past 30 Days
Abstract Views	38	9	2
Full Text Views	1	0	0
PDF Views & Downloads	5	0	0

African Studies	Education	Media Studies
American Studies	History	Middle East and Islamic Studies
Ancient Near East and Egypt	Human Rights and Humanitarian Law	Musicology
Art History	International Law	Philosophy
Asian Studies	International Relations	Religious Studies
Biblical Studies	Jewish Studies	Slavic and Eurasian Studies
Biology	Languages and Linguistics	Social Sciences
Book History and Cartography	Life Sciences	Theology and World Christianity
Classical Studies	Literature and Cultural Studies

Subjects

Authors

Open Access

Product Information

Company

Contact

What is the required accuracy of a test related to genetic improvement

Citation Info

Share link with colleague or librarian

Breeding, production recording, health and the evaluation of farm animals

Table of Contents

Metrics

Metrics