2011Socio-Environmental Systems ModelingOpen access

Predicted response of genomic selection for new traits using combined cow and bull reference populations

M.P.L. Calus, Y. de Haas, Marcin Pszczoła, R.F. Veerkamp

Open full text 4 citations

Abstract

Genomic selection is particularly beneficial for dairy cattle breeding programs, because it allows to significantly reduce generation interval, and cheaply increase selection intensity, while the accuracy of selection is only marginally lower compared to progeny testing schemes. It relaxes the requirement of traditional dairy cattle breeding schemes to measure phenotypes from progeny groups for each male selection candidate. Therefore, genomic selection holds the promise to allow selection for new traits, that are difficult or expensive to measure.

About this research paper

What this paper is about

Genomic selection is particularly beneficial for dairy cattle breeding programs, because it allows to significantly reduce generation interval, and cheaply increase selection intensity, while the accuracy of selection is only marginally lower compared to progeny testing schemes. It relaxes the requirement of traditional dairy cattle breeding schemes to measure phenotypes from progeny groups for each male selection candidate. Therefore, genomic selection holds the promise to allow selection for new traits, that are difficult or expensive to measure.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Genomic selection is particularly beneficial for dairy cattle breeding programs, because it allows to significantly reduce generation interval, and cheaply increase selection intensity, while the accuracy of selection is only marginally lower compared to progeny testing schemes. It relaxes the requirement of traditional dairy cattle breeding schemes to measure phenotypes from progeny groups for each male selection candidate. Therefore, genomic selection holds the promise to allow selection for new traits, that are difficult or expensive to measure.

Key concepts: Selection (genetic algorithm), Genomic selection, Biology, Dairy cattle, Biotechnology, Genetics, Computer science, Gene

Related papers

Back to paper searchBrowse research topicsOriginal source
Predicted response of genomic selection for new traits using combined cow and bull reference populations — Research Paper | ScholarLens