Optimizing genomic selection for scarcely recorded traits

Genetic improvement of some novel traits is challenging in conventional dairy cattle breeding programs, because measuring the performance of each individual in the breeding population is too expensive.

Promovendus MJ (Marcin) Pszczola
Promotor JAM (Johan) van Arendonk
Copromotor MPL (Mario) Calus
Copromotor dr T Strabel
Organisatie Wageningen University, Wageningen Livestock Research

vr 22 november 2013 11:00 tot 12:30

Locatie Auditorium, building number 362
Generaal Foulkesweg 1
6703 BG Wageningen

With a new breeding tool that relies on DNA information – genomic selection – the expensive measurements need to be performed only on a subset of the whole breeding population. To optimally use this reduced number of measurements, alternative approaches are required compared to conventional traits such as milk yield.

Optimized genomic selection gives additional opportunities to genetically improve novel traits
Marcin Pszczola

The results of this PhD-thesis showed that genomic selection for novel traits can be optimized through careful selection of animals whose performance is recorded, and using available information from commonly measured traits.

This was a collaborative project between Poznan University of Life Sciences and Wageningen University.