Aarhus Universitets segl

Luc Janss

Genomic Selection for agronomic important traits in two-rowed winter barley

Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningpeer review

  • Theresa Ankamah-Yeboah, Københavns Universitet
  • ,
  • A M Torp, The Royal Vet. and Agricultural University, Danmark
  • Jens Due Jensen, Nordic Seed A/S, Danmark
  • Luc Janss
  • S.K. Rasmussen, Københavns Universitet, Danmark
Genomic selection, a process where all marker effects covering the entire genome are simultaneously estimated to calculate genomic estimated breeding values (GEBVs) of individuals for selection is reported as a promising tool for accelerating genetic gains in polygenic traits. Its incorporation in plant breeding is more of a reality now than it was some few years ago through the advancement in statistical analysis as well as technologies for genomic studies. Previous simulation studies as well as studies of empirical data have shown a great potential of this tool in barley breeding. This study aims at developing genomic
prediction models for seed quality traits in winter barley and identifying the genes controlling these traits. Data on protein content, seed specific weight and seed fractions (of 2.8mm, 2.5mm and 2.2mm diameter) were used. The data used was collected on 184 elite winter barley lines originating from a commercial
breeding program. These lines had been grown at three different locations in Denmark and genotyped using the barley 9K iSelect SNP chip.
Here we report findings from the comparison of different statistical models for their prediction abilities in the quality traits mentioned above. Results from association study performed to identify the genomic regions associated with these polygenically controlled traits would also be reported.incredible tool for accelerating genetic gains. Its incorporation in plant breeding is more of a reality now than it was some few years ago through the advancement in statistical analysis as well as technologies for genomic studies. Previous simulation studies as well as studies of empirical data have shown a great potential of genomic selection in barley breeding. Here we report results from the comparison of different statistical models for their prediction abilities in agronomic traits such as protein content, seed specific weight and seed fraction weight of elite winter barley lines originating from a commercial breeding program. Furthermore, we also report on an association study performed to identify the genomic regions
associated with these three polygenically controlled traits.
OriginalsprogEngelsk
Udgivelsesår2016
StatusUdgivet - 2016
Begivenhed12th International Barley Genetics Symposium - Commons Hotel, University of Minnesota’s East Bank, Minneapolis, USA
Varighed: 26 jun. 201630 jun. 2016
http://ibgs2016.org

Konference

Konference12th International Barley Genetics Symposium
Lokation Commons Hotel, University of Minnesota’s East Bank
LandUSA
ByMinneapolis
Periode26/06/201630/06/2016
Internetadresse

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