Genomic prediction of crown rust resistance in Lolium perenne.

ABSTRACT:

Background

Genomic selection (GS) can accelerate genetic gains in breeding programmes by reducing the time it takes to complete a cycle of selection. Puccinia coronata f. sp lolli (crown rust) is one of the most widespread diseases of perennial ryegrass and can lead to reductions in yield, persistency and nutritional value. Here, we used a large perennial ryegrass population to assess the accuracy of using genome wide markers to predict crown rust resistance and to investigate the factors affecting predictive ability.

Results

Using these data, predictive ability for crown rust resistance in the complete population reached a maximum of 0.52. Much of the predictive ability resulted from the ability of markers to capture genetic relationships among families within the training

SUBMITTER: Arojju SK 

PROVIDER: S-EPMC5975627 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature