Prospects for genomic selection in forage plant species

Hayes, Benjamin J., Cogan, Noel O. I., Pembleton, Luke W., Goddard, Michael E., Wang, Junping, Spangenberg, German C. and Forster, John W. (2013) Prospects for genomic selection in forage plant species. Plant Breeding, 132 2: 133-143. doi:10.1111/pbr.12037


Author Hayes, Benjamin J.
Cogan, Noel O. I.
Pembleton, Luke W.
Goddard, Michael E.
Wang, Junping
Spangenberg, German C.
Forster, John W.
Title Prospects for genomic selection in forage plant species
Journal name Plant Breeding   Check publisher's open access policy
ISSN 0179-9541
1439-0523
Publication date 2013-04
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1111/pbr.12037
Open Access Status Not yet assessed
Volume 132
Issue 2
Start page 133
End page 143
Total pages 11
Place of publication Berlin, Germany
Publisher Wiley-Blackwell
Language eng
Abstract Genomic selection (GS) is a powerful method for exploitation of DNA sequence polymorphisms in breeding improvement, through the prediction of breeding values based on all markers distributed genome-wide. Forage grasses and legumes provide important targets for GS implementation, as many key traits are difficult or expensive to assess, and are measured late in the breeding cycle. Generic attributes of forage breeding programmes are described, along with status of genomic resources for a representative species group (ryegrasses). Two schemes for implementing GS in ryegrass breeding are described. The first requires relatively little modification of current schemes, but could lead to significant reductions in operating cost. The second scheme would allow two rounds of selection for key agronomic traits within a time period previously required for a single round, potentially leading to doubling of genetic gain rate, but requires a purpose-designed reference population. In both schemes, the limited extent of linkage disequilibrium (LD), which is the major challenge for GS implementation in ryegrass breeding, is addressed. The strategies also incorporate recent advances in DNA sequencing technology to minimize costs.
Keyword Breeding programme
Grass
Legume
Pasture
Sequencing
Single-nucleotide polymorphism
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collection: Queensland Alliance for Agriculture and Food Innovation
 
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