Resources and strategies for implementation of genomic selection in breeding of forage species

Forster, J. W., Hand, M. L., Cogan, N. O. I., Hayes, B. J., Spangenberg, German C. and Smith, K. F. (2014) Resources and strategies for implementation of genomic selection in breeding of forage species. Crop and Pasture Science, 65 11: 1238-1247. doi:10.1071/CP13361


Author Forster, J. W.
Hand, M. L.
Cogan, N. O. I.
Hayes, B. J.
Spangenberg, German C.
Smith, K. F.
Title Resources and strategies for implementation of genomic selection in breeding of forage species
Journal name Crop and Pasture Science   Check publisher's open access policy
ISSN 1836-5795
1836-0947
Publication date 2014-11
Sub-type Article (original research)
DOI 10.1071/CP13361
Open Access Status Not yet assessed
Volume 65
Issue 11
Start page 1238
End page 1247
Total pages 10
Place of publication Clayton, VIC, Australia
Publisher C S I R O Publishing
Language eng
Abstract Forage species provide the major feed-base for livestock grazing industries supporting production of dairy products, red meat and animal fibres. Because of the complex, multifactorial and highly environmentally sensitive nature of many key breeders' traits for forage crops, implementation of genomic selection (GS) is a particularly attractive option. Although basic strategies for GS implementation have been devised, forage species display a broad range of biological factors that may influence the precise design of GS-based programs. These factors are described and exemplified by reference to several temperate and warm-season grass and legume species. Current knowledge with respect to such factors, along with the availability of suitable genomic resources and prospects for future activities, is described for several representative species (white clover, tall fescue and phalaris). Generic issues and benefits associated with GS implementation in forage breeding are also assessed.
Keyword Grass
Legume
Polyploidy
Self-incompatibility
Single nucleotide polymorphism
Symbiont
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Alliance for Agriculture and Food Innovation
 
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