Marker development, High-throughput and logistics of MAS applications in a large wheat breeding program
Cakir, M., Drake-Brockman, F., Ma, J., Paux, E., Jose, K., Connor, M., Naughton, J., Bussanich, J., Nisbett, M., Shankar, M., Moore, C., McLean, R., Wilson, R., Barclay, I., Roger, D., Gandon, B., Feuillet, C., Jones, M. and Loughman, R. (2008) Marker development, High-throughput and logistics of MAS applications in a large wheat breeding program. In: XVI International Plant and Animal Genome Conference, 12 - 16 January 2008, Town & Country Convention Center, San Diego, CA
Molecular markers are being increasingly used as a selection tool in wheat breeding programs around the world. The deployment of multiple genes for disease, quality and agronomic traits into breeding lines is the major aim of a breeding program. To effectively utilise molecular markers, breeders require timely delivered accurate and reliable information, and lots of them! This presentation aims to outline; (1) Development of molecular markers for the breeders’ traits and an informative gene map for breeders that includes traits of immediate interest, and (2) discussions about the high-throughput and logistics of MAS applications in a large breeding program.
Molecular marker development is fully integrated with the breeding operations, and activities are focused on the traits that breeders prioritise in the program. As the new markers were identified from our work and/or literature these were then integrated into marker cassettes formed for different group of traits (i.e. quality, disease) for their effective use in MAS.
Based on the traits that are required by the breeding program we have established a trait based map that serve as a guide to breeders in their daily activities including crossing decisions. The program currently is using marker-assisted selection for 40 traits/genes, for which more than one marker are used for the quantitative traits. To define the needs of three sub-programs and for the timely delivery of the outputs by the molecular lab, we have developed a simple excel based database. This DB has allowed us to keep track the requirements of each of the three sub-programs to make sure that marker laboratory spends its resources equally. Data analysis is one of the limitations of high-throughput marker applications and to overcome this additional analysis tools are being developed.
|Publication Type:||Conference Paper|
|Murdoch Affiliation:||Western Australian State Agricultural Biotechnology Centre|
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