Breeding scheme optimization

Basics of Genomic Selection 5. Mid-density Genotyping

Eng Hwa Ng and Rajaguru Bohar present the current genotyping shared services available from EiB to enable low, mid and high-density genotyping for the application in genomic selection. The link to trait augmentation is presented and the logistical challenges involved in starting to genotype the early-stage materials from programs is discussed. A network strategy for genotyping is presented to breeders. Costs, workflows, panels available and crop status are discussed by Rajaguru.

Basics of Genomic Selection 4. Selection Intensity and Cycle Time

Giovanny Covarrubias-Pazaran presents how to implement genomic prediction to change selection intensity. It is possible to increase selection intensity at an additional cost (although lower than the cost of phenotyping) or maintain the same intensity and accuracy with reduced costs.

Additionally, Covarrubias-Pazaran presents how to implement genomic prediction to reduce cycle time. This implies predicting individuals that have not been observed before while also predicting haplotypes that have not been observed before.

Webinar: Costing for breeding programs

The “Breeding Costing Tool” is a powerful solution for allowing users to estimate the cost of crop breeding and its associated research activities and to help breeders make decisions about resource allocation. The costing tool is designed to calculate the cost of running a crop breeding activity, or an entire breeding pipeline, using the prices, costs and salaries from a single year. The software is freely available from the Queensland Alliance for Agriculture and Food Innovation and the University of Queensland in Australia.