Search
Close this search box.

Applying genomic signal processing methods to accelerate crop breeding

Facebook
Twitter
Email
LinkedIn

Generating solutions

Status

Past

Competition

2012 Bioinformatics and Computational Biology Competition

Genome Centre(s)

GE3LS

No

Project Leader(s)

Fiscal Year Project Launched

2013-2014

Project Description

Selective breeding improves plant and animal products by identifying desirable traits such as quality, yield, and ability to grow in difficult conditions, ensuring that there is sufficient production for food, fuel and raw materials. Factors like climate change and population growth are making selective breeding more important than ever. The genomic composition of each organism is such that it is either well- or poorly- adapted to their environment. Predicting the genetic value of an individual organism has become one of the largest challenges facing the plant genetics research community. Drs. Lewis Lukens and Cortland Griswold are using bioinformatics tools to understand how organisms that adapt well to their environments can be selected to accelerate the development of new plant varieties.

Facebook
Twitter
Email
LinkedIn