Deciphering the genetic regulation of inflorescence development in wheat. The project aims to identify genes and molecular processes that regulate inflorescence architecture in wheat, using state-of-the-art genetic resources to identify novel biological mechanisms that regulate the development of spikelets – reproductive branches that contain grain-producing florets. The research is highly significant as little is known about how spikelet and floret numbers are determined genetically in wheat, a ....Deciphering the genetic regulation of inflorescence development in wheat. The project aims to identify genes and molecular processes that regulate inflorescence architecture in wheat, using state-of-the-art genetic resources to identify novel biological mechanisms that regulate the development of spikelets – reproductive branches that contain grain-producing florets. The research is highly significant as little is known about how spikelet and floret numbers are determined genetically in wheat, and new traits need to be identified to increase yields for the world’s growing population. Project outcomes will include new insights into the biology that underpins grain production of wheat, with expected benefits enabling sustainable increases of yields by breeders and growers to help bolster global food security.Read moreRead less
Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, populat ....Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.Read moreRead less