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Project Members:

Stephanie Bradbury (Project Coordinator, s.bradbury@qut.edu.au)

Brett Williams (Subject Matter Expert, b.williams@qut.edu.au)

Research Data Librarian (Philippa Frame, p.frame@qut.edu.au)

ANDS Contact:

Andrew White (andrew.white@ands.org.au)

Project Status:

Completed

Promoting Australian Pulses through Data Sharing

Queensland University of Technology

Project Description

Pulse crops include chickpea, lentils, mung bean, cowpeas and beans grown for their dry edible seeds high in protein and fibre, but low in fat. Pulses provide some of the world’s most economical sources of protein for food and feed. These proteins are high in the essential amino acids lysine and methionine, making them nutritionally complementary to the cereals that lack both these amino acids. While growing pulses has natural advantages such as increasing soil nitrogen content, increasing tropical pulse production has some inherent challenges. Increasing climate variability and change are major risk factors, as are the increasing incidences of pests and diseases. In a recent study, the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) forecasted that agricultural production could fall by as much as 19 per cent by 2050 with Australia projected to be one of the most adversely affected regions in terms of reductions in agricultural production and exports.

A key aim of the project is to harness the significant amounts of data collected as part of the Centre of Tropical Crops and Biocommodities (CTCB) research on populations of tropical pulses, specifically mung beans. A nested association mapping population of mung beans, generated by QUT researchers in CTCB, has the potential to provide substantial information to growers, researchers, farmers, seed distribution companies and breeders. The data collection includes physiological data, data on response to stress, and abiotic and biotic information.
The project also aims to publically share a significant resource collection of sequencing and phenotyping data from a unique nested association mapping population. The data collections will be made available through either an open source database system or a website hosted on the QUT website.