crop productivity

An exciting offer of help for significant plant science research projects

Do you have an exceptional plant science research project destined to deliver high impact outcomes for Australian agriculture? Do you need access to plant phenotyping capabilities?

The Phenomics Infrastructure for Excellence in Plant Science (PIEPS) scheme is open to all publicly funded researchers. Emphasis is placed on novel collaborations that bring together scientists preferably from different disciplines (e.g. plant physiology, computer science, engineering, biometry, quantitative genetics, molecular biology, chemistry, physics) and from different organisations, within Australia or internationally, to focus on problems in plant science.

The PIEPS scheme involves access to phenotyping capabilities at the Australian Plant Phenomics Facility (APPF) at a reduced cost to facilitate exceptional research projects. Researchers will work in partnership with the APPF to determine experimental design and optimal use of the equipment. Our team includes experts in agriculture, plant physiology, biotechnology, genetics, horticulture, image and data analysis, mechatronic engineering, computer science, software engineering, mathematics and statistics.

Applications are assessed in consultation with the APPF’s independent Scientific Advisory Board. Selection is based on merit.

This is an outstanding opportunity to gain access to invaluable expertise and cutting edge technology to accelerate your research project and make a real impact in plant science discovery.

Applications close:  30 September 2017

For more information and to apply:  APPF Phenomics Infrastructure for Excellence in Plant Science (PIEPS)



Taking the kinks out of curves

In a recent paper, researchers have developed a methodology suitable for analyzing the growth curves of a large number of plants from multiple families. The corrected curves accurately account for the spatial and temporal variations among plants that are inherent to high-throughput experiments.


An example of curve registration.  a The salinity sensitivity (SS) curves of the 16 functions from an arbitrary family, b SS curves after the curve registration, and c the corresponding time-warping functions. The salinity sensitivity on the y-axis of a and b refers to the derivative of the relative decrease in plant biomass


Advanced high-throughput technologies and equipment allow the collection of large and reliable data sets related to plant growth. These data sets allow us to explore salt tolerance in plants with sophisticated statistical tools.

As agricultural soils become more saline, analysis of salinity tolerance in plants is necessary for our understanding of plant growth and crop productivity under saline conditions. Generally, high salinity has a negative effect on plant growth, causing decreases in productivity.  The response of plants to soil salinity is dynamic, therefore requiring the analysis of growth over time to identify lines with beneficial traits.

In this paper the researchers, led by KAUST and including Dr Bettina Berger and Dr Chris Brien from the Australian Plant Phenomics Facility (APPF), use a functional data analysis approach to study the effects of salinity on growth patterns of barley grown in the high-throughput phenotyping platform at the APPF. The method presented is suitable to reduce the noise in large-scale data sets and thereby increases the precision with which salinity tolerance can be measured.

Read the full paper, “Growth curve registration for evaluating salinity tolerance in barley” (DOI: 10.1186/s13007-017-0165-7) here.

Find out how the Australian Plant Phenomics Facility can support your plant science research here.


High-throughput phenotyping in the Smarthouse™ at the Adelaide node of the APPF

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Barley plants growing in the Smarthouse™