plant stress

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.

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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 at The Plant Accelerator® 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.

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High-throughput phenotyping at The Plant Accelerator®

 

 

Travel grant opportunity to attend the 34th Annual Root Biology Symposium

IPPN Root Phenotyping Working Group
Travel Grant for Researchers Using Phenotyping
IPG 2017, 34th Annual Root Biology Symposium
Columbia, Missouri, USA
7-9 June 2017

The IPPN Root Phenotyping Working Group (RPWG) encourages mobility among researchers and enhances international contacts between research groups. With this sponsorship grant RPWG  supports participation of Early Career Researchers at the IPG 2017, 34th Annual Root Biology Symposium.

  • Up to four grants of 500 EUR per researcher can be awarded.
  • 1 May 2017

Conditions:

  • You are affiliated with a university or a research institution and you are an early career scientist, PhD student, or postdoc who finished his PhD no later than ten years ago.
  • Please fill in the travel grant application and submit it to Saoirse Tracy.
  • The applications will be evaluated by the RPWG Board.

Last chance to secure an internship – apps close tomorrow!

This is your chance to investigate your plant science questions with the support of the highly skilled Australian Plant Phenomics Facility (APPF) team and the incredible technology and infrastructure we have available.

Internships are offered at the APPF in Adelaide and Canberra for enthusiastic, highly motivated postgraduate students with a real interest in our research and technology. Current postgraduate students in the following areas are encouraged to apply:

  • Agriculture
  • Bioinformatics
  • Biology
  • Biotechnology
  • Computer Science
  • Genetics
  • Mathematics
  • Plant physiology
  • Science
  • Software engineering
  • Statistics

Interstate students are strongly encouraged to apply!

We offer postgraduate internship grants which, in general, comprise:

  • $1,500 maximum towards accommodation in Adelaide or Canberra, if required
  • $500 maximum towards travel / airfare, if required
  • $10,000 maximum toward infrastructure use

The APPF has identified a number of priority research areas, each reflecting a global challenge and the role that advances in plant biology can play in providing a solution:

  • Tolerance to abiotic stress
  • Improving resource use efficiency in plants
  • Statistics and biometry
  • Application of mechatronic engineering to plant phenotyping
  • Application of image analysis techniques to understanding plant form and function

Students proposing other topics will also be considered.

APPF postgraduate internship grants involve access to the facility’s phenotyping capabilities to undertake collaborative projects and to work as an intern with the APPF team to learn about experimental design, image and data analysis in plant phenomics.

Selection is based on merit. Applications are assessed on the basis of academic record, research experience and appropriateness of the proposed research topic. Interviews may be conducted.

Postgraduate students are encouraged to contact APPF staff prior to submitting their application to discuss possible projects.

APPLICATIONS CLOSE:  31 March 2017. For further information click here.

 

Why apply for an internship with the APPF?

Well, aside from the fact we are a pretty nice bunch…

PhD student Rohan Riley, from Western Sydney University, undertook his research at APPF’s Adelaide node (The Plant Accelerator®) after being awarded a Postgraduate Student Internship Grant with us in 2015.

His research attempted to explain the unpredictability of plant growth responses in terms of resource limitation by introducing fungal communities to plants which are isolated from soils containing high or low levels of salinity and analysing the effects on plant stress at the phenotypic level.

This is what he had to say about his experience:

”Using daily phenotyping following the application of salt stress and controlled watering-to-weight in The Plant Accelerator® allowed for an unprecedented resolution and range of plant genetic changes in response to combinations of nutrient level, salinity and two different fungal communities that would not otherwise be achievable in a regular greenhouse,” said Rohan.

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”As a PhD student with limited experience in greenhouse experiments, the highly controlled growth conditions, large-scale automation, digital imaging and software technology (high-throughput phenotyping) at The Plant Accelerator® provided me with the work-space, expertise and technical support to make a complicated experiment possible.”

“It has been an amazing experience to conduct this experiment at The Plant Accelerator®. I am walking away from the facility with a big smile on my face, an incredible dataset for my PhD research and invaluable experience in greenhouse based plant research.”

To find out more about Rohan’s research:  https://www.researchgate.net/profile/Rohan_Riley

It’s a date! 5th International Plant Phenotyping Symposium, 2-5 October 2018

The Australian Plant Phenomics Facility is thrilled to announce the dates for the 5th International Plant Phenotyping Symposium (IPPS) will be 2-5 October 2018!

We look forward to welcoming the international plant phenotyping community to the host city, Adelaide, South Australia, where you will get the full Australian experience all in one state. From cage diving to fine dining, there’s a wine barrel full of reasons why South Australia was named as one of Lonely Planet’s best regions to visit in 2017! Find out more about this vibrant city before you arrive here.

We will post more details about the symposium as they come to hand – make sure you have elected to follow our blog! – and on the Australian Plant Phenomics Facility‘s website.

Adelaide

2018 Host City, Adelaide, South Australia   (Image source: South Australian Tourism Commission)

 

Major investment in plant root phenotyping to answer key questions

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3-D image of root architecture – Lynch Laboratory, The Pennsylvania State University, USA

It all starts in the roots

Australian agriculture operates in a largely harsh, resource limited (nutrients, water) environment so the role of plant roots is even more vital to crop performance.

While advances in technology have resulted in a tenfold increase in crop productivity over the past century, soil quality has declined. Advanced root systems that increase soil organic matter can improve soil structure, fertiliser efficiency, water productivity, crop yield and climate resilience, while mitigating topsoil erosion — all of which provide near-term and sustained economic value.

It is acknowledged within the international plant science and phenotyping community that root phenotyping is a critical component for crop improvement, but no ideal hardware solution has been developed yet. There is always a compromise between destructive and non-destructive measurement, throughput and resolution, and ultimately, cost.

Recognition of these challenges and increased research investment to find the answers is now coming to the fore in international plant science.

USD $7 million for plant root research granted

Researchers in Penn State’s College of Agricultural Sciences have just received a USD $7 million grant from the U.S. Department of Energy’s Advanced Research Projects Agency-Energy, or ARPA-E, to design a low-cost, integrated system that can identify and screen for high-yielding, deeper-rooted crops.

The interdisciplinary team, led by Jonathan Lynch, distinguished Professor of Plant Nutrition, will combine a suite of technologies designed to identify phenotypes and genes related to desirable root traits, with the goal of enhancing the breeding of crop varieties better adapted for nitrogen and water acquisition and carbon sequestration.

“With ARPA-E’s support, we plan to create DEEPER, a revolutionary phenotyping platform for deeper-rooted crops, which will integrate breakthroughs in non-destructive field phenotyping of rooting depth, root modeling, robotics, high-throughput 3D imaging of root architecture and anatomy, gene discovery, and genomic selection modeling,” Lynch said.

“ARPA-E invests in programs that draw on a broad set of disciplines and require the bold thinking we need to build a better energy future,” said ARPA-E Director, Ellen D. Williams.

The project is part of ARPA-E’s Rhizosphere Observations Optimizing Terrestrial Sequestration, or ROOTS, program, which is aimed at developing crops that enable a 50 percent increase in carbon deposition depth and accumulation, while also reducing nitrous oxide emissions (a contributor to greenhouse gas) by 50 percent and increasing water productivity by 25 percent.

Read the full article, by Charles Gill from The Pennsylvania State University, here.

UDC Plant Science Centre

Through a € 1.3m investment from Science Foundation Ireland, the Integrated Plant Phenomics and Future Experimental Climate Platform has been established at University College Dublin (UCD) in Ireland. The combination of infrastructure and facilities available to researchers will represent the first of its kind globally.

The platform will be housed in the same building at UCD allowing seamless transition from experiment to scanner. It will consist of a large capacity 3D X-ray CT scanner which uses X-rays taken from multiple angles to non-destructively build-up a 3D image of whole plants and their internal structures, both above and below ground with fast (minutes) scan times and six reach-in, high-spec plant climate chambers with full (de)humidification capabilities. Novel custom additions will include full-spectrum variable LEDs, enabling more accurate representation of sunlight conditions experienced by crops under field conditions. The chambers will integrate thermal imaging to continuously capture leaf temperature and inferred ecophysiological processes (gas exchange).

Breakthroughs in crop/plant/soil/food science will be possible, particularly below ground and at night, because the consequences of climate change or new crop breeds on below-ground /night-time processes have not been readily accessible before the advance of X-ray CT, thermal imaging and integration of these components into an infrastructure platform.

The Centre unites a large number of UCD plant scientists that investigate fundamental and applied aspects of plant science and work alongside industry in exploiting research breakthroughs.

Read more here.

Danforth Plant Science Center

A new industrial-scale X-ray Computed Tomography (X-ray CT) system at the Danforth Plant Science Center in Missouri, USA, is the first of its kind in the U.S. academic research sector dedicated to plant science and can provide accelerated insight into how root systems affect plant growth. The technology was established in late July 2016 under a collaborative multi-year Master Cooperation Agreement with Valent BioSciences Corporation (VBC) and is also supported with funds from a recent National Science Foundation grant.

“X-ray imaging has been a mainstay in medical and industrial research and diagnostics for many decades, yet it is rarely used in plant science,” said Chris Topp, Ph.D., assistant member of the Danforth Center and principal investigator for the project. “The X-ray CT system will allow us to ‘see’ roots in soil and study plants as a connected system of roots and shoots growing in diverse environments.”

“This system is unlike any other in the United States,” said said Keith Duncan, research scientist in the Topp Lab and manager of the new system. “It gives us a great deal of control over the X-ray conditions and will allow us to gather structural data on any object we put into the machine. It provides us with an internal look at not only the root systems, but what’s going on inside the stem and other parts of the plant without taking invasive measures such as removing the plant from the ground or cutting into it.”

In addition to grain crops, this project will also advance research in root and tuber crops such as cassava, potato, groundnut and others that are important for food security in many regions around the globe, but are especially hard to study.

The project combines state-of-the-art technology with computational analysis, quantitative genetics and molecular biology to understand root growth and physiology to assist researchers in understanding roots as they grow in real time in real soil. Both Topp and Duncan agree, this collaboration is just the tip of the iceberg.

“I expect that in a short time, the X-ray imager will catalyze numerous research projects among Danforth Center, St. Louis, national and international researchers that were previously not possible,” said Chris Topp, Ph.D., assistant member of the Danforth Center and principal investigator for the project.

Read more here. Learn more about the partnership and X-ray system here.

Hounsfield Facility for Rhizosphere Research

The Hounsfield Facility for Rhizosphere Research is a unique platform established with €3.5 million in funding from the European Research Council, the Wolfson Foundation, BBSRC, and the University of Nottingham. It accommodates ERC funded postdoctoral researchers and PhD students, X-ray imaging research equipment and automated growth facilities in one state-of-the-art building and fully automated greenhouse complex.

A key impediment to genetic analysis of root architecture in crops has been the ability to image live roots in soil non-invasively. Recent advances in microscale X-ray Computed Tomography (μCT) now permit root phenotyping. However, major technical and scientific challenges remain before μCT can become a high throughput phenotyping approach.

This unique high throughput root phenotyping facility exploits recent advances in μCT imaging, biological image analysis, wheat genetics and mathematical modelling to pinpoint the key genes that control root architecture and develop molecular markers and new crop varieties with improved nutrient and water uptake efficiency.

The facility’s ambitious multi-disciplinary research program will be achieved through six integrated work packages. The first 3 work packages were designed create high-throughput μCT (WP1) and image analysis (WP2) tools that will be used to probe variation in root systems architecture within wheat germplasm collections (WP3). Work packages 4-6 will identify root architectures that improve water (WP4) and nitrate uptake efficiencies (WP5) and pinpoint the genes that regulate these traits. In parallel, innovative mathematical models simulating the impact of root architecture and soil properties will be developed as tools to assess the impact of architectural changes on uptake of other nutrients in order to optimise crop performance (WP6).

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The Hounsfield Facility for Rhizosphere Research, University of Nottingham, UK

 

More salad please!

With indoor-vertical farming on the rise, lettuce production can be customised more than ever, by choosing the right varieties, temperature, lighting and nutrient supply to produce the leaves consumers want. Achieving this goal requires optimisation of numerous components and a recent collaborative study between the USA and Australia, published in Frontiers in Plant Science, has proven optical sensors can be used to evaluate lettuce growth, color and health non-destructively.

The research team, Ivan Simko and Ryan Hayes from the US Department of Agriculture and Robert Furbank from the ARC Centre of Excellence for Translational Photosynthesis and formerly Australian Plant Phenomics Facility – High Resolution Plant Phenomics Centre, designed the study to test the feasibility of using optical sensors for physiological evaluation of lettuce plants in early stages of their development. The method developed can help in breeding programs and optimising farming practices to meet the requirements of an increasingly demanding market.

Read the full study, Non-destructive phenotyping of lettuce plants in early stages of development with optical sensors, published in Frontiers in Plant Science, here.

Or read the abstract here:

Abstract

Rapid development of plants is important for the production of ‘baby-leaf’ lettuce that is harvested when plants reach the four- to eight-leaf stage of growth. However, environmental factors, such as high or low temperature, or elevated concentrations of salt, inhibit lettuce growth. Therefore, non-destructive evaluations of plants can provide valuable information to breeders and growers. The objective of the present study was to test the feasibility of using non-destructive phenotyping with optical sensors for the evaluations of lettuce plants in early stages of development. We performed the series of experiments to determine if hyperspectral imaging and chlorophyll fluorescence imaging can determine phenotypic changes manifested on lettuce plants subjected to the extreme temperature and salinity stress treatments. Our results indicate that top view optical sensors alone can accurately determine plant size to approximately 7 g fresh weight.

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Comparison of the size and the colour of plants cultivated at optimal (OPT), low (COLD) and high (HOT) temperatures (experiment 3). Plants were initially grown at OPT for 10 days and the either continuously kept in OPT or transferred to COLD or HOT for 8 days. Sides of the square pots are 68mm long.

Hyperspectral imaging analysis was able to detect changes in the total chlorophyll (RCC) and anthocyanin (RAC) content, while chlorophyll fluorescence imaging revealed photoinhibition and reduction of plant growth caused by the extreme growing temperatures (3 and 39°C) and salinity (100 mM NaCl). Though no significant correlation was found between Fv/Fm and decrease in plant growth due to stress when comparisons were made across multiple accessions, our results indicate that lettuce plants have a high adaptability to both low (3°C) and high (39°C) temperatures, with no permanent damage to photosynthetic apparatus and fast recovery of plants after moving them to the optimal (21°C) temperature. We have also detected a strong relationship between visual rating of the green- and red-leaf color intensity and RCC and RAC, respectively. Differences in RAC among accessions suggest that the selection for intense red color may be easier to perform at somewhat lower than the optimal temperature.

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Genomic position of the quantitative trail locus (QTL) for light green colour (qLG4) on linkage group 4. Visual rating of the green colour intensity was performed on adult plants in field, while the relative chlorophyll content (RCC) was determined from hyperspectral reflectance measured on cotyledons of seedlings cultivated in plastic boxes (experiment 7). The orange line parallel with the linkage map shows the significance threshold (a = 0.05). The allele for light green colour and low RCC originates from cv. La Brilliante. Detailed description of the linkage map for this population and its construction was published previously (Hayes et al., 2014; Simko et al., 2015b). Distance in cM is shown on the right site of the linkage map. LOD, logarithm of odds.

This study serves as a proof of concept that optical sensors can be successfully used as tools for breeders when evaluating young lettuce plants. Moreover, we were able to identify the locus for light green leaf color (qLG4), and position this locus on the molecular linkage map of lettuce, which shows that these techniques have sufficient resolution to be used in a genetic context in lettuce.

Citation

Simko I, Hayes RJ and Furbank RT (2016) Non-destructive Phenotyping of Lettuce Plants in Early Stages of Development with Optical Sensors. Front. Plant Sci. 7:1985. doi: 10.3389/fpls.2016.01985

 

 

Getting to the root of the problem wins

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Congratulations to Olivia Cousins, one of the Adelaide-Nottingham PhD students, who won the student poster prize at a joint conference between Soil Science Australia and New Zealand Soil Science Society, held in Queenstown, NZ recently.

Olivia’s poster, which included co-authors from The University of Adelaide, The University of Nottingham and The Plant Accelerator® at the Australian Plant Phenomics Facility, was one of approximately 100 posters presented at the conference. The award also includes a cash prize for Olivia.

We announced Olivia’s study here in our blog in May. The aim of her study was to quantify the impact of different soil moisture regimes and increasing levels of soil nitrogen supply on shoot and root response in wheat plants. Olivia’s experiment utilised the DroughtSpotter, a precision irrigation platform allowing accurate and reproducible water application for drought stress or related experiments. She also used the facility’s PlantEye laser scanner to non-destructively measure plant growth.

Olivia plans an exciting move to Nottingham in 2018 to continue her research including root traits and responses across different wheat species.

To view Olivia’s poster… soilecology.org/conference-posters.

The Australian Plant Phenomics Facility is available to all researchers and/or industry. For bookings please contact Dr Trevor Garnett.