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Industrial Transformation Research Hubs - Grant ID: IH130200027

Title
Industrial Transformation Research Hubs - Grant ID: IH130200027
Funding
ARC | Industrial Transformation Research Hubs
Contract (GA) number
IH130200027
Start Date
2013/01/01
End Date
2018/12/31
Open Access mandate
no
Organizations
-
More information
http://purl.org/au-research/grants/arc/IH130200027

 

  • The impact of drought on wheat leaf cuticle properties

    Bi, Huihui; Kovalchuk, Nataliya; Langridge, Peter; Tricker, Penny J.; Lopato, Sergiy; Borisjuk, Nikolai (2017)
    Projects: ARC | Industrial Transformation Research Hubs - Grant ID: IH130200027 (IH130200027)
    Background The plant cuticle is the outermost layer covering aerial tissues and is composed of cutin and waxes. The cuticle plays an important role in protection from environmental stresses and glaucousness, the bluish-white colouration of plant surfaces associated with cuticular waxes, has been suggested as a contributing factor in crop drought tolerance. However, the cuticle structure and composition is complex and it is not clear which aspects are important in determining a role in drought...

    Early Flowering as a Drought Escape Mechanism in Plants: How Can It Aid Wheat Production?

    Shavrukov, Yuri; Kurishbayev, Akhylbek; Jatayev, Satyvaldy; Shvidchenko, Vladimir; Zotova, Lyudmila; Koekemoer, Francois; de Groot, Stephan; Soole, Kathleen; Langridge, Peter (2017)
    Projects: ARC | Industrial Transformation Research Hubs - Grant ID: IH130200027 (IH130200027)
    Drought escape (DE) is a classical adaptive mechanism which involves rapid plant development to enable the completion of the full life-cycle prior to a coming drought event. This strategy is widely used in populations of native plants, and is also applicable to cereal crops such as wheat. Early flowering time and a shorter vegetative phase can be very important for wheat production in conditions of terminal drought since this can minimize exposure to dehydration during the sensitive flowering...

    Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging

    Khan, Zohaib; Rahimi-Eichi, Vahid; Haefele, Stephan; Garnett, Trevor; Miklavcic, Stanley J. (2018)
    Projects: ARC | Industrial Transformation Research Hubs - Grant ID: IH130200027 (IH130200027)
    Background Unmanned aerial vehicles offer the opportunity for precision agriculture to efficiently monitor agricultural land. A vegetation index (VI) derived from an aerially observed multispectral image (MSI) can quantify crop health, moisture and nutrient content. However, due to the high cost of multispectral sensors, alternate, low-cost solutions have lately received great interest. We present a novel method for model-based estimation of a VI using RGB color images. The non-linear spatio-...

    Quantitative Estimation of Wheat Phenotyping Traits Using Ground and Aerial Imagery

    Khan, Zohaib; Chopin, Joshua; Cai, Jinhai; Eichi, Vahid-Rahimi; Haefele, Stephan; Miklavcic, Stanley J. (2018)
    Projects: ARC | Industrial Transformation Research Hubs - Grant ID: IH130200027 (IH130200027), ARC | Linkage Projects - Grant ID: LP140100347 (LP140100347)
    This study evaluates an aerial and ground imaging platform for assessment of canopy development in a wheat field. The dependence of two canopy traits, height and vigour, on fertilizer treatment was observed in a field trial comprised of ten varieties of spring wheat. A custom-built mobile ground platform (MGP) and an unmanned aerial vehicle (UAV) were deployed at the experimental site for standard red, green and blue (RGB) image collection on five occasions. Meanwhile, reference field measure...
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