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Potential role of 3D modelling of canopy architecture to explore G x E x M interactions in wheat
Citation
Evers, JB and Moeller, CN and Hanan, J, Potential role of 3D modelling of canopy architecture to explore G x E x M interactions in wheat, Proceedings of the 17th Australian Society of Agronomy Conference, 20-24 September 2015, Hobart, Australia, pp. 1-4. (2015) [Refereed Conference Paper]
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Copyright Statement
Copyright 2015 the author
Official URL: http://www.agronomyaustralia.org/
Abstract
The potential yield of a crop in a specific environment depends on its canopy architecture, which refers to the
dynamic changes in size, orientation and spatial arrangement of leaves and other plant organs over time, as
driven by the underlying physiology. Canopy architecture is increasingly viewed as a trait to be manipulated
by plant breeders as it influences how plants capture resources. However, selection for specific architectural
traits has been elusive, partly because architecture is only one of many traits affecting yield and partly
because effects of architecture on resource capture are hard to quantify. Advances in modelling of plant
architecture and physiological functions using functional-structural plant (FSP) models allow for feedbacks
between environmental factors, architecture, and selected physiological processes to be explored. As an
example, an FSP model of spring wheat was developed to dynamically simulate the architecture of an
expanding wheat crop, taking into account growth and development, size, shape and orientation in space of
each organ in relation to thermal time. Here, we show how this model can be used to assess the effects of
different planting arrangements (row and grid configurations) on light intercepted by a wheat canopy. We
conclude that FSP models could assist in exploring contributions of architectural traits to crop performance
to improve understanding of G x E x M interactions.
Item Details
Item Type: | Refereed Conference Paper |
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Research Division: | Agricultural, Veterinary and Food Sciences |
Research Group: | Agriculture, land and farm management |
Research Field: | Agricultural production systems simulation |
Objective Division: | Plant Production and Plant Primary Products |
Objective Group: | Grains and seeds |
Objective Field: | Wheat |
UTAS Author: | Moeller, CN (Dr Carina Moeller) |
ID Code: | 102997 |
Year Published: | 2015 |
Deposited By: | Tasmanian Institute of Agriculture |
Deposited On: | 2015-09-15 |
Last Modified: | 2016-05-09 |
Downloads: | 345 View Download Statistics |
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