Journal
JOURNAL OF AGRONOMY AND CROP SCIENCE
Volume 205, Issue 2, Pages 220-234Publisher
WILEY
DOI: 10.1111/jac.12319
Keywords
artificial frost; climate change; fluorescence; hyperspectral reflectance; low temperature; remote sensing; unmanned aerial vehicles
Categories
Funding
- Grains Research and Development Corporation
- Agriculture Victoria, Department of Economic Development, Jobs, Transport and Resources
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Frost can significantly reduce production of field crops grown in Mediterranean-type environments, where significant economic losses for Australian wheat occur annually. If non-destructive sensors could make rapid, spatial assessment of frost damage, this could limit economic losses through timely management decisions. This paper reports on a methodology for imposing frost treatments to wheat under field conditions and the utility of canopy reflectance data for detecting early crop damage. Purpose-built chambers using stepped additions of dry ice allowed for a range of frost scenarios to be tested when applied at wheat heading and anthesis. For frost treatments applied at anthesis, grain number and yield were reduced by 8.8% and 7.2%, respectively, for every degree Celsius below zero (down to -4 degrees C). This effect was additive over two consecutive nights. For cold load equivalent, there was a 2.2% and 1.9% reduction in grain number and yield, respectively, per degrees C hr (below 0 degrees C). For wheat, spectral indices PRI and NDVI (reflectance) and FRF_G and SFR_G (fluorescence) showed significant relationships, with cold load applied for heading treatments. Next steps include targeting frost intensities equivalent to cold loads between 20 and 80 degrees C hr and testing the utility of these proposed indices in a commercial paddock setting.
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