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Researcher(s) |
Felicity Harris Sergio Moroni Jessica Simpson |
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Contact email | jess.simpson@dpi.nsw.gov.au |
Year(s) | 2021 |
Contributor | Department of Primary Industries NSW |
Trial location(s) |
Wagga Wagga, ACT
|
Further information | View external link |
The aim of this experiment was to develop a better understanding of cool shock as an environmental trigger for LMA expression under controlled environment conditions.
Please note that the trial was to find out the effect of a cool temperature treatment during grain filling in wheat.
• Late maturity alpha-amylase (LMA) is a genetic defect, commonly observed in Australian wheat breeding germplasm, that can cause low falling numbers (FN) at grain receivals.
• Twenty-four cultivars considered to range in susceptibility to LMA expression were subjected to a simulated ‘cool shock’ temperature treatment under controlled conditions (24 hours of 23 °C day/19 °C night, then 48 hours of 16 °C day/11 °C night)
during a critical period of grain filling and were tested for FN for an indication of LMA expression.
• Under controlled conditions (without ‘cool shock’ temperature treatment), 71% of the cultivars tested exceeded a threshold FN of 250 seconds. In comparison, the effect of the ‘cool shock’ temperature treatment reduced the proportion of cultivars exceeding
the FN threshold to 42%.
• In general, the FN response of the cultivars to the cool shock reflected their anticipated LMA sensitivity. A simulated cool shock treatment under controlled conditions could provide a rapid phenotyping methodology to identify wheat germplasm with high
LMA susceptibility, earlier in a breeding program.
The aim of this experiment was to develop a better understanding of cool shock as an environmental trigger for LMA expression under controlled environment conditions. When subjected to cool shock conditions during the LMA sensitivity window (12–35 DPA) there was a higher incidence of low FN results among cultivars.
Cultivars considered to represent a range in LMA susceptibilities were examined to quantify the effects of genotype (G) × environment (E) on LMA expression. It was found that in most cases, cultivars rated as having nil to low LMA susceptibility maintained their FN when subjected to a cool shock treatment. Cultivars considered as having a high to very high LMA susceptibility were found to be at risk of a low FN under both conditions tested.
The results indicated that a cool shock treatment during the sensitivity window could provide a technique to identify wheat germplasm with high LMA susceptibility earlier in a breeding program. However, direct measurement of LMA levels (e.g. LMA ELISA test) would be preferable given the higher variability of FN results. A sound understanding of genotypic susceptibilities to LMA would be an invaluable tool for informing breeders and growers of LMA risk and the choice of cultivar for growing environments.
Lead research organisation |
Department of Primary Industries NSW |
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Host research organisation | N/A |
Trial funding source | GRDC BLG303 |
Trial funding source | New South Wales DPI |
Related program | N/A |
Acknowledgments |
This experiment was part of the ‘Graduate training program to build research capacity for Southern NSW DPI’ project, BLG303, 2020–21, a joint investment by GRDC and NSW DPI under the Grains Agronomy and Pathology Partnership (GAPP). We sincerely thank Deb Slinger, Denise Pleming, Robert Armstrong, Andries Potgieter, Daryl Mares, and Mary Matthews for their assistance. |
Other trial partners | Not specified |
Crop type | Cereal (Grain): Wheat |
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Treatment type(s) |
|
Trial type | Experimental |
Trial design | Randomised,Replicated,Blocked |
Sow date | Unknown |
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Harvest date | Unknown |
Plot size | Not specified |
Plot replication | Not specified |
Other trial notes |
This research paper is an extract from the publication Southern NSW Research Results 2022, available at |
SILO weather estimates sourced from https://www.longpaddock.qld.gov.au/silo/
Jeffrey, S.J., Carter, J.O., Moodie, K.B. and Beswick, A.R. (2001). Using spatial interpolation to construct a comprehensive archive of Australian climate data , Environmental Modelling and Software, Vol 16/4, pp 309-330. DOI: 10.1016/S1364-8152(01)00008-1.