Literature DB >> 29869183

Managing the risk of extreme climate events in Australian major wheat production systems.

Qunying Luo1, Richard Trethowan2, Daniel K Y Tan2.   

Abstract

Extreme climate events (ECEs) such as drought, frost risk and heat stress cause significant economic losses in Australia. The risk posed by ECEs in the wheat production systems of Australia could be better managed through the identification of safe flowering (SFW) and optimal time of sowing (TOS) windows. To address this issue, three locations (Narrabri, Roseworthy and Merredin), three cultivars (Suntop and Gregory for Narrabri, Mace for both Roseworthy and Merredin) and 20 TOS at 1-week intervals between 1 April and 12 August for the period from 1957 to 2007 were evaluated using the Agricultural Production System sIMulator (APSIM)-Wheat model. Simulation results show that (1) the average frequency of frost events decreased with TOS from 8 to 0 days (d) across the four cases (the combination of locations and cultivars), (2) the average frequency of heat stress events increased with TOS across all cases from 0 to 10 d, (3) soil moisture stress (SMS) increased with earlier TOS before reaching a plateau and then slightly decreasing for Suntop and Gregory at Narrabri and Mace at Roseworthy while SMS increased with TOS for Mace at Merredin from 0.1 to 0.8, (4) Mace at Merredin had the earliest and widest SFW (216-260) while Mace at Roseworthy had latest SFW (257-280), (5) frost risk and heat stress determine SFW at wetter sites (i.e. Narrabri and Roseworthy) while frost risk and SMS determine SFW at drier site (i.e. Merredin) and (6) the optimal TOS (window) to maximise wheat yield are 6-20 May, 13-27 May and 15 April at Narrabri, Roseworthy and Merredin, respectively. These findings provide important and specific information for wheat growers about the management of ECE risk on farm. Furthermore, the coupling of the APSIM crop models with state-of-the-art seasonal and intra-seasonal climate forecast information provides an important tool for improved management of the risk of ECEs in economically important cropping industries in the foreseeable future.

Entities:  

Keywords:  Frost risk; Heat stress; Optimal time of sowing; Safe flowering window; Soil moisture stress; The APSIM-Wheat model

Mesh:

Year:  2018        PMID: 29869183     DOI: 10.1007/s00484-018-1568-5

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  5 in total

1.  Environment characterization as an aid to wheat improvement: interpreting genotype-environment interactions by modelling water-deficit patterns in North-Eastern Australia.

Authors:  K Chenu; M Cooper; G L Hammer; K L Mathews; M F Dreccer; S C Chapman
Journal:  J Exp Bot       Date:  2011-03       Impact factor: 6.992

2.  Large-scale characterization of drought pattern: a continent-wide modelling approach applied to the Australian wheatbelt--spatial and temporal trends.

Authors:  Karine Chenu; Reza Deihimfard; Scott C Chapman
Journal:  New Phytol       Date:  2013-02-21       Impact factor: 10.151

3.  Breeding for the future: what are the potential impacts of future frost and heat events on sowing and flowering time requirements for Australian bread wheat (Triticum aestivium) varieties?

Authors:  Bangyou Zheng; Karine Chenu; M Fernanda Dreccer; Scott C Chapman
Journal:  Glob Chang Biol       Date:  2012-06-04       Impact factor: 10.863

4.  The shifting influence of drought and heat stress for crops in northeast Australia.

Authors:  David B Lobell; Graeme L Hammer; Karine Chenu; Bangyou Zheng; Greg McLean; Scott C Chapman
Journal:  Glob Chang Biol       Date:  2015-09-23       Impact factor: 10.863

5.  Frost trends and their estimated impact on yield in the Australian wheatbelt.

Authors:  Bangyou Zheng; Scott C Chapman; Jack T Christopher; Troy M Frederiks; Karine Chenu
Journal:  J Exp Bot       Date:  2015-04-28       Impact factor: 6.992

  5 in total
  1 in total

1.  Simulation of Wheat Response to Future Climate Change Based on Coupled Model Inter-Comparison Project Phase 6 Multi-Model Ensemble Projections in the North China Plain.

Authors:  Huizi Bai; Dengpan Xiao; Bin Wang; De Li Liu; Jianzhao Tang
Journal:  Front Plant Sci       Date:  2022-02-03       Impact factor: 5.753

  1 in total

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