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

Chenu, Karine, Deihimfard, Reza and Chapman, Scott C. (2013) Large-scale characterization of drought pattern: a continent-wide modelling approach applied to the Australian wheatbelt spatial and temporal trends. New Phytologist, 198 3: 801-820. doi:10.1111/nph.12192


Author Chenu, Karine
Deihimfard, Reza
Chapman, Scott C.
Title Large-scale characterization of drought pattern: a continent-wide modelling approach applied to the Australian wheatbelt spatial and temporal trends
Journal name New Phytologist   Check publisher's open access policy
ISSN 0028-646X
1469-8137
Publication date 2013-05
Sub-type Article (original research)
DOI 10.1111/nph.12192
Volume 198
Issue 3
Start page 801
End page 820
Total pages 20
Place of publication Oxford, United Kingdom
Publisher Wiley-Blackwell
Collection year 2014
Language eng
Abstract Plant response to drought is complex, so that traits adapted to a specific drought type can confer disadvantage in another drought type. Understanding which type(s) of drought to target is of prime importance for crop improvement. Modelling was used to quantify seasonal drought patterns for a check variety across the Australian wheatbelt, using 123 yr of weather data for representative locations and managements. Two other genotypes were used to simulate the impact of maturity on drought pattern. Four major environment types summarized the variability in drought pattern over time and space. Severe stress beginning before flowering was common (44% of occurrences), with (24%) or without (20%) relief during grain filling. High variability occurred from year to year, differing with geographical region. With few exceptions, all four environment types occurred in most seasons, for each location, management system and genotype. Applications of such environment characterization are proposed to assist breeding and research to focus on germplasm, traits and genes of interest for target environments. The method was applied at a continental scale to highly variable environments and could be extended to other crops, to other drought-prone regions around the world, and to quantify potential changes in drought patterns under future climates.
Keyword Breeding
Drought
Environment characterization
Mega-environment
Modelling
Water deficit
Wheat
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2014 Collection
 
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