Login | DPI Staff queries on depositing or searching to era.daf.qld.gov.au

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

Share this record

Add to FacebookAdd to LinkedinAdd to XAdd to WechatAdd to Microsoft_teamsAdd to WhatsappAdd to Any

Export this record

View Altmetrics

Chenu, K., Deihimfard, R. and Chapman, S. 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). pp. 801-820. ISSN 1469-8137

Full text not currently attached. Access may be available via the Publisher's website or OpenAccess link.

Article Link: http://dx.doi.org/10.1111/nph.12192

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.

Item Type:Article
Business groups:Crop and Food Science
Keywords:breeding drought environment characterization mega-environment modelling water deficit wheat
Subjects:Agriculture > Agriculture (General) > Agricultural meteorology. Crops and climate
Plant culture > Field crops > Wheat
Live Archive:08 Oct 2014 23:58
Last Modified:03 Sep 2021 16:49

Repository Staff Only: item control page