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

New Phytologist - Tập 198 Số 3 - Trang 801-820 - 2013
Karine Chenu1,2, Reza Deihimfard1,3, Scott Chapman4
1Agri‐Science Queensland DAFF, QPI&F, APSRU 203 Tor Street Toowoomba Queensland 4350 Australia
2The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), 203 Tor Street, Toowoomba, Queensland 4350, Australia
3Department of Agroecology, Environmental Sciences Research Institute, Shahid Beheshti University, G.C, Tehran, Iran
4CSIRO, Plant Industry, Queensland Bioscience Precinct, 306 Carmody Road, St. Lucia, Queensland 4067, Australia

Tóm tắt

Summary 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.

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Tài liệu tham khảo

10.1016/j.agwat.2005.07.014

10.1071/A97035

10.1126/science.1164363

10.1093/jxb/erq201

Borlaug NE, 2005, In the wake of the double helix: from the green revolution to the gene revolution, 3

10.1007/s001220051410

10.1007/BF00022843

10.1016/j.fcr.2010.07.012

10.1016/j.fcr.2004.07.003

10.2134/agronj2003.9900

10.1007/s10681-007-9623-z

10.1071/AR99021

10.1071/AR99022

10.2134/agronj1993.00021962008500030038x

Chapman SC, 2002, Quantitative genetics, genomics and plant breeding, 167, 10.1079/9780851996011.0167

10.1071/AR07380

10.1111/j.1469-8137.2005.01350.x

10.1534/genetics.109.105429

10.1093/jxb/erq459

10.1111/j.1469-8137.2007.02123.x

10.1071/FP08057

10.1104/pp.108.118117

ComstockRE1977.Quantitative genetics and the design of breeding programs. In:PollackE KempthorneO BaileyTB eds. Proceedings of the international conference on quantitative genetics. Iowa State University. Press Ames USA 705–718.

Cooper M, 1996, Environmental characterization based on probe and reference genotypes, Plant adaptation and crop improvement, 529

10.1007/BF00221995

10.1038/nclimate1452

Daniells I, 2002, Profile descriptions: district guidelines for managing soils in north‐west NSW

10.1016/j.fcr.2006.07.005

10.1071/CP10344

10.1093/jxb/erq152

10.1016/j.tplants.2011.09.005

10.1111/j.1469-8137.2005.01609.x

10.1016/j.tplants.2006.10.006

10.1007/1-4020-5906-X_5

10.2135/cropsci2008.04.0227

10.1017/S0021859607006855

IPCC, 2007, Synthesis report. Contribution of working groups I, II and III to the fourth assessment report of the intergovernmental panel on climate change

10.1016/S1364-8152(01)00008-1

10.1016/S1161-0301(02)00108-9

10.1016/j.fcr.2009.06.008

10.1300/J411v14n01_11

10.1016/j.fcr.2011.03.010

10.2135/cropsci2004.0370

10.1016/j.agsy.2009.11.001

10.1071/FP06055

10.1071/CP10318

10.1093/jxb/erq329

Muchow RC, 1996, Plant adaptation and crop improvement, 349

10.1073/pnas.0707193104

10.1046/j.1439-0523.1999.118001017.x

10.1071/AR01002

R Development Core Team, 2011, R: a language and environment for statistical computing

10.1071/FP12180

10.2135/cropsci2002.7390

10.1016/S1364-8152(98)00081-4

10.1016/0378-4290(91)90033-R

10.1071/FP09219

10.1016/0378-4290(93)90095-5

10.1071/CP11321

10.1071/AR06376

10.1111/j.1744-7348.2003.tb00237.x

SnapeJW2004.Challenges of integrating conventional breeding and biotechnology: a personal view!In: Proceedings of the 4th international crop science congress. Brisbane Australia 26 September‐1 October 2004:http://www.cropscience.org.au/icsc2004/plenary/3/1394_snapejw.htm.

10.1038/384252a0

10.1093/jxb/err269

10.2135/cropsci2001.4151461x

10.2135/cropsci2003.1698

10.1007/s00122-005-0204-z

10.2135/cropsci2005.0170

10.1016/S1161-0301(02)00100-4

Williams JH, 2002, Agro‐ecological regions of Australia. Methodologies for their derivation and key issues in resource management

10.1111/j.1365-2486.2012.02724.x

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New Phytologist

Tập 198 Số 3

801-820

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