Literature DB >> 23425331

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

Karine Chenu1,2, Reza Deihimfard2,3, Scott C Chapman4.   

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.
© 2013 The Authors. New Phytologist © 2013 New Phytologist Trust.

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Substances:

Year:  2013        PMID: 23425331     DOI: 10.1111/nph.12192

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  26 in total

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Journal:  Plant Physiol       Date:  2014-02-25       Impact factor: 8.340

4.  Quantifying Wheat Sensitivities to Environmental Constraints to Dissect Genotype × Environment Interactions in the Field.

Authors:  Boris Parent; Julien Bonneau; Lance Maphosa; Alex Kovalchuk; Peter Langridge; Delphine Fleury
Journal:  Plant Physiol       Date:  2017-05-25       Impact factor: 8.340

5.  Optimized cultivar deployment improves the efficiency and stability of sunflower crop production at national scale.

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Journal:  Theor Appl Genet       Date:  2022-03-16       Impact factor: 5.699

6.  Drought imprints on crops can reduce yield loss: Nature's insights for food security.

Authors:  Peng Fu; Deepak Jaiswal; Justin M McGrath; Shaowen Wang; Stephen P Long; Carl J Bernacchi
Journal:  Food Energy Secur       Date:  2021-09-30       Impact factor: 4.667

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

Authors:  Qunying Luo; Richard Trethowan; Daniel K Y Tan
Journal:  Int J Biometeorol       Date:  2018-06-04       Impact factor: 3.787

8.  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

9.  High-throughput phenotyping of seminal root traits in wheat.

Authors:  Cecile Ai Richard; Lee T Hickey; Susan Fletcher; Raeleen Jennings; Karine Chenu; Jack T Christopher
Journal:  Plant Methods       Date:  2015-03-01       Impact factor: 4.993

10.  Selection for water-soluble carbohydrate accumulation and investigation of genetic × environment interactions in an elite wheat breeding population.

Authors:  Ben Ovenden; Andrew Milgate; Chris Lisle; Len J Wade; Greg J Rebetzke; James B Holland
Journal:  Theor Appl Genet       Date:  2017-08-29       Impact factor: 5.699

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