Literature DB >> 24038882

Characterizing drought stress and trait influence on maize yield under current and future conditions.

Matthew T Harrison1, François Tardieu, Zhanshan Dong, Carlos D Messina, Graeme L Hammer.   

Abstract

Global climate change is predicted to increase temperatures, alter geographical patterns of rainfall and increase the frequency of extreme climatic events. Such changes are likely to alter the timing and magnitude of drought stresses experienced by crops. This study used new developments in the classification of crop water stress to first characterize the typology and frequency of drought-stress patterns experienced by European maize crops and their associated distributions of grain yield, and second determine the influence of the breeding traits anthesis-silking synchrony, maturity and kernel number on yield in different drought-stress scenarios, under current and future climates. Under historical conditions, a low-stress scenario occurred most frequently (ca. 40%), and three other stress types exposing crops to late-season stresses each occurred in ca. 20% of cases. A key revelation shown was that the four patterns will also be the most dominant stress patterns under 2050 conditions. Future frequencies of low drought stress were reduced by ca. 15%, and those of severe water deficit during grain filling increased from 18% to 25%. Despite this, effects of elevated CO2 on crop growth moderated detrimental effects of climate change on yield. Increasing anthesis-silking synchrony had the greatest effect on yield in low drought-stress seasonal patterns, whereas earlier maturity had the greatest effect in crops exposed to severe early-terminal drought stress. Segregating drought-stress patterns into key groups allowed greater insight into the effects of trait perturbation on crop yield under different weather conditions. We demonstrate that for crops exposed to the same drought-stress pattern, trait perturbation under current climates will have a similar impact on yield as that expected in future, even though the frequencies of severe drought stress will increase in future. These results have important ramifications for breeding of maize and have implications for studies examining genetic and physiological crop responses to environmental stresses.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  APSIM; Zea mays; breeding; drought; grain; model; trait; water stress

Mesh:

Year:  2014        PMID: 24038882     DOI: 10.1111/gcb.12381

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  37 in total

1.  Genome-Wide Analysis of Yield in Europe: Allelic Effects Vary with Drought and Heat Scenarios.

Authors:  Emilie J Millet; Claude Welcker; Willem Kruijer; Sandra Negro; Aude Coupel-Ledru; Stéphane D Nicolas; Jacques Laborde; Cyril Bauland; Sebastien Praud; Nicolas Ranc; Thomas Presterl; Roberto Tuberosa; Zoltan Bedo; Xavier Draye; Björn Usadel; Alain Charcosset; Fred Van Eeuwijk; François Tardieu
Journal:  Plant Physiol       Date:  2016-07-19       Impact factor: 8.340

Review 2.  Genetic and physiological controls of growth under water deficit.

Authors:  François Tardieu; Boris Parent; Cecilio F Caldeira; Claude Welcker
Journal:  Plant Physiol       Date:  2014-02-25       Impact factor: 8.340

3.  Effects of biofertilizers and iron nano-oxide on maize yield and physiological properties under optimal irrigation and drought stress conditions.

Authors:  Siamak Eliaspour; Raouf Seyed Sharifi; Ali Shirkhani; Salim Farzaneh
Journal:  Food Sci Nutr       Date:  2020-09-25       Impact factor: 2.863

4.  Pore size regulates operating stomatal conductance, while stomatal densities drive the partitioning of conductance between leaf sides.

Authors:  Dimitrios Fanourakis; Habtamu Giday; Rubén Milla; Roland Pieruschka; Katrine H Kjaer; Marie Bolger; Aleksandar Vasilevski; Adriano Nunes-Nesi; Fabio Fiorani; Carl-Otto Ottosen
Journal:  Ann Bot       Date:  2014-12-22       Impact factor: 4.357

5.  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

6.  Melatonin improves nitrogen metabolism during grain filling under drought stress.

Authors:  Liang Cao; Bin Qin; Zhenping Gong; Yuxian Zhang
Journal:  Physiol Mol Biol Plants       Date:  2022-08-19

7.  Ovary Apical Abortion under Water Deficit Is Caused by Changes in Sequential Development of Ovaries and in Silk Growth Rate in Maize.

Authors:  Vincent Oury; François Tardieu; Olivier Turc
Journal:  Plant Physiol       Date:  2015-11-23       Impact factor: 8.340

8.  Is Change in Ovary Carbon Status a Cause or a Consequence of Maize Ovary Abortion in Water Deficit during Flowering?

Authors:  Vincent Oury; Cecilio F Caldeira; Duyên Prodhomme; Jean-Philippe Pichon; Yves Gibon; François Tardieu; Olivier Turc
Journal:  Plant Physiol       Date:  2016-04-19       Impact factor: 8.340

Review 9.  In pursuit of a better world: crop improvement and the CGIAR.

Authors:  Jana Kholová; Milan Oldřich Urban; James Cock; Jairo Arcos; Elizabeth Arnaud; Destan Aytekin; Vania Azevedo; Andrew P Barnes; Salvatore Ceccarelli; Paul Chavarriaga; Joshua N Cobb; David Connor; Mark Cooper; Peter Craufurd; Daniel Debouck; Robert Fungo; Stefania Grando; Graeme L Hammer; Carlos E Jara; Charlie Messina; Gloria Mosquera; Eileen Nchanji; Eng Hwa Ng; Steven Prager; Sindhujan Sankaran; Michael Selvaraj; François Tardieu; Philip Thornton; Sandra P Valdes-Gutierrez; Jacob van Etten; Peter Wenzl; Yunbi Xu
Journal:  J Exp Bot       Date:  2021-07-10       Impact factor: 6.992

10.  Protein profiles reveal diverse responsive signaling pathways in kernels of two maize inbred lines with contrasting drought sensitivity.

Authors:  Liming Yang; Tingbo Jiang; Jake C Fountain; Brian T Scully; Robert D Lee; Robert C Kemerait; Sixue Chen; Baozhu Guo
Journal:  Int J Mol Sci       Date:  2014-10-20       Impact factor: 5.923

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