Literature DB >> 34326411

The impact of climate change in wheat and barley yields in the Iberian Peninsula.

Virgílio A Bento1, Andreia F S Ribeiro2,3, Ana Russo2, Célia M Gouveia2,4, Rita M Cardoso2, Pedro M M Soares2.   

Abstract

The impact of climate change on wheat and barley yields in two regions of the Iberian Peninsula is here examined. Regression models are developed by using EURO-CORDEX regional climate model (RCM) simulations, forced by ERA-Interim, with monthly maximum and minimum air temperatures and monthly accumulated precipitation as predictors. Additionally, RCM simulations forced by different global climate models for the historical period (1972-2000) and mid-of-century (2042-2070; under the two emission scenarios RCP4.5 and RCP8.5) are analysed. Results point to different regional responses of wheat and barley. In the southernmost regions, results indicate that the main yield driver is spring maximum temperature, while further north a larger dependence on spring precipitation and early winter maximum temperature is observed. Climate change seems to induce severe yield losses in the southern region, mainly due to an increase in spring maximum temperature. On the contrary, a yield increase is projected in the northern regions, with the main driver being early winter warming that stimulates earlier growth. These results warn on the need to implement sustainable agriculture policies, and on the necessity of regional adaptation strategies.
© 2021. The Author(s).

Entities:  

Year:  2021        PMID: 34326411     DOI: 10.1038/s41598-021-95014-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  11 in total

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Review 9.  Wheat.

Authors:  P R Shewry
Journal:  J Exp Bot       Date:  2009       Impact factor: 6.992

10.  Climate variation explains a third of global crop yield variability.

Authors:  Deepak K Ray; James S Gerber; Graham K MacDonald; Paul C West
Journal:  Nat Commun       Date:  2015-01-22       Impact factor: 14.919

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  3 in total

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Journal:  Int J Mol Sci       Date:  2022-06-17       Impact factor: 6.208

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3.  Single-Plant Selection at Ultra-Low Density Enhances Buffering Capacity of Barley Varieties and Landraces to Unpredictable Environments and Improves Their Agronomic Performance.

Authors:  Athanasios L Tsivelikas; Hajer Ben Ghanem; Adil El-Baouchi; Zakaria Kehel
Journal:  Front Plant Sci       Date:  2022-02-18       Impact factor: 5.753

  3 in total

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