Literature DB >> 19447817

North-South divide: contrasting impacts of climate change on crop yields in Scotland and England.

Michael H Butterworth1, Mikhail A Semenov, Andrew Barnes, Dominic Moran, Jonathan S West, Bruce D L Fitt.   

Abstract

Effects of climate change on productivity of agricultural crops in relation to diseases that attack them are difficult to predict because they are complex and nonlinear. To investigate these crop-disease-climate interactions, UKCIP02 scenarios predicting UK temperature and rainfall under high- and low-CO(2) emission scenarios for the 2020s and 2050s were combined with a crop-simulation model predicting yield of fungicide-treated winter oilseed rape and with a weather-based regression model predicting severity of phoma stem canker epidemics. The combination of climate scenarios and crop model predicted that climate change will increase yield of fungicide-treated oilseed rape crops in Scotland by up to 0.5 t ha(-1) (15%). In contrast, in southern England the combination of climate scenarios, crop, disease and yield loss models predicted that climate change will increase yield losses from phoma stem canker epidemics to up to 50 per cent (1.5 t ha(-1)) and greatly decrease yield of untreated winter oilseed rape. The size of losses is predicted to be greater for winter oilseed rape cultivars that are susceptible than for those that are resistant to the phoma stem canker pathogen Leptosphaeria maculans. Such predictions illustrate the unexpected, contrasting impacts of aspects of climate change on crop-disease interactions in agricultural systems in different regions.

Entities:  

Mesh:

Year:  2009        PMID: 19447817      PMCID: PMC2839380          DOI: 10.1098/rsif.2009.0111

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  11 in total

1.  Climate change and plant disease management.

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Authors:  S Chakraborty; A V Tiedemann; P S Teng
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Authors:  K A Garrett; S P Dendy; E E Frank; M N Rouse; S E Travers
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Authors:  John F Morton
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-06       Impact factor: 11.205

7.  Impacts of climate change on wheat in England and Wales.

Authors:  Mikhail A Semenov
Journal:  J R Soc Interface       Date:  2008-08-05       Impact factor: 4.118

Review 8.  Leptosphaeria maculans, the causal agent of blackleg disease of Brassicas.

Authors:  B J Howlett; A Idnurm; M S Pedras
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Authors:  Jaime Bosch; Luís M Carrascal; Luis Durán; Susan Walker; Matthew C Fisher
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10.  Temperature and leaf wetness duration affect phenotypic expression of Rlm6-mediated resistance to Leptosphaeria maculans in Brassica napus.

Authors:  Yong-Ju Huang; Neal Evans; Zi-Qin Li; Maria Eckert; Anne-Marie Chèvre; Michel Renard; Bruce D L Fitt
Journal:  New Phytol       Date:  2006       Impact factor: 10.151

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Review 3.  Climate change will influence disease resistance breeding in wheat in Northwestern Europe.

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Journal:  Theor Appl Genet       Date:  2021-03-13       Impact factor: 5.699

4.  Identification of environmentally stable QTL for resistance against Leptosphaeria maculans in oilseed rape (Brassica napus).

Authors:  Y J Huang; C Jestin; S J Welham; G J King; M J Manzanares-Dauleux; B D L Fitt; R Delourme
Journal:  Theor Appl Genet       Date:  2015-10-30       Impact factor: 5.699

5.  Post-Adversities Recovery and Profitability: The Case of Italian Farmers.

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6.  Identification and Validation of a Novel Locus Controlling Spikelet Number in Bread Wheat (Triticum aestivum L.).

Authors:  Tao Li; Guangbing Deng; Yanyan Tang; Yan Su; Jinhui Wang; Jie Cheng; Zhao Yang; Xuebing Qiu; Xi Pu; Haili Zhang; Junjun Liang; Maoqun Yu; Yuming Wei; Hai Long
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Review 7.  Disease-Suppressive Soils-Beyond Food Production: a Critical Review.

Authors:  Somasundaram Jayaraman; A K Naorem; Rattan Lal; Ram C Dalal; N K Sinha; A K Patra; S K Chaudhari
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8.  Identification and validation of two major QTLs for spike compactness and length in bread wheat (Triticum aestivum L.) showing pleiotropic effects on yield-related traits.

Authors:  Tao Li; Guangbing Deng; Yan Su; Zhao Yang; Yanyan Tang; Jinhui Wang; Xvebing Qiu; Xi Pu; Jun Li; Zehou Liu; Haili Zhang; Junjun Liang; Wuyun Yang; Maoqun Yu; Yuming Wei; Hai Long
Journal:  Theor Appl Genet       Date:  2021-07-26       Impact factor: 5.699

  8 in total

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