Literature DB >> 27471781

Modelling impacts of climate change on arable crop diseases: progress, challenges and applications.

Fay Newbery1, Aiming Qi2, Bruce Dl Fitt3.   

Abstract

Combining climate change, crop growth and crop disease models to predict impacts of climate change on crop diseases can guide planning of climate change adaptation strategies to ensure future food security. This review summarises recent developments in modelling climate change impacts on crop diseases, emphasises some major challenges and highlights recent trends. The use of multi-model ensembles in climate change modelling and crop modelling is contributing towards measures of uncertainty in climate change impact projections but other aspects of uncertainty remain largely unexplored. Impact assessments are still concentrated on few crops and few diseases but are beginning to investigate arable crop disease dynamics at the landscape level.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2016        PMID: 27471781     DOI: 10.1016/j.pbi.2016.07.002

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  12 in total

Review 1.  Trichoderma for climate resilient agriculture.

Authors:  Prem Lal Kashyap; Pallavi Rai; Alok Kumar Srivastava; Sudheer Kumar
Journal:  World J Microbiol Biotechnol       Date:  2017-07-10       Impact factor: 3.312

2.  Nonhomologous end joining as key to CRISPR/Cas-mediated plant chromosome engineering.

Authors:  Fabienne Gehrke; Angelina Schindele; Holger Puchta
Journal:  Plant Physiol       Date:  2022-03-28       Impact factor: 8.340

Review 3.  A Perspective on CRN Proteins in the Genomics Age: Evolution, Classification, Delivery and Function Revisited.

Authors:  Tiago M M M Amaro; Gaëtan J A Thilliez; Graham B Motion; Edgar Huitema
Journal:  Front Plant Sci       Date:  2017-02-03       Impact factor: 5.753

4.  Plant pathogen responses to Late Pleistocene and Holocene climate change in the central Atacama Desert, Chile.

Authors:  Jamie R Wood; Francisca P Díaz; Claudio Latorre; Janet M Wilmshurst; Olivia R Burge; Rodrigo A Gutiérrez
Journal:  Sci Rep       Date:  2018-11-21       Impact factor: 4.379

5.  Forecasting severe grape downy mildew attacks using machine learning.

Authors:  Mathilde Chen; François Brun; Marc Raynal; David Makowski
Journal:  PLoS One       Date:  2020-03-12       Impact factor: 3.240

6.  Studies on the mechanism of agricultural chemicals focused on plant hormone signals.

Authors:  Miyuki Kusajima
Journal:  J Pestic Sci       Date:  2019-07-25       Impact factor: 1.519

7.  Climate change and disease in plant communities.

Authors:  Jeremy J Burdon; Jiasui Zhan
Journal:  PLoS Biol       Date:  2020-11-24       Impact factor: 8.029

Review 8.  Engineering crops of the future: CRISPR approaches to develop climate-resilient and disease-resistant plants.

Authors:  Syed Shan-E-Ali Zaidi; Ahmed Mahas; Hervé Vanderschuren; Magdy M Mahfouz
Journal:  Genome Biol       Date:  2020-11-30       Impact factor: 13.583

Review 9.  Cassava brown streak disease: historical timeline, current knowledge and future prospects.

Authors:  Katie R Tomlinson; Andy M Bailey; Titus Alicai; Sue Seal; Gary D Foster
Journal:  Mol Plant Pathol       Date:  2017-12-28       Impact factor: 5.663

10.  To what extent is climate change adaptation a novel challenge for agricultural modellers?

Authors:  R P Kipling; C F E Topp; A Bannink; D J Bartley; I Blanco-Penedo; R Cortignani; A Del Prado; G Dono; P Faverdin; A-I Graux; N J Hutchings; L Lauwers; Ş Özkan Gülzari; P Reidsma; S Rolinski; M Ruiz-Ramos; D L Sandars; R Sándor; M Schönhart; G Seddaiu; J van Middelkoop; S Shrestha; I Weindl; V Eory
Journal:  Environ Model Softw       Date:  2019-10       Impact factor: 5.288

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