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  5. Enhancing climate change resilience in agricultural crops

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Article
en
2023

Enhancing climate change resilience in agricultural crops

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0 Files

en
2023
Vol 33 (23)
Vol. 33
DOI: 10.1016/j.cub.2023.10.028

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Kadambot Siddique
Kadambot Siddique

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Yoselin Benitez‐Alfonso
Beth K Soanes
Sibongile Zimba
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Abstract

Climate change threatens global food and nutritional security through negative effects on crop growth and agricultural productivity. Many countries have adopted ambitious climate change mitigation and adaptation targets that will exacerbate the problem, as they require significant changes in current agri-food systems. In this review, we provide a roadmap for improved crop production that encompasses the effective transfer of current knowledge into plant breeding and crop management strategies that will underpin sustainable agriculture intensification and climate resilience. We identify the main problem areas and highlight outstanding questions and potential solutions that can be applied to mitigate the impacts of climate change on crop growth and productivity. Although translation of scientific advances into crop production lags far behind current scientific knowledge and technology, we consider that a holistic approach, combining disciplines in collaborative efforts, can drive better connections between research, policy, and the needs of society.

How to cite this publication

Yoselin Benitez‐Alfonso, Beth K Soanes, Sibongile Zimba, Besiana Sinanaj, Liam German, Vinay Sharma, Abhishek Bohra, Anastasia Kolesnikova, Jessica Dunn, Azahara C. Martín, Muhammad Khashi u Rahman, Zaki Saati‐Santamaría, Paula García‐Fraile, Evander Alves Ferreira, Leidivan Almeida Frazão, Wallace A. Cowling, Kadambot Siddique, Manish K. Pandey, Muhammad Farooq, Rajeev K. Varshney, Mark A. Chapman, Christine Boesch, Agata Daszkowska‐Golec, Christine H. Foyer (2023). Enhancing climate change resilience in agricultural crops. , 33(23), DOI: https://doi.org/10.1016/j.cub.2023.10.028.

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Publication Details

Type

Article

Year

2023

Authors

24

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1016/j.cub.2023.10.028

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