Advancing designer crops for climate resilience through an integrated genomics approach.

Climate change Crop improvement Crop phenomics Crop wild relatives Enviromics Gene editing Genome selection Machine learning Pangenome

Journal

Current opinion in plant biology
ISSN: 1879-0356
Titre abrégé: Curr Opin Plant Biol
Pays: England
ID NLM: 100883395

Informations de publication

Date de publication:
06 2022
Historique:
received: 13 08 2021
revised: 15 03 2022
accepted: 25 03 2022
pubmed: 1 5 2022
medline: 9 6 2022
entrez: 30 4 2022
Statut: ppublish

Résumé

Climate change and exponential population growth are exposing an immediate need for developing future crops that are highly resilient and adaptable to changing environments to maintain global food security in the next decade. Rigorous selection from long domestication history has rendered cultivated crops genetically disadvantaged, raising concerns in their ability to adapt to these new challenges and limiting their usefulness in breeding programmes. As a result, future crop improvement efforts must rely on integrating various genomic strategies ranging from high-throughput sequencing to machine learning, in order to exploit germplasm diversity and overcome bottlenecks created by domestication, expansive multi-dimensional phenotypes, arduous breeding processes, complex traits and big data.

Identifiants

pubmed: 35489163
pii: S1369-5266(22)00049-8
doi: 10.1016/j.pbi.2022.102220
pii:
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

102220

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article.

Auteurs

Nur Shuhadah Mohd Saad (NS)

UWA School of Biological Sciences and the UWA Institute of Agriculture, University of Western Australia, Crawley, WA, Australia.

Ting Xiang Neik (TX)

Sunway College Kuala Lumpur, Bandar Sunway, 47500, Selangor, Malaysia.

William J W Thomas (WJW)

UWA School of Biological Sciences and the UWA Institute of Agriculture, University of Western Australia, Crawley, WA, Australia.

Junrey C Amas (JC)

UWA School of Biological Sciences and the UWA Institute of Agriculture, University of Western Australia, Crawley, WA, Australia.

Aldrin Y Cantila (AY)

UWA School of Biological Sciences and the UWA Institute of Agriculture, University of Western Australia, Crawley, WA, Australia.

Ryan J Craig (RJ)

UWA School of Biological Sciences and the UWA Institute of Agriculture, University of Western Australia, Crawley, WA, Australia.

David Edwards (D)

UWA School of Biological Sciences and the UWA Institute of Agriculture, University of Western Australia, Crawley, WA, Australia.

Jacqueline Batley (J)

UWA School of Biological Sciences and the UWA Institute of Agriculture, University of Western Australia, Crawley, WA, Australia. Electronic address: jacqueline.batley@uwa.edu.au.

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Classifications MeSH