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Next-Generation Breeding Strategies for Climate-Ready Crops

Climate change is a threat to global food security due to the reduction of crop productivity around the globe. Food security is a matter of concern for stakeholders and policymakers as the global population is predicted to bypass 10 billion in the coming years. Crop improvement via modern breeding t...

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Autores principales: Razzaq, Ali, Kaur, Parwinder, Akhter, Naheed, Wani, Shabir Hussain, Saleem, Fozia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336580/
https://www.ncbi.nlm.nih.gov/pubmed/34367194
http://dx.doi.org/10.3389/fpls.2021.620420
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author Razzaq, Ali
Kaur, Parwinder
Akhter, Naheed
Wani, Shabir Hussain
Saleem, Fozia
author_facet Razzaq, Ali
Kaur, Parwinder
Akhter, Naheed
Wani, Shabir Hussain
Saleem, Fozia
author_sort Razzaq, Ali
collection PubMed
description Climate change is a threat to global food security due to the reduction of crop productivity around the globe. Food security is a matter of concern for stakeholders and policymakers as the global population is predicted to bypass 10 billion in the coming years. Crop improvement via modern breeding techniques along with efficient agronomic practices innovations in microbiome applications, and exploiting the natural variations in underutilized crops is an excellent way forward to fulfill future food requirements. In this review, we describe the next-generation breeding tools that can be used to increase crop production by developing climate-resilient superior genotypes to cope with the future challenges of global food security. Recent innovations in genomic-assisted breeding (GAB) strategies allow the construction of highly annotated crop pan-genomes to give a snapshot of the full landscape of genetic diversity (GD) and recapture the lost gene repertoire of a species. Pan-genomes provide new platforms to exploit these unique genes or genetic variation for optimizing breeding programs. The advent of next-generation clustered regularly interspaced short palindromic repeat/CRISPR-associated (CRISPR/Cas) systems, such as prime editing, base editing, and de nova domestication, has institutionalized the idea that genome editing is revamped for crop improvement. Also, the availability of versatile Cas orthologs, including Cas9, Cas12, Cas13, and Cas14, improved the editing efficiency. Now, the CRISPR/Cas systems have numerous applications in crop research and successfully edit the major crop to develop resistance against abiotic and biotic stress. By adopting high-throughput phenotyping approaches and big data analytics tools like artificial intelligence (AI) and machine learning (ML), agriculture is heading toward automation or digitalization. The integration of speed breeding with genomic and phenomic tools can allow rapid gene identifications and ultimately accelerate crop improvement programs. In addition, the integration of next-generation multidisciplinary breeding platforms can open exciting avenues to develop climate-ready crops toward global food security.
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spelling pubmed-83365802021-08-05 Next-Generation Breeding Strategies for Climate-Ready Crops Razzaq, Ali Kaur, Parwinder Akhter, Naheed Wani, Shabir Hussain Saleem, Fozia Front Plant Sci Plant Science Climate change is a threat to global food security due to the reduction of crop productivity around the globe. Food security is a matter of concern for stakeholders and policymakers as the global population is predicted to bypass 10 billion in the coming years. Crop improvement via modern breeding techniques along with efficient agronomic practices innovations in microbiome applications, and exploiting the natural variations in underutilized crops is an excellent way forward to fulfill future food requirements. In this review, we describe the next-generation breeding tools that can be used to increase crop production by developing climate-resilient superior genotypes to cope with the future challenges of global food security. Recent innovations in genomic-assisted breeding (GAB) strategies allow the construction of highly annotated crop pan-genomes to give a snapshot of the full landscape of genetic diversity (GD) and recapture the lost gene repertoire of a species. Pan-genomes provide new platforms to exploit these unique genes or genetic variation for optimizing breeding programs. The advent of next-generation clustered regularly interspaced short palindromic repeat/CRISPR-associated (CRISPR/Cas) systems, such as prime editing, base editing, and de nova domestication, has institutionalized the idea that genome editing is revamped for crop improvement. Also, the availability of versatile Cas orthologs, including Cas9, Cas12, Cas13, and Cas14, improved the editing efficiency. Now, the CRISPR/Cas systems have numerous applications in crop research and successfully edit the major crop to develop resistance against abiotic and biotic stress. By adopting high-throughput phenotyping approaches and big data analytics tools like artificial intelligence (AI) and machine learning (ML), agriculture is heading toward automation or digitalization. The integration of speed breeding with genomic and phenomic tools can allow rapid gene identifications and ultimately accelerate crop improvement programs. In addition, the integration of next-generation multidisciplinary breeding platforms can open exciting avenues to develop climate-ready crops toward global food security. Frontiers Media S.A. 2021-07-21 /pmc/articles/PMC8336580/ /pubmed/34367194 http://dx.doi.org/10.3389/fpls.2021.620420 Text en Copyright © 2021 Razzaq, Kaur, Akhter, Wani and Saleem. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Razzaq, Ali
Kaur, Parwinder
Akhter, Naheed
Wani, Shabir Hussain
Saleem, Fozia
Next-Generation Breeding Strategies for Climate-Ready Crops
title Next-Generation Breeding Strategies for Climate-Ready Crops
title_full Next-Generation Breeding Strategies for Climate-Ready Crops
title_fullStr Next-Generation Breeding Strategies for Climate-Ready Crops
title_full_unstemmed Next-Generation Breeding Strategies for Climate-Ready Crops
title_short Next-Generation Breeding Strategies for Climate-Ready Crops
title_sort next-generation breeding strategies for climate-ready crops
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8336580/
https://www.ncbi.nlm.nih.gov/pubmed/34367194
http://dx.doi.org/10.3389/fpls.2021.620420
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