TY - JOUR
T1 - Smart breeding approaches in post-genomics era for developing climate-resilient food crops
AU - Naqvi, Rubab Zahra
AU - Siddiqui, Hamid Anees
AU - Mahmood, Muhammad Arslan
AU - Najeebullah, Syed
AU - Ehsan, Aiman
AU - Azhar, Maryam
AU - Farooq, Muhammad
AU - Amin, Imran
AU - Asad, Shaheen
AU - Mukhtar, Zahid
AU - Mansoor, Shahid
AU - Asif, Muhammad
N1 - Publisher Copyright:
Copyright © 2022 Naqvi, Siddiqui, Mahmood, Najeebullah, Ehsan, Azhar, Farooq, Amin, Asad, Mukhtar, Mansoor and Asif.
PY - 2022/9/16
Y1 - 2022/9/16
N2 - Improving the crop traits is highly required for the development of superior crop varieties to deal with climate change and the associated abiotic and biotic stress challenges. Climate change-driven global warming can trigger higher insect pest pressures and plant diseases thus affecting crop production sternly. The traits controlling genes for stress or disease tolerance are economically imperative in crop plants. In this scenario, the extensive exploration of available wild, resistant or susceptible germplasms and unraveling the genetic diversity remains vital for breeding programs. The dawn of next-generation sequencing technologies and omics approaches has accelerated plant breeding by providing the genome sequences and transcriptomes of several plants. The availability of decoded plant genomes offers an opportunity at a glance to identify candidate genes, quantitative trait loci (QTLs), molecular markers, and genome-wide association studies that can potentially aid in high throughput marker-assisted breeding. In recent years genomics is coupled with marker-assisted breeding to unravel the mechanisms to harness better better crop yield and quality. In this review, we discuss the aspects of marker-assisted breeding and recent perspectives of breeding approaches in the era of genomics, bioinformatics, high-tech phonemics, genome editing, and new plant breeding technologies for crop improvement. In nutshell, the smart breeding toolkit in the post-genomics era can steadily help in developing climate-smart future food crops.
AB - Improving the crop traits is highly required for the development of superior crop varieties to deal with climate change and the associated abiotic and biotic stress challenges. Climate change-driven global warming can trigger higher insect pest pressures and plant diseases thus affecting crop production sternly. The traits controlling genes for stress or disease tolerance are economically imperative in crop plants. In this scenario, the extensive exploration of available wild, resistant or susceptible germplasms and unraveling the genetic diversity remains vital for breeding programs. The dawn of next-generation sequencing technologies and omics approaches has accelerated plant breeding by providing the genome sequences and transcriptomes of several plants. The availability of decoded plant genomes offers an opportunity at a glance to identify candidate genes, quantitative trait loci (QTLs), molecular markers, and genome-wide association studies that can potentially aid in high throughput marker-assisted breeding. In recent years genomics is coupled with marker-assisted breeding to unravel the mechanisms to harness better better crop yield and quality. In this review, we discuss the aspects of marker-assisted breeding and recent perspectives of breeding approaches in the era of genomics, bioinformatics, high-tech phonemics, genome editing, and new plant breeding technologies for crop improvement. In nutshell, the smart breeding toolkit in the post-genomics era can steadily help in developing climate-smart future food crops.
KW - agriculture
KW - breeding
KW - climate change
KW - food crops
KW - genomics
UR - http://www.scopus.com/inward/record.url?scp=85139265754&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139265754&partnerID=8YFLogxK
U2 - 10.3389/fpls.2022.972164
DO - 10.3389/fpls.2022.972164
M3 - Review article
C2 - 36186056
AN - SCOPUS:85139265754
SN - 1664-462X
VL - 13
JO - Frontiers in Plant Science
JF - Frontiers in Plant Science
M1 - 972164
ER -