5Gs for crop genetic improvement

•5G breeding approach brings precision and enhances efficiency in breeding programs.•Genome, germplasm, gene function, genomic breeding and genome editing are the 5Gs.•NGS platforms, speed breeding and express edit facility are the key drivers for 5G breeding.•Haplotype-based breeding, genomic selec...

Full description

Saved in:
Bibliographic Details
Published inCurrent opinion in plant biology Vol. 56; pp. 190 - 196
Main Authors Varshney, Rajeev K, Sinha, Pallavi, Singh, Vikas K, Kumar, Arvind, Zhang, Qifa, Bennetzen, Jeffrey L
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.08.2020
Current Biology Ltd
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:•5G breeding approach brings precision and enhances efficiency in breeding programs.•Genome, germplasm, gene function, genomic breeding and genome editing are the 5Gs.•NGS platforms, speed breeding and express edit facility are the key drivers for 5G breeding.•Haplotype-based breeding, genomic selection and gene editing are the key genomic breeding approaches of the future.•Multi-disciplinary team of scientists need to be trained to deploy 5G breeding in developing countries. Here we propose a 5G breeding approach for bringing much-needed disruptive changes to crop improvement. These 5Gs are Genome assembly, Germplasm characterization, Gene function identification, Genomic breeding (GB), and Gene editing (GE). In our view, it is important to have genome assemblies available for each crop and a deep collection of germplasm characterized at sequencing and agronomic levels for identification of marker-trait associations and superior haplotypes. Systems biology and sequencing-based mapping approaches can be used to identify genes involved in pathways leading to the expression of a trait, thereby providing diagnostic markers for target traits. These genes, markers, haplotypes, and genome-wide sequencing data may be utilized in GB and GE methodologies in combination with a rapid cycle breeding strategy.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
ObjectType-Review-3
content type line 23
ISSN:1369-5266
1879-0356
1879-0356
DOI:10.1016/j.pbi.2019.12.004