eprintid: 11597
rev_number: 9
eprint_status: archive
userid: 3170
dir: disk0/00/01/15/97
datestamp: 2020-09-05 16:26:12
lastmod: 2020-09-05 16:26:12
status_changed: 2020-09-05 16:26:12
type: article
metadata_visibility: show
creators_name: Varshney, R K
creators_name: Sinha, P
creators_name: Singh, V K
creators_name: Kumar, A
creators_name: Zhang, Q
creators_name: Bennetzen, J L
creators_gender: Female
icrisatcreators_name: Varshney, R K
icrisatcreators_name: Sinha, P
affiliation: ICRISAT (Patancheru)
affiliation: International Rice Research Institute, South Asia Hub, ICRISAT, Hyderabad
affiliation: IRRI South Asia Regional Center, NSRTC Campus, G.T. Road,  Collectry Farm, P.O. Industrial Estate, Varanasi
affiliation: National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan
affiliation: Department of Genetics, University of Georgia, Athens, GA
country: India
country: China
country: USA
title: 5Gs for crop genetic improvement
ispublished: pub
subjects: s2.13
subjects: s3000
divisions: CRPS3
crps: CG1
full_text_status: public
keywords: Genome assembly, Germplasm characterization, Gene
function identification, Genomic breeding,Gene
editing
note: We are grateful to colleagues for exchanging ideas and discussions related to
the contents of this article. Our sincere apologies to the authors whose work
was not mentioned here due to limited space. RKV thanks the Science &
Engineering Research Board (SERB) of the Department of Science &
Technology (DST), Government of India for providing the J C Bose
National Fellowship (SB/S9/Z-13/2019) and also the Bill and Melinda Gates
Foundation and CGIAR Research Program on Grain Legumes and Dryland
Cereals (GLDC) for partial funding support. ICRISAT is a member of the
CGIAR.
abstract: Here we propose a 5G breeding approach for bringing muchneeded
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.
date: 2020-01
date_type: published
publication: Current Opinion in Plant Biology (TSI)
volume: 56
publisher: Elsevier
pagerange: 190-196
id_number: doi:10.1016/j.pbi.2019.12.004
refereed: TRUE
issn: 1369-5266
official_url: https://doi.org/10.1016/j.pbi.2019.12.004
related_url_url: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=10.1016%2Fj.pbi.2019.12.004&btnG=
related_url_type: pub
citation:   Varshney, R K and Sinha, P and Singh, V K and Kumar, A and Zhang, Q and Bennetzen, J L  (2020) 5Gs for crop genetic improvement.  Current Opinion in Plant Biology (TSI), 56.  pp. 190-196.  ISSN 1369-5266     
document_url: http://oar.icrisat.org/11597/1/main.pdf