Omics strategies for crop improvement in response to climate change‐imposed abiotic stress

Given the current status of climate change and its impact on global food security, it is imperative to improve the abiotic stress tolerance of crop plants to enhance productivity. Traditional plant breeding methods have been widely employed to develop climate‐resilient crops; however, their success has been limited due to the lack of understanding of the complex relationships between genes and stress‐related phenotypes. The advent of modern genomics has enabled the expression analysis of stress genes in plants, as genome‐wide information is readily accessible and can be utilized to assign and validate the gene functions. This article highlights the potential applications and limitations of present‐day genomic technologies based on genome mapping, gain or loss‐of‐function analysis for identification of the role of a particular gene in abiotic stress response in plants. Such technologies are highly efficient in candidate gene identification; gene‐trait relationships establishment; functional elucidation of genes; and stress genes modification in crop plants. Modern high throughput genomic technologies offer wide scope for deciphering the complexities of genetic regulation of stress in plants; modulating stress responses; and developing stress tolerance in crop plants against drought, temperature, salinity, osmotic imbalance, herbicides and heavy metal toxicity.

Authors

Institutions

Publication Details

Journal
Indonesian Journal of Biotechnology
Published
2024-12-31
DOI
https://doi.org/10.22146/ijbiotech.94026
Citations
2
Primary Topic
Seed and Plant Biochemistry
Type
article
Field-Weighted Citation Impact
0.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Omics strategies for crop improvement in response to climate change‐imposed abiotic stress

Abhilasha Shourie, Nishtha Madaan, Paridhi Saini
2 citations
Indonesian Journal of Biotechnology
Seed and Plant Biochemistry
0.70
article

Omics strategies for crop improvement in response to climate change‐imposed abiotic stress

Abhilasha Shourie, Nishtha Madaan, Paridhi Saini
article en
2 citations

Abstract

Given the current status of climate change and its impact on global food security, it is imperative to improve the abiotic stress tolerance of crop plants to enhance productivity. Traditional plant breeding methods have been widely employed to develop climate‐resilient crops; however, their success has been limited due to the lack of understanding of the complex relationships between genes and stress‐related phenotypes. The advent of modern genomics has enabled the expression analysis of stress genes in plants, as genome‐wide information is readily accessible and can be utilized to assign and validate the gene functions. This article highlights the potential applications and limitations of present‐day genomic technologies based on genome mapping, gain or loss‐of‐function analysis for identification of the role of a particular gene in abiotic stress response in plants. Such technologies are highly efficient in candidate gene identification; gene‐trait relationships establishment; functional elucidation of genes; and stress genes modification in crop plants. Modern high throughput genomic technologies offer wide scope for deciphering the complexities of genetic regulation of stress in plants; modulating stress responses; and developing stress tolerance in crop plants against drought, temperature, salinity, osmotic imbalance, herbicides and heavy metal toxicity.

Indonesian Journal of BiotechnologyVol. 29(4)
Manav Rachna International Institute of Research and Studies (IN)
Zero hunger
Openalex Percentile: Top 26%
Seed and Plant Biochemistry
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.