AgroScience Today, Volume 3, Issue 9 : 0480-0485
POPULAR ARTICLES

OPEN ACCESS | Published on : 30-Sep-2022

Impact of Bioinformatics Advances in Agricultural Sciences

  • Sneha Murmu
  • ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India.
  • Asit Kumar Pradhan
  • ICAR-National Rice Research Institute, Cuttack, Odisha, India.
  • Himanshushekhar Chaurasia
  • ICAR-Central Institute for Research on Cotton Technology, Mumbai, India.
  • Dilip Kumar
  • ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi, India.
  • Ipsita Samal
  • Sri Sri University, Cuttack, Odisha, India.

Abstract

Over the past decades, a large amount of scientific data has been generated, especially in the fields of genomics and molecular biology. Bioinformatics, an interdisciplinary scientific field that applies information technology in the form of advanced computational tools, can be effectively used to the processing and management of biological data. Biological and agricultural sciences have evolved into data-driven sciences due to extraordinary technological innovations over the last few decades. The opportunities, challenges and consequences of this revolution are enormous and can only be seen in the long term. Bioinformatics offers greater insight into the underlying biological mechanisms and how biological processes influence the networks of genes, proteins, and metabolites that regulate biological processes in organisms. Extensive omics data such as genomics, proteomics, transcriptomics and metabolomics have been generated from various field of agriculture that includes crop science, livestock, fisheries and horticultural science. Bioinformatics tools and methods can be used in a variety of ways to extract meaning information of such huge collection of data. In this article, we have attempted to highlight the importance and impact of application of bioinformatics advances in agriculture and discuss some of the computational resources relevant to the field of agro-informatics.

Keywords

Bioinformatics, Agriculture, Omics, Agro-informatics

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