A Review on Integrating Bioinformatics Tools in Modern Plant Breeding

Vangapandu Thriveni *

Department of Horticulture, Centurion University of Technology and Management, Odisha - 761211, India.

Jatin Teotia

Department of Genetic and Plant Breeding, Chaudhary Charan Singh University Campus, Meerut, Uttar Pradesh, India.

Somak Hazra

Department of Biotechnology, School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, 141004, India.

Thounaojam Bharti

Department of Agriculture in Genetics and Plant Breeding, Central Agricultural University, College of Post Graduate Studies in Agricultural Sciences, (CAU), Barapani, Meghalaya, India.

Manoj Kumar

IARI Regional Station Shimla, India.

Michelle C. Lallawmkimi

Krishi Vigyan Kendra (KVK), Kolasib, Mizoram, India.

Deepak Panwar

Department of Genetics and Plant Breeding in Chaudhary Charan Singh University Meerut Campus, India.

*Author to whom correspondence should be addressed.


Abstract

Bioinformatics has become integral to modern plant breeding, facilitating the analysis of large-scale genomic data, identifying key genetic markers, and enabling precision breeding techniques such as genomic selection. Advances in sequencing technologies and computational tools have accelerated the pace of crop improvement, allowing for the rapid identification of genes associated with important agronomic traits, including yield, stress tolerance, and disease resistance. The integration of bioinformatics in plant breeding also presents significant challenges, particularly in terms of data management, multi-omics integration, and the interpretation and validation of complex datasets. The role of emerging trends such as pangenomics, metagenomics, and epigenomics in expanding the scope of plant breeding, as well as the increasing importance of artificial intelligence and machine learning in enhancing predictive accuracy and optimizing breeding strategies. Personalized plant breeding and precision agriculture are identified as promising approaches for tailoring crop varieties to specific environments and farming practices, driven by bioinformatics tools that enable detailed analysis of genomic and phenotypic data. Ethical considerations and data privacy issues are also addressed, emphasizing the need for transparent and equitable practices in the collection, sharing, and use of genomic data. The importance of collaborative efforts and global initiatives in advancing bioinformatics-driven plant breeding, with a focus on fostering international cooperation, building capacity in developing regions, and ensuring open access to bioinformatics resources. As the field continues to evolve, bioinformatics will play a Important role in developing sustainable agricultural systems capable of meeting the demands of a growing global population while mitigating the impacts of climate change. The current applications, challenges, and future prospects of bioinformatics in plant breeding, offering insights into the critical role of this field in shaping the future of agriculture.

Keywords: Bioinformatics, genomics, plant breeding, crop improvement, multi-omics, artificial intelligence, precision agriculture


How to Cite

Vangapandu Thriveni, Jatin Teotia, Somak Hazra, Thounaojam Bharti, Manoj Kumar, Michelle C. Lallawmkimi, and Deepak Panwar. 2024. “A Review on Integrating Bioinformatics Tools in Modern Plant Breeding”. Archives of Current Research International 24 (9):293–308. https://doi.org/10.9734/acri/2024/v24i9894.