Integrating Bioinformatics and Genomic Tools for Sustainable Crop Improvement: A Review
P. Manjunath
Department of Genetics and Plant Breeding, College of Agriculture, Iroisemba, Central Agricultural University, Imphal, Manipur – 795004, India.
Mohd Ashaq *
Department of Botany, Govt. Degree College Thannamandi, District Rajouri Jammu and Kashmir -185212, India.
Ravikant Soni
Department of Genetics and Plant Breeding, Dr. B.R. Ambedkar University of Social Sciences Mhow Indore M.P., India.
Sushil Kumar Singh
Krishi Vigyan Kendra, Katihar /Bihar Agricultural University, Sabour, Bhagalpur, India.
Vaibhav Chittora
Department of Basic Sciences, Dr Y S Parmar University of Horticulture and Forestry, Solan (HP), India.
Narinder Panotra
Institute of Biotechnology SKUAST Jammu, India.
Deepika Sharma
Department of Biotechnology, Assam University Silchar, India.
Shivam Kumar Pandey
Rashtriya Raksha University, India.
Mateti Gayithri
Department of Plant Pathology, Assam Agricultural University, India.
Thaneshwar Kumar Sahu
Department of Biomedical Engineering, University Teaching Department (UTD), Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai, India.
Bal veer Singh
Department of Agronomy, Chandra Shekhar Azad University of Agriculture and Technology Kanpur Uttar Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
Sustainable crop improvement is a crucial endeavor that aims to develop crops capable of maintaining or increasing yields while minimizing negative environmental impacts and adapting to the challenges posed by climate change. As the global population continues to grow, and agricultural land becomes increasingly limited, there is an urgent need for innovative and efficient approaches to enhance crop productivity and ensure food security. In this context, the integration of bioinformatics and molecular breeding has emerged as a powerful tool for sustainable crop improvement.
Bioinformatics plays a pivotal role in addressing the challenges of sustainable crop improvement by enabling the efficient analysis and interpretation of vast amounts of genomic data. Advanced bioinformatics tools and resources allow researchers to mine and exploit the wealth of information generated by high-throughput sequencing technologies, facilitating the identification of key genes, molecular markers, and regulatory networks associated with desirable agronomic traits. By leveraging these insights, breeders can develop targeted strategies for crop improvement that are both efficient and environmentally sustainable.
The application of bioinformatics in sustainable crop improvement has yielded significant successes in various areas. For instance, bioinformatics approaches have been instrumental in identifying genes conferring resistance to abiotic stresses such as drought, salinity, and extreme temperatures, as well as biotic stresses caused by pests and pathogens. By incorporating these resistance genes into elite crop varieties through molecular breeding techniques like marker-assisted selection and genome editing, researchers have developed crops that are more resilient to environmental challenges, thereby reducing the need for chemical inputs and promoting sustainable agriculture. Moreover, bioinformatics has facilitated the development of nutrient-efficient crops that require fewer fertilizers, thus minimizing the environmental impact of agriculture. Genomic data analysis has also enabled the identification of genes controlling yield and quality traits, allowing for the creation of crops with enhanced nutritional value and improved agronomic performance. Additionally, bioinformatics has played a crucial role in the conservation and utilization of genetic diversity in crop breeding programs, ensuring the long-term sustainability of agricultural systems. he integration of bioinformatics and molecular breeding techniques has revolutionized the field of sustainable crop improvement. By harnessing the power of genomic data and applying precise breeding approaches, researchers can develop crops that are better suited to the challenges of a changing climate and the needs of a growing population. This synergistic application of bioinformatics and molecular breeding holds immense potential for enhancing agricultural productivity, reducing environmental impacts, and ultimately contributing to global food security in a sustainable manner.
Keywords: Bioinformatics, molecular breeding, crop improvement, sustainable agriculture, genomic selection