Advances in Rice Crop Breeding and Biotechnology: Techniques Driving Modern Rice Development

Abstract

Rice is fundamental for global food security, but traditional breeding struggles to rapidly address challenges like climate change, pests, and increasing demand. This review synthesizes advancements in rice improvement, comparing conventional approaches with modern biotechnological tools. Traditional methods are slow, environmentally dependent, and have limited genetic diversity. Modern techniques, including MAS, QTL mapping, transgenics, RNAi, and especially CRISPR/Cas9, offer enhanced precision and efficiency. Integrating these biotechnologies with conventional breeding accelerates the development of rice with improved yield, stress resilience (drought, submergence), disease/pest resistance, and nutrition. High-throughput phenotyping, multi-omics data, and AI/machine learning further speed up trait discovery. However, challenges remain, including off-target effects, varying regulations, biosafety, socioeconomic barriers for smallholders, and ethical concerns. Future directions emphasize sustainable agriculture via climate-resilient varieties, improved omics integration, AI-driven breeding decisions, and novel editing techniques. Therefore, this research is crucial to explore the synergistic potential of conventional and modern breeding strategies for developing robust and sustainable rice varieties essential for future global food security.