Genomic Selection for Phenotype Prediction in Rice

Rice (Oryza sativa L.) is one of the world’s most critical staple crops, serving as a primary source of food for the large population of the world. To meet the future demand of a growing population under the adverse effects of global warming, the need for innovative and efficient breeding strategies to enhance rice yield, quality, and resilience to biotic and abiotic stresses has become important. Genomic selection (GS) has emerged as a transformative approach in rice breeding, revolutionizing traditional plant breeding methods. This chapter provides an in-depth information of the application of genomic selection for phenotype prediction in rice breeding programs. It explains the principles, methodologies, and recent advancements in GS, highlighting its potential to accelerate rice breeding efforts. It underscores the potential of GS to revolutionize rice breeding by reducing the breeding cycle, increasing selection accuracy, and facilitating the development of rice varieties with enhanced yield, quality, and resilience. This chapter further provides a critical assessment of the challenges and opportunities associated with implementing GS in rice breeding programs. It explores the molecular tools and genomic resources available for rice, including high-density single-nucleotide polymorphism (SNP) markers, whole-genome sequencing data, and the rapidly expanding knowledge of rice genomics. This chapter also outlines the key principles of GS, elucidating how it influences genomic information to predict the performance of rice individuals based on their genetic makeup. It discusses the various statistical models and algorithms used in GS, highlighting their strengths and limitations. Furthermore, it explores the integration of multi-omics data, such as transcriptomics and epigenomics, to enhance the accuracy of phenotype prediction in rice. Finally, it outlines prospects and research directions, emphasizing the need for collaborative efforts between plant breeders, geneticists, and bioinformaticians to fully harness the power of genomic selection in securing global rice production and food security.