Genomic Tools in Mustard Breeding for the Enhancement of Yield, Oil Quality and Stress Tolerance

Abstract

Mustard (Brassica species) plays a crucial role in global agriculture due to its high oil content and economic significance. However, challenges such as limited genetic diversity, disease susceptibility, and environmental stressors hinder the potential of mustard crops. Genomic tools have emerged as powerful tools to enhance mustard breeding by improving key traits such as yield, oil quality, and disease resistance. Marker-Assisted Selection (MAS) has been widely applied to select for desirable traits, including oil content and disease resistance, by targeting specific genes like FAD2 and FAD3, which are involved in fatty acid composition. Additionally, Quantitative Trait Loci (QTL) mapping has identified genomic regions associated with yield components like seed size, weight, and pod number, facilitating the selection of high-yielding varieties. Genomic Selection (GS) has also accelerated breeding programs by enabling the prediction of complex traits with high accuracy. Genomic approaches are further improving stress tolerance in mustard, with research focusing on genes related to drought, heat, and salinity resistance. The use of genomics to reduce glucosinolate levels in mustard has also improved seed meal quality, making it more suitable for animal feed. The application of CRISPR-Cas9 genome editing holds great potential for modifying genes responsible for oil content, disease resistance, and stress tolerance. As genomic resources for mustard continue to grow, the integration of these tools will revolutionize breeding practices, resulting in faster development of resilient, high-yielding, and high-quality mustard varieties. These advancements will address global agricultural challenges, benefiting both producers and consumers by ensuring a more sustainable and efficient mustard production system.