Legume Genomics and Genetics 2024, Vol.15, No.5, 244-256 http://cropscipublisher.com/index.php/lgg 250 et al., 2023). Additionally, integrating genomic selection with traditional breeding methods can help achieve a balance between yield and quality traits, ensuring the development of legumes that meet both productivity and nutritional requirements (Jannink et al., 2010; Varshney et al., 2017). Figure 3 Genotyping platforms and key sequencing-based trait mapping approaches (Adopted from Thudi et al., 2020) Image caption: (a)Molecular markers and genotyping platforms, during the last there decades, have evolved significantly. While throughput has been increasing and cost-per-marker datapoint has been decreasing over the years. (b) Availability of reference genome sequences, the costeffective genotyping platforms, and a range of genetic populations have provided new faster sequencing-based trait mapping approaches [like geotyping by sequencing (GBS), whole genome resequencing (WGRS), restriction site associated DNA Seq (RAD-seq), bulked segregant analysis-sequencing (BSA-seq) MutMap, MutMap+, MutMap-Gap, QTL-seq, Specific locus amplified fragment sequencing (SLAFseq), resistance gene enrichment sequencing (RenSeq)]. With these platforms and trait mapping approaches, it has been possible to map target traits for breeding programmes in time- and cost- effective manner in recent years (Adopted from Thudi et al., 2020) 7 Integrative Approaches for Legume Improvement 7.1 Integrating omics technologies: genomics, transcriptomics, proteomics, and metabolomics The integration of various omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, has revolutionized legume improvement by providing comprehensive insights into the molecular mechanisms underlying important agronomic traits. Advances in next-generation sequencing (NGS) have
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