Legume Genomics and Genetics 2024, Vol.15, No.3, 105-117 http://cropscipublisher.com/index.php/lgg 114 Additionally, genomic prediction techniques have shown promise in improving the accuracy and efficiency of marker-based selection in pea breeding. The findings from these studies have several important implications for pea breeding and conservation. The identification of genetic markers associated with desirable traits, such as resistance to biotic and abiotic stresses, can enhance marker-assisted selection (MAS) programs, increasing precision and shortening breeding cycles. The high genetic diversity observed in pea collections suggests that there is significant potential for the incorporation of novel traits from wild relatives, which can improve the resilience and adaptability of cultivated varieties. The development of genomic tools, such as the GenoPea 13.2 K SNP Array, provides valuable resources for plant scientists to strengthen pea as a model for genetics and physiology and to enhance breeding efforts. Furthermore, the insights gained from the study of domestication and genetic diversity can inform conservation strategies, ensuring the preservation of genetic resources and the evolutionary potential of wild pea populations. In conclusion, the advancements in pea genomics have significantly contributed to our understanding of the evolutionary history, domestication, and genetic diversity of this important legume. The integration of genomic data from diverse sources has provided a comprehensive view of the pea genome, paving the way for the identification of key agronomic traits and the development of improved breeding strategies. Future research should focus on the continued exploration of genetic diversity within wild and cultivated pea populations, the refinement of genomic prediction models, and the application of advanced breeding techniques, such as gene editing, to further enhance pea breeding programs. Additionally, efforts should be made to ensure the conservation of genetic resources and the sustainable use of pea germplasm in the face of changing environmental conditions and agricultural demands. Acknowledgments The author sincerely thanks the two anonymous peer reviewers for their valuable comments and suggestions on the manuscript. Conflict of Interest Disclosure The author affirms that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Amkul K., Somta P., Laosatit K., and Wang L., 2020, Identification of QTLs for domestication-related traits in zombi pea [Vigna vexillata (L.) A. Rich], a lost crop of Africa, Frontiers in Genetics, 11: 803. https://doi.org/10.3389/fgene.2020.00803 Arora L., and Narula A., 2017, Gene editing and crop improvement using CRISPR-Cas9 System, Frontiers in Plant Science, 8: 1932. https://doi.org/10.3389/fpls.2017.01932 Aubert G., Morin J., Jacquin F., Loridon K., Quillet M., Petit A., Rameau C., Lejeune-Hénaut I., Huguet T., and Burstin J., 2006, Functional mapping in pea, as an aid to the candidate gene selection and for investigating synteny with the model legume Medicago truncatula, Theoretical and Applied Genetics, 112: 1024-1041. https://doi.org/10.1007/s00122-005-0205-y Biswas S., Zhang D., and Shi J., 2021, CRISPR/Cas systems: opportunities and challenges for crop breeding, Plant Cell Reports, 40: 979-998. https://doi.org/10.1007/s00299-021-02708-2 Bogdanova V., Mglinets A., Shatskaya N., Kosterin O., Solovyev V., and Vasiliev G., 2018, Cryptic divergences in the genus PisumL. (peas), as revealed by phylogenetic analysis of plastid genomes, Molecular Phylogenetics and Evolution, 129: 280-290. https://doi.org/10.1016/j.ympev.2018.09.002 Bogdanova V., Shatskaya N., Mglinets A., Kosterin O., and Vasiliev G., 2020, Discordant evolution of organellar genomes in peas (Pisum L.), Molecular Phylogenetics and Evolution, 160: 107136. https://doi.org/10.1101/2020.05.19.104224 Bordat A., Savois V., Nicolas M., Salse J., Chauveau A., Bourgeois M., Potier J., Houtin H., Rond C., Murat F., Marget P., Aubert G., and Burstin J., 2011, Translational genomics in legumes allowed placing in Silico 5 460 unigenes on the pea functional map and identified candidate genes in Pisum sativumL., G3: Genes Genomes Genetics, 1(2): 93-103. https://doi.org/10.1534/g3.111.000349
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