LGG_2024v15n5

Legume Genomics and Genetics 2024, Vol.15, No.5, 244-256 http://cropscipublisher.com/index.php/lgg 253 The integration of genomics with conventional breeding methods has the potential to break the yield plateau and achieve higher genetic gains in legumes. Furthermore, the development of genomic resources for underutilized legumes can contribute to global food security and the achievement of sustainable development goals. The future of legume crop improvement lies in the continued integration of advanced genomic technologies with traditional breeding methods. The progress made in the last decade in genomics-assisted breeding has set a strong foundation for future research and development. The use of genomic resources, such as whole-genome arrays and tagged mutant populations, will enable detailed studies on gene expression and function, leading to the discovery of novel genes for important agronomic traits. Additionally, the application of novel breeding technologies, such as speed breeding, genomic selection, and genome editing, will further accelerate the development of climate-resilient and high-yielding legume cultivars. By harnessing the genetic diversity of wild relatives and underutilized legumes, researchers can broaden the genetic base of legume crops and enhance their adaptability to changing environmental conditions. Overall, the future of legume crop improvement looks promising, with translational genomics playing a pivotal role in ensuring food security and sustainable agriculture. Acknowledgments CropSci Publisher sincerely thanks the two anonymous peer reviewers for their suggestions. Conflict of Interest Disclosure The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Abdelrahman M., Jogaiah S., Burritt D., and Tran L., 2018, Legume genetic resources and transcriptome dynamics under abiotic stress conditions, Plant, Cell and Environment, 41(9): 1972-1983. https://doi.org/10.1111/pce.13123 Afzal M., Alghamdi S., Migdadi H., Khan M.N., Mirza S., Mirza S., and El-Harty E., 2019, Legume genomics and transcriptomics: from classic breeding to modern technologies, Saudi Journal of Biological Sciences, 27: 543-555. https://doi.org/10.1016/j.sjbs.2019.11.018 Ali A., Altaf M., Nadeem M., Karaköy T., Shah A., Azeem H., Baloch F., Baran N., Hussain T., Duangpan S., Aasim M., Boo K., AbdelVarshney R., Kudapa H., Pazhamala L., Chitikineni A., Thudi M., Bohra A., Gaur P., Janila P., Fikre A., Kimurto P., and Ellis N., 2015, Translational genomics in agriculture: some examples in grain legumes, Critical Reviews in Plant Sciences, 34: 169-194. https://doi.org/10.1080/07352689.2014.897909 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 5460 unigenes on the pea functional map and identified candidate genes in Pisum sativumL., Genes Genomes Genetics, 1: 93-103. https://doi.org/10.1534/g3.111.000349 Broughton W., Hernández G., Blair M., Beebe S., Gepts P., and Vanderleyden J., 2004, Beans (Phaseolus spp.)-model food legumes, Plant and Soil, 252: 55-128. https://doi.org/10.1023/A:1024146710611 Budhlakoti N., Kushwaha A., Rai A., Chaturvedi K., Kumar A., Pradhan A., Kumar U., Kumar R., Juliana P., Mishra D., and Kumar S., 2022, Genomic selection: a tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops, Frontiers in Genetics, 13: 832153. https://doi.org/10.3389/fgene.2022.832153 Bulut M., Wendenburg R., Bitocchi E., Bellucci E., Kroc M., Gioia T., Susek K., Papa R., Fernie A., and Alseekh S., 2023, A comprehensive metabolomics and lipidomics atlas for the legumes common bean, chickpea, lentil and lupin, The Plant Journal, 116(4): 1152-1171. https://doi.org/10.1111/tpj.16329 Cañas L., and Beltrán J., 2018, Model legumes: functional genomics tools in Medicago truncatula, Methods in Molecular Biology, 1822: 11-37. https://doi.org/10.1007/978-1-4939-8633-0_2 Choudhury A., and Rajam M., 2021, Genetic transformation of legumes: an update, Plant Cell Reports, 40: 1813-1830. https://doi.org/10.1007/s00299-021-02749-7 Dwivedi S., Scheben A., Edwards D., Spillane C., and Ortiz R., 2017, Assessing and exploiting functional diversity in germplasm pools to enhance abiotic stress adaptation and yield in cereals and food legumes, Frontiers in Plant Science, 8: 1461. https://doi.org/10.3389/fpls.2017.01461

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