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The potentialities of omics resources for millet improvement

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Abstract

Millets are nutrient-rich (nutri-rich) cereals with climate resilience attributes. However, its full productive potential is not realized due to the lack of a focused yield improvement approach, as evidenced by the available literature. Also, the lack of well-characterized genomic resources significantly limits millet improvement. But the recent availability of genomic data and advancement in omics tools has shown its enormous potential to enhance the efficiency and precision faced by conventional breeding in millet improvement. The development of high throughput genotyping platforms based on next-generation sequencing (NGS) has provided a low-cost method for genomic information, specifically for neglected nutri-rich cereals with the availability of a limited number of reference genome sequences. NGS has created new avenues for millet biotechnological interventions such as mutation-based study, GWAS, GS, and other omics technologies. The simultaneous discovery of high-throughput markers and multiplexed genotyping platform has aggressively aided marker-assisted breeding for millet improvement. Therefore, omics technology offers excellent opportunities to explore and combine useful variations for targeted traits that could impart high nutritional value to high-yielding cultivars under changing climatic conditions. In millet improvement, an in-depth account of NGS, integrating genomics data with different biotechnology tools, is reviewed in this context.

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Banshidhar: Wrote the introduction, Saurabh Pandey: Prepared the table and wrote Section 4. Priyanka Jaiswal: Prepare Table 1 and Table 2; Khem Raj Meena: Draw the figure and prepared Table 3; Satish Kumar Singh and Mithilesh Kumar Singh; edited the manuscript; and Ashutosh Singh: conceptualized and outlined, structured and revised the manuscript.

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Correspondence to Ashutosh Singh.

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Banshidhar, Pandey, S., Singh, A. et al. The potentialities of omics resources for millet improvement. Funct Integr Genomics 23, 210 (2023). https://doi.org/10.1007/s10142-023-01149-2

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  • DOI: https://doi.org/10.1007/s10142-023-01149-2

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