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    A precise method for analyzing nitrogen use in foxtail millet
    (Springer Nature Publishing AG, 2020) Bandyopadhyay, Tirthankar; Prasad, Manoj
    Optimization of biological nitrogen (N) use is instrumental in ensuring higher crop yields and preventing environmental degradation due to excessive N fertilizer application. Furthermore, understanding how genetic differences differentially influence N remobilization into seeds under contrasting nitrogen nutrition regimes is crucial to our understanding of nitrogen use efficiency (NUE) in crops in addition to enabling a deeper mechanistic understanding of the dynamics of nitrogen metabolism in plants. In this chapter, a method is proposed to precisely measure and analyze nitrogen use efficiency (NUE) in a pot-based system under different nitrogen nutrition regimes in foxtail millet (Setaria italica L.), a climate change-resilient C4 model crop with great promise for food security and nutrition in the twenty-first century.
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    Genome-wide association study (GWAS) delineates genomic loci for ten nutritional elements in foxtail millet (Setaria italica L.)
    (Elsevier B.V., 2019) Jaiswal, Vandana; Bandyopadhyay, Tirthankar; Gahlaut, Vijay; Gupta, Sarika; Dhaka, Annvi; Ramchiary, Nirala; Prasad, Manoj
    Nutritional deficiency is found to be a major threat to human health, especially in low-income countries. Thus it is essential to improve nutritional qualities of important food crops. Foxtail millet is second largest cultivated millet and 2–5 times nutritionally richer than major cereal crops. During the present study, we identified genetic determinants of ten nutritional elements including potassium, nickel, calcium, boron, magnesium, phosphorus, sulphur, zinc, manganese and iron for the first time in foxtail millet. For this purpose, genome-wide association studies (GWAS) were conducted using 93 diverse accessions and 10 K SNPs (distributed across all the nine foxtail millet chromosomes). Altogether, 74 marker-trait associations (MTAs) were identified to be associated with above mentioned ten elements, out of which ten (10) MTAs (associated with B, Mg, Zn and Fe) showed high confidence [-log(p) > 5.78]. Identified desirable SNP alleles and favourable haplotypes may prove useful in foxtail breeding. Also, significant pyramiding effect suggested that associated elements can be substantially enhanced through combining more than one MTA. Candidate genes residing within or near the association signal may be selected for functional characterization. Superior genotypes identified may prove as a potential donor in foxtail millet breeding assisted through the molecular marker.