1. Krishnan R, Meera MS. Pearl millet minerals: effect of processing on bioaccessibility. J Food Sci Technol [Internet]. 2018/06/27. 2018 Sep;55(9):3362–72. Available from: https://pubmed.ncbi.nlm.nih.gov/30150794
2. Kane NA, Berthouly-Salazar C. Population Genomics of Pearl Millet. Switzerland: In Rajora OP (ed). Population Genomics: Crop Plants. Springer Nature AG; 2020.
3. Burgarella C, Cubry P, Kane NA, Varshney RK, Mariac C, Liu X, et al. A western Sahara centre of domestication inferred from pearl millet genomes. Nat Ecol Evol. 2018;2(9).
4. C B, A B, NA K, F J, N S, C B, et al. Adaptive Introgression: An Untapped Evolutionary Mechanism for Crop Adaptation. Front Plant Sci. 2019;
5. Haussmann BIG, Boureima SS, Kassari IA, Moumouni KH, Boubacar A. Mechanisms of adaptation to climate variability in West African pearl millet landraces a preliminary assessment. 2007.
6. Saidou AA, Mariac C, Luong V, Pham JL, Bezancon G, Vigouroux Y. Association studies identify natural variation at PHYC linked to flowering time and morphological variation in pearl millet. Genetics [Internet]. 2009;182. Available from: https://doi.org/10.1534/genetics.109.102756
7. Vigouroux Y, Mariac C, de Mita S, Pham JL, Gérard B, Kapran I, et al. Selection for earlier flowering crop associated with climatic variations in the Sahel. PLoS One. 2011;6.
8. Diack O, Kane NA, Berthouly-Salazar C, Gueye MC, Diop BM, Fofana A, et al. New genetic insights into pearl millet diversity as revealed by characterization of early- and late-flowering landraces from Senegal. Front Plant Sci. 2017;8.
9. Ousmane SY, Fofana AT, Cissé N, Noba K, Diouf D, Ndoye I, et al. Étude de la variabilité agromorphologique de la collection nationale de mils locaux du Sénégal. In 2015.
10. Tostain S. Isozymic classification of pearl-millet (Pennisetum glaucum, poaceae) landraces from Niger (West-Africa). Plant Syst Evol [Internet]. 1994;193. Available from: https://doi.org/10.1007/BF00983542
11. Hu Z, Mbacké B, Perumal R, Guèye MC, Sy O, Bouchet S, et al. Population genomics of pearl millet (Pennisetum glaucum (L.) R. Br.): Comparative analysis of global accessions and Senegalese landraces. BMC Genomics [Internet]. 2015;16(1):1048. Available from: http://www.biomedcentral.com/1471-2164/16/1048
12. Frankel O, Brown A. Plant genetic resources today: a critical appraisal. In: Crop genetic resources: conservation and evaluation. 1984. p. 249–57.
13. RK V, C S, M T, C M, J W, P Q, et al. Pearl millet genome sequence provides a resource to improve agronomic traits in arid environments. Nat Biotechnol. 2017;
14. Bordes J, Branlard G, Oury FX, Charmet G, Balfourier F. Agronomic characteristics, grain quality and flour rheology of 372 bread wheats in a worldwide core collection. Journal of Cereal Science. 2008.
15. Yan W, Rutger JN, Bryant RJ, Bockelman HE, Fjellstrom RG, Chen M-H, et al. Development and Evaluation of a Core Subset of the USDA Rice Germplasm Collection. Crop Sci [Internet]. 2007 Mar 1;47(2):869–76. Available from: https://doi.org/10.2135/cropsci2006.07.0444
17. Burgarella C, Barnaud A, Kane NA, Jankowsky F, Scarcelli N, Billot C, et al. Adaptive introgression: an untapped evolutionary mechanism for crop adaptation. 2018.
18. Stewart NB, Rogers RL. Chromosomal rearrangements as a source of new gene formation in Drosophila yakuba. PLoS Genet. 2019;
19. Abdelgawwad M. Analysis of DNA Damage-Binding Proteins (DDBs) in Arabidopsis thalian and their Protection of the Plant from UV Radiation. Curr Proteomics. 2016 Nov 28;14.
20. Berens M, Berry H, Mine A, Argueso C, Tsuda K. Evolution of Hormone Signaling Networks in Plant Defense. Annu Rev Phytopathol. 2017 Jun 23;55.
21. Manna S. An overview of pentatricopeptide repeat proteins and their applications. Biochimie. 2015 Apr 14;113:93–9.
22. Diack O, Kane NA, Berthouly-Salazar C, Gueye MC, Diop BM, Fofana A, et al. New Genetic Insights into Pearl Millet Diversity As Revealed by Characterization of Early- and Late-Flowering Landraces from Senegal. Front Plant Sci [Internet]. 2017;8(May):1–9. Available from: http://journal.frontiersin.org/article/10.3389/fpls.2017.00818/full
23. Zoclanclounon YAB, Kanfany G, Kane A, Fonceka D, Ehemba GL, Ly F. Current Status of Pearl Millet Downy Mildew Prevalence across Agroecological Zones of Senegal. Sci World J. 2019;
24. KUMAR A, ARYA R, KUMAR S, KUMAR D, KUMAR S, Panchta R. Advances in pearl millet fodder yield and quality improvement through Breeding and management practices. Forage Res. 2015;
25. IBPGR, ICRISAT. Descriptors for pearl millet [Pennisetum glaucum (L.) R. Br.]. 1993.
26. Kim K-W, Chung H-K, Cho G-T, Ma K-H, Chandrabalan D, Gwag J-G, et al. PowerCore: A program applying the advanced M strategy with a heuristic search for establishing core sets. Bioinformatics. 2007 Sep 1;23:2155–62.
27. Hu J-J, Zhu J, Xu H. Methods of constructing core collections by stepwise clustering with three sampling strategies based on genotypic values of crops. Theor Appl Genet. 2000 Jul 1;101:264–8.
28. Jombart T. ADEGENET: A R package for the multivariate analysis of genetic markers. Bioinformatics. 2008 Jul 1;24:1403–5.
29. R Development Core Team R. R: A Language and Environment for Statistical Computing [Internet]. Team RDC, editor. R Foundation for Statistical Computing. R Foundation for Statistical Computing; 2011. p. 409. (R Foundation for Statistical Computing; vol. 1). Available from: http://www.r-project.org
30. Mariac C, Luong V, Kapran I, Mamadou A, Sagnard F, Deu M, et al. Diversity of wild and cultivated pearl millet accessions (Pennisetum glaucum [L.] R. Br.) in Niger assessed by microsatellite markers. Theor Appl Genet. 2006;114:49–58.
31. Afgan E, Baker D, Batut B, Beek M, Bouvier D, Cech M, et al. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. Nucleic Acids Res. 2018 May 22;46.
32. Dawn F, Tiwari B, Booth T, Houten S, Swan D, Bertrand N, et al. Open Software for Biologists: from famine to feast. Nat Biotechnol. 2006 Aug 1;24:801–3.
33. C. JT and C. A tutorial for Discriminant Analysis of Principal Components (DAPC) using adegenet 2.0-0. 2015 Aug 1;31.
34. Turner S. qqman: an R package for visualizing GWAS results using Q-Q and manhattan plots. J Open Source Softw. 2018 May 19;3:731.
35. Haynes W. Bonferroni Correction. In: Encyclopedia of Systems Biology. 2013.
36. Riemondy KA, Sheridan RM, Gillen A, Yu Y, Bennett CG, Hesselberth JR. valr: Reproducible genome interval analysis in R. F1000Research [Internet]. 2017 Jun 29;6:1025. Available from: https://pubmed.ncbi.nlm.nih.gov/28751969