Genome-wide assessment of population structure and association mapping for agronomic and grain nutritional traits in proso millet (Panicum miliaceum L.)

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cg.authorship.typesCGIAR and developing country institute
cg.authorship.typesCGIAR and advanced research institute
cg.contributor.affiliationInternational Crops Research Institute for the Semi-Arid Tropics
cg.contributor.donorCGIAR Trust Fund
cg.contributor.initiativeGenebanks
cg.creator.identifierVetriventhan Mani: 0000-0001-9111-2320
cg.creator.identifierKuldeep Singh: 0000-0001-5239-658
cg.creator.identifierSantosh Deshpande: 0000-0002-7182-3456
cg.howPublishedFormally Published
cg.identifier.doihttps://doi.org/10.1038/s41598-024-72319-w
cg.identifier.urlhttps://www.nature.com/articles/s41598-024-72319-w
cg.isijournalISI Journal
cg.issn2045-2322
cg.issue21920
cg.journalScientific Reports
cg.link.photohttps://www.icrisat.org/storage/file-managers/file-67a496616f3d23.57845855.png
cg.reviewStatusPeer Review
cg.subject.actionAreaResilient Agrifood Systems
cg.subject.impactAreaNutrition, health and food security
cg.subject.impactPlatformNutrition, Health and Food Security
cg.subject.sdgSDG 1 - No poverty
cg.subject.sdgSDG 2 - Zero hunger
cg.volumeScientific Reports volume 14
dc.contributor.authorVetriventhan, Mani
dc.contributor.authorUpadhyaya, Hari D.
dc.contributor.authorDeshpande, Santosh
dc.contributor.authorJohnson, Matthew S.
dc.contributor.authorWallace, Jason G.
dc.contributor.authorVictor, Allan
dc.contributor.authorNaresh, D.
dc.contributor.authorRayaprolu, Laavanya
dc.contributor.authorSingh, Kuldeep
dc.contributor.authorMayes, Sean
dc.date.accessioned2025-02-13T12:55:59Z
dc.date.available2025-02-13T12:55:59Z
dc.identifier.urihttps://hdl.handle.net/10568/173018
dc.titleGenome-wide assessment of population structure and association mapping for agronomic and grain nutritional traits in proso millet (Panicum miliaceum L.)
dcterms.abstractProso millet is an important but under-researched and underutilized crop with the potential to become a future smart crop because of its climate-resilient features and high nutrient content. Assessing diversity and marker-trait associations are essential to support the genomics-assisted improvement of proso millet. This study aimed to assess the population structure and diversity of a proso millet diversity panel and identify marker-trait associations for agronomic and grain nutrient traits. In this study, genome-wide single nucleotide polymorphisms (SNPs) were identified by mapping raw genotyping-by-sequencing (GBS) data onto the proso millet genome, resulting in 5621 quality-filtered SNPs in 160 diverse accessions. The modified Roger's Distance assessment indicated an average distance of 0.268 among accessions, with the race miliaceum exhibiting the highest diversity and ovatum the lowest. Proso millet germplasm diversity was structured according to geographic centers of origin and domestication. Genome-wide association mapping identified 40 marker-trait associations (MTAs), including 34 MTAs for agronomic traits and 6 for grain nutrients; 20 of these MTAs were located within genes. Favourable alleles and phenotypic values were estimated for all MTAs. This study provides valuable insights into the population structure and diversity of proso millet, identified marker-trait associations, and reported favourable alleles and their phenotypic values for supporting genomics-assisted improvement efforts in proso millet.
dcterms.accessRightsOpen Access
dcterms.audienceAcademics
dcterms.available2024-09-19
dcterms.bibliographicCitationVetriventhan, Mani; Upadhyaya,Hari D.; Deshpande, Santosh; Johnson, Matthew S.; Wallace, Jason G.; Victor, Allan; Naresh, D.; Rayaprolu, Laavanya; Singh, Kuldeep; Mayes, Sean. 2024. Genome-wide assessment of population structure and association mapping for agronomic and grain nutritional traits in proso millet (Panicum miliaceum L.) Scientific reports 14, no. 1 (2024): 21920.
dcterms.issued2024-06-13
dcterms.languageen
dcterms.licenseCC-BY-NC-ND-4.0
dcterms.publisher
dcterms.subjectproso millet
dcterms.subjectagronomic characters
dcterms.subjectnutritive value
dcterms.subjectagrobiodiversity
dcterms.subjectnutrition
dcterms.subjectgenomes
dcterms.typeJournal Article

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