Genomic prediction of zinc-biofortification potential in rice gene bank accessions

Simple item page
cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.crpAgriculture for Nutrition and Health
cg.contributor.donorScience and Technology Research Partnership for Sustainable Developmenten
cg.contributor.donorJapan Science and Technology Agencyen
cg.contributor.donorJapan International Cooperation Agencyen
cg.contributor.donorCGIAR Trust Funden
cg.coverage.countryMadagascar
cg.coverage.iso3166-alpha2MG
cg.coverage.regionEastern Africa
cg.coverage.regionSub-Saharan Africa
cg.coverage.regionAfrica
cg.identifier.doihttps://doi.org/10.1007/s00122-022-04110-2en
cg.identifier.projectIFPRI - HarvestPlusen
cg.isijournalISI Journalen
cg.issn0040-5752en
cg.issue7en
cg.journalTheoretical and Applied Geneticsen
cg.reviewStatusPeer Reviewen
cg.volume135en
dc.contributor.authorRakotondramanana, Mbolatantelyen
dc.contributor.authorTanaka, Ryokeien
dc.contributor.authorPariasca-Tanaka, Juanen
dc.contributor.authorStangoulis, Jamesen
dc.contributor.authorGrenier, Cécileen
dc.contributor.authorWissuwa, Matthiasen
dc.date.accessioned2025-01-29T12:58:15Zen
dc.date.available2025-01-29T12:58:15Zen
dc.identifier.urihttps://hdl.handle.net/10568/171493
dc.titleGenomic prediction of zinc-biofortification potential in rice gene bank accessionsen
dcterms.abstractIncreasing zinc (Zn) concentrations in edible parts of food crops, an approach termed Zn-biofortification, is a global breeding objective to alleviate micro-nutrient malnutrition. In particular, infants in countries like Madagascar are at risk of Zn deficiency because their dominant food source, rice, contains insufficient Zn. Biofortified rice varieties with increased grain Zn concentrations would offer a solution and our objective is to explore the genotypic variation present among rice gene bank accessions and to possibly identify underlying genetic factors through genomic prediction and genome-wide association studies (GWAS). A training set of 253 rice accessions was grown at two field sites in Madagascar to determine grain Zn concentrations and grain yield. A multi-locus GWAS analysis identified eight loci. Among these, QTN_11.3 had the largest effect and a rare allele increased grain Zn concentrations by 15%. A genomic prediction model was developed from the above training set to predict Zn concentrations of 3000 sequenced rice accessions. Predicted concentrations ranged from 17.1 to 40.2 ppm with a prediction accuracy of 0.51. An independent confirmation with 61 gene bank seed samples provided high correlations (r = 0.74) between measured and predicted values. Accessions from the aus sub-species had the highest predicted grain Zn concentrations and these were confirmed in additional field experiments, with one potential donor having more than twice the grain Zn compared to a local check variety. We conclude utilizing donors from the aus sub-species and employing genomic selection during the breeding process is the most promising approach to raise grain Zn concentrations in rice.en
dcterms.accessRightsOpen Access
dcterms.available2022-05-26en
dcterms.bibliographicCitationRakotondramanana, Mbolatantely; Tanaka, Ryokei; Pariasca-Tanaka, Juan; Stangoulis, James; Grenier, Cécile; and Wissuwa, Matthias. 2022. Genomic prediction of zinc-biofortification potential in rice gene bank accessions. Theoretical and Applied Genetics 135: 2265-2278. https://doi.org/10.1007/s00122-022-04110-2en
dcterms.extentpp. 2265-2278en
dcterms.issued2022-07en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherSpringeren
dcterms.subjectbiofortificationen
dcterms.subjectzincen
dcterms.subjectgrainen
dcterms.subjectfarmsen
dcterms.subjectgenomicsen
dcterms.subjectmodelsen
dcterms.subjectriceen
dcterms.subjectnutritionen
dcterms.subjecttrace elementsen
dcterms.subjectyieldsen
dcterms.subjectgene banksen
dcterms.typeJournal Article

Files

Collections

CRP A4NH outputs