{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Badu-Apraku B"],"funding":["Bill and Melinda Gates Foundation"],"pagination":["1012460"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9877281"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14"],"pubmed_abstract":["The parasitic weed, <i>Striga</i> is a major biological constraint to cereal production in sub-Saharan Africa (SSA) and threatens food and nutrition security. Two hundred and twenty-three (223) F<sub>2:3</sub> mapping population involving individuals derived from TZdEI 352 x TZEI 916 were phenotyped for four <i>Striga</i>-adaptive traits and genotyped using the Diversity Arrays Technology (DArT) to determine the genomic regions responsible for <i>Striga</i> resistance in maize. After removing distorted SNP markers, a genetic linkage map was constructed using 1,918 DArTseq markers which covered 2092.1 cM. Using the inclusive composite interval mapping method in IciMapping, twenty-three QTLs influencing <i>Striga</i> resistance traits were identified across four <i>Striga</i>-infested enviro"],"journal":["Frontiers in genetics"],"pubmed_title":["Mapping quantitative trait loci and predicting candidate genes for <i>Striga</i> resistance in maize using resistance donor line derived from <i>Zea diploperennis</i>."],"pmcid":["PMC9877281"],"funding_grant_id":["OPP1134248"],"pubmed_authors":["Gedil M","Paterne A","Offornedo Q","Badu-Apraku B","Adewale S"],"additional_accession":[]},"is_claimable":false,"name":"Mapping quantitative trait loci and predicting candidate genes for <i>Striga</i> resistance in maize using resistance donor line derived from <i>Zea diploperennis</i>.","description":"The parasitic weed, <i>Striga</i> is a major biological constraint to cereal production in sub-Saharan Africa (SSA) and threatens food and nutrition security. Two hundred and twenty-three (223) F<sub>2:3</sub> mapping population involving individuals derived from TZdEI 352 x TZEI 916 were phenotyped for four <i>Striga</i>-adaptive traits and genotyped using the Diversity Arrays Technology (DArT) to determine the genomic regions responsible for <i>Striga</i> resistance in maize. After removing distorted SNP markers, a genetic linkage map was constructed using 1,918 DArTseq markers which covered 2092.1 cM. Using the inclusive composite interval mapping method in IciMapping, twenty-three QTLs influencing <i>Striga</i> resistance traits were identified across four <i>Striga</i>-infested enviro","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023","modification":"2026-07-09T13:23:33.171Z","creation":"2025-04-06T18:05:05.236Z"},"accession":"S-EPMC9877281","cross_references":{"pubmed":["36713079"],"doi":["10.3389/fgene.2023.1012460"]}}