biostudies-literatureBadu-Apraku BBill and Melinda Gates Foundation1012460https://www.ebi.ac.uk/biostudies/studies/S-EPMC9877281biostudies-literatureUnknown14The 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_2:3 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 enviroFrontiers in geneticsMapping quantitative trait loci and predicting candidate genes for <i>Striga</i> resistance in maize using resistance donor line derived from <i>Zea diploperennis</i>.PMC9877281OPP1134248Gedil MPaterne AOffornedo QBadu-Apraku BAdewale SfalseMapping quantitative trait loci and predicting candidate genes for <i>Striga</i> resistance in maize using resistance donor line derived from <i>Zea diploperennis</i>.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_2:3 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 enviro2023-01-01T00:00:00Z20232026-07-09T13:23:33.171Z2025-04-06T18:05:05.236ZS-EPMC98772813671307910.3389/fgene.2023.1012460