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Sitonik, C.

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Sitonik
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Sitonik, C.

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  • Understanding tropical maize (Zea mays L.): the major monocot in modernization and sustainability of agriculture in sub-Saharan Africa
    (BluePen Journals, 2019) Awata, L.A.O.; Tongoona, P.; Danquah, E.Y.; Ifie, B.E.; Suresh, L.M.; Jumbo, M.B; Marchelo-D’ragga, P.W.; Sitonik, C.
    Publication
  • Maize lethal necrosis and the molecular basis of variability in concentrations of the causal viruses in co-infected maize plant
    (Academic Journals, 2019) Awata, L.A.O.; Ifie, B.E.; Tongoona, P.; Danquah, E.Y.; Jumbo, M.B; Gowda, M.; Marchelo-D’ragga, P.W.; Sitonik, C.; Suresh, L.M.
    Publication
  • Genetic architecture of maize chlorotic mottle virus and maize lethal necrosis through GWAS, linkage analysis and genomic prediction in tropical maize germplasm
    (Springer, 2019) Sitonik, C.; Suresh, L.M.; Beyene, Y.; Olsen, M.; Makumbi, D.; Kiplagat, O.; Das, B.; Jumbo, M.B; Mugo, S.N.; Crossa, J.; Tarekegne, A.T.; Prasanna, B.M.; Gowda, M.
    Maize lethal necrosis (MLN) is a serious threat to the food security of maize-growing smallholders in sub-Saharan Africa. The ability of the maize chlorotic mottle virus (MCMV) to interact with other members of the Potyviridae causes severe yield losses in the form of MLN. The objective of the present study was to gain insights and validate the genetic architecture of resistance to MCMV and MLN in maize. We applied linkage mapping to three doubled-haploid populations and a genome-wide association study (GWAS) on 380 diverse maize lines. For all the populations, phenotypic variation for MCMV and MLN was significant, and heritability was moderate to high. Linkage mapping revealed 13 quantitative trait loci (QTLs) for MCMV resistance and 12 QTLs conferring MLN resistance. One major-effect QTL, qMCMV3-108/qMLN3-108, was consistent across populations for both MCMV and MLN resistance. Joint linkage association mapping (JLAM) revealed 18 and 21 main-effect QTLs for MCMV and MLN resistance, respectively. Another major-effect QTL, qMCMV6-17/qMLN6-17, was detected for both MCMV and MLN resistance. The GWAS revealed a total of 54 SNPs (MCMV-13 and MLN-41) significantly associated (P ≤ 5.60 × 10−05) with MCMV and MLN resistance. Most of the GWAS-identified SNPs were within or adjacent to the QTLs detected through linkage mapping. The prediction accuracy for within populations as well as the combined populations is promising; however, the accuracy was low across populations. Overall, MCMV resistance is controlled by a few major and many minor-effect loci and seems more complex than the genetic architecture for MLN resistance.
    Publication