Person: Jumbo, M.B
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Jumbo
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M.B
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Jumbo, M.B
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0000-0001-5912-3046 15 results
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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 - Development and deployment of elite maize lines and hybrids resistant to Maize Lethal Necrosis(CIMMYT, 2019) Beyene, Y.; Suresh, L.M.; Gowda, M.; Makumbi, D.; Olsen, M.; Jumbo, M.B; Regasa, M.W.; Mugo, S.N.; Prasanna, B.M.
Publication - CIMMYT Eastern Africa Intermediate Maturity Maize Breeding Program(CIMMYT, 2019) Beyene, Y.; Mugo, S.N.; Jumbo, M.B; Regasa, M.W.; Gowda, M.; Suresh, L.M.; Chaikam, V.; Bruce, A.Y.; Olsen, M.; Prasanna, B.M.; Crossa, J.; Chavangi, A.; Gichobi, P.
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 - CIMMYT GMP Africa marker applications: The Carpenter’s Dilemma (…while waiting for the concrete to dry)(CIMMYT, 2018) Olsen, M.; Gowda, M.; Jumbo, M.B; Ogugo, V.; Ng’ang’a, M.; Murithi, A.; Tadesse, B.; Beyene, Y.; Xuecai Zhang; Dreher, K.; Shibin Gao; Crossa, J.; Jones, L.; Robbins, K.
Publication - Accelerated development and deployment of elite maize hybrids tolerant to maize lethal necrosis, a major disease of maize in eastern Africa(2018) Beyene, Y.; Gowda, M.; Olsen, M.; Jumbo, M.B; Makumbi, D.; Regasa, M.W.; Mugo, S.N.; Prasanna, B.M.
Publication - Advances in Breeding for Resistance/Tolerance to MLN(2018) Suresh, L.M.; Beyene, Y.; Makumbi, D.; Jumbo, M.B; Gowda, M.; Regasa, M.W.; Olsen, M.; Mugo, S.N.; Prasanna, B.M.
Publication - Development and deployment of elite maize hybrids for effectively tackling the Maize Lethal Necrosis (MNL), a major disease of maize in eastern Africa(CIMMYT, 2018) Beyene, Y.; Gowda, M.; Prasanna, B.M.; Mugo, S.N.; Regasa, M.W.; Makumbi, D.; Jumbo, M.B; Olsen, M.
Publication - Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations(Springer Verlag, 2018) Gowda, M.; Beyene, Y.; Makumbi, D.; Semagn, K.; Olsen, M.; Jumbo, M.B; Das, B.; Mugo, S.N.; Suresh, L.M.; Prasanna, B.M.In sub-Saharan Africa, maize is the key determinant of food security for smallholder farmers. The sudden outbreak of maize lethal necrosis (MLN) disease is seriously threatening the maize production in the region. Understanding the genetic basis of MLN resistance is crucial. In this study, we used four biparental populations applied linkage mapping and joint linkage mapping approaches to identify and validate the MLN resistance-associated genomic regions. All populations were genotyped with low to high density markers and phenotyped in multiple environments against MLN under artificial inoculation. Phenotypic variation for MLN resistance was significant and heritability was moderate to high in all four populations for both early and late stages of disease infection. Linkage mapping revealed three major quantitative trait loci (QTL) on chromosomes 3, 6, and 9 that were consistently detected in at least two of the four populations. Phenotypic variance explained by a single QTL in each population ranged from 3.9% in population 1 to 43.8% in population 2. Joint linkage association mapping across three populations with three biometric models together revealed 16 and 10 main effect QTL for MLN-early and MLN-late, respectively. The QTL identified on chromosomes 3, 5, 6, and 9 were consistent with the QTL identified by linkage mapping. Ridge regression best linear unbiased prediction with five-fold cross-validation revealed high accuracy for prediction across populations for both MLN-early and MLN-late. Overall, the study discovered and validated the presence of major effect QTL on chromosomes 3, 6, and 9 which can be potential candidates for marker-assisted breeding to improve the MLN resistance.
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