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Discovery and validation of genomic regions associated with resistance to maize lethal necrosis in four biparental populations

Author: Gowda, M.
Author: Beyene, Y.
Author: Makumbi, D.
Author: Semagn, K.
Author: Olsen, M.
Author: Jumbo, M.B.
Author: Das, B.
Author: Mugo, S.N.
Author: Mahabaleswara, S.
Author: Prasanna, B.M.
Year: 2018
ISSN: 0378-4290
ISSN: ISSN: 1380-3743
ISSN: ISSN: 1572-9788
URI: https://hdl.handle.net/10883/19784
Descriptors: Genomics
Descriptors: Maize
Descriptors: Necrosis
Abstract: 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.
Language: English
Publisher: Springer
Publisher: Springer Verlag
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the sutable license for that purpose.
Type: Article
Place: Dordrecht, Netherland
Pages: art. 66
Journal: Molecular Breeding
Journal volume: 38
DOI: 10.1007/s11032-018-0829-7
Keywords: MLN
Keywords: MCMV
Keywords: QTL Mapping
Keywords: Joint Linkage Association Mapping
Keywords: GBS
Agrovoc: MAIZE
Agrovoc: INFECTIOUS DISEASES
Agrovoc: QUANTITATIVE TRAIT LOCI
Agrovoc: AGRICULTURAL SCIENCES AND BIOTECHNOLOGY
Agrovoc: MAIZE
Related Datasets: http://hdl.handle.net/11529/10201
Related Datasets: https://static-content.springer.com/esm/art%3A10.1007%2Fs11032-018-0829-7/MediaObjects/11032_2018_829_MOESM1_ESM.docx
Related Datasets: https://static-content.springer.com/esm/art%3A10.1007%2Fs11032-018-0829-7/MediaObjects/11032_2018_829_MOESM2_ESM.docx
Related Datasets: https://static-content.springer.com/esm/art%3A10.1007%2Fs11032-018-0829-7/MediaObjects/11032_2018_829_MOESM3_ESM.docx
Related Datasets: https://static-content.springer.com/esm/art%3A10.1007%2Fs11032-018-0829-7/MediaObjects/11032_2018_829_MOESM4_ESM.docx
Related Datasets: https://static-content.springer.com/esm/art%3A10.1007%2Fs11032-018-0829-7/MediaObjects/11032_2018_829_MOESM5_ESM.docx


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  • Maize
    Maize breeding, phytopathology, entomology, physiology, quality, and biotech

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