Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools

dc.contributor.authorGaikpa, David Sewordor
dc.contributor.authorKessel, Bettina
dc.contributor.authorPresterl, Thomas
dc.contributor.authorOuzunova, Milena
dc.contributor.authorGaliano-Carneiro, Ana L.
dc.contributor.authorMayer, Manfred
dc.contributor.authorMelchinger, Albrecht E.
dc.contributor.authorSchön, Chris-Carolin
dc.contributor.authorMiedaner, Thomas
dc.date.accessioned2024-09-03T08:32:00Z
dc.date.available2024-09-03T08:32:00Z
dc.date.issued2021de
dc.description.abstractFusarium graminearum (Fg) causes Gibberella ear rot (GER) in maize leading to yield reduction and contamination of grains with several mycotoxins. This study aimed to elucidate the molecular basis of GER resistance among 500 doubled haploid lines derived from two European maize landraces, “Kemater Landmais Gelb” (KE) and “Petkuser Ferdinand Rot” (PE). The two landraces were analyzed individually using genome-wide association studies and genomic selection (GS). The lines were genotyped with a 600-k maize array and phenotyped for GER severity, days to silking, plant height, and seed-set in four environments using artificial infection with a highly aggressive Fg isolate. High genotypic variances and broad-sense heritabilities were found for all traits. Genotype-environment interaction was important throughout. The phenotypic (r) and genotypic (rg) correlations between GER severity and three agronomic traits were low (r=  − 0.27 to 0.20; rg =  − 0.32 to 0.22). For GER severity, eight QTLs were detected in KE jointly explaining 34% of the genetic variance. In PE, no significant QTLs for GER severity were detected. No common QTLs were found between GER severity and the three agronomic traits. The mean prediction accuracies (p) of weighted GS (wRR-BLUP) were higher than p of marker-assisted selection (MAS) and unweighted GS (RR-BLUP) for GER severity. Using KE as the training set and PE as the validation set resulted in very low p that could be improved by using fixed marker effects in the GS model.en
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/16319
dc.identifier.urihttps://doi.org/10.1007/s00122-020-03731-9
dc.language.isoengde
dc.rights.licensecc_byde
dc.source1432-2242de
dc.sourceTheoretical and Applied Genetics; Vol. 134, No. 3 (2020), 793-805de
dc.subjectZea mays
dc.subjectGibberella ear rot
dc.subjectFusarium graminearum
dc.subjectGenome-wide association study
dc.subjectGenomic selection
dc.subject.ddc630
dc.titleExploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic toolsen
dc.type.diniArticle
dcterms.bibliographicCitationTheoretical and applied genetics, 134 (2021), 3, 793-805. https://doi.org/10.1007/s00122-020-03731-9. ISSN: 1432-2242
dcterms.bibliographicCitation.issn1432-2242
dcterms.bibliographicCitation.issue3
dcterms.bibliographicCitation.journaltitleTheoretical and applied genetics
dcterms.bibliographicCitation.volume134
local.export.bibtex@article{Gaikpa2021, doi = {10.1007/s00122-020-03731-9}, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16319}, author = {Gaikpa, David Sewordor and Kessel, Bettina and Presterl, Thomas et al.}, title = {Exploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools}, journal = {Theoretical and applied genetics}, year = {2021}, volume = {134}, number = {3}, pages = {793-805}, }
local.subject.sdg2
local.subject.sdg12
local.title.fullExploiting genetic diversity in two European maize landraces for improving Gibberella ear rot resistance using genomic tools

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