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dc.contributor.author
Miedaner, Thomas
dc.contributor.author
Galiano Carneiro Boeven, Ana Luisa
dc.contributor.author
Gaikpa, David Sewodor
dc.contributor.author
Kistner, María Belén
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dc.contributor.author
Grote, Cathérine Pauline
dc.date.available
2022-10-06T16:03:44Z
dc.date.issued
2020-12
dc.identifier.citation
Miedaner, Thomas; Galiano Carneiro Boeven, Ana Luisa; Gaikpa, David Sewodor; Kistner, María Belén; Grote, Cathérine Pauline; Genomics-assisted breeding for quantitative disease resistances in small-grain cereals and maize; Multidisciplinary Digital Publishing Institute; International Journal of Molecular Sciences; 21; 24; 12-2020; 1-22
dc.identifier.issn
1422-0067
dc.identifier.uri
http://hdl.handle.net/11336/172275
dc.description.abstract
Generating genomics-driven knowledge opens a way to accelerate the resistance breeding process by family or population mapping and genomic selection. Important prerequisites are large populations that are genomically analyzed by medium- to high-density marker arrays and extensive phenotyping across locations and years of the same populations. The latter is important to train a genomic model that is used to predict genomic estimated breeding values of phenotypically untested genotypes. After reviewing the specific features of quantitative resistances and the basic genomic techniques, the possibilities for genomics-assisted breeding are evaluated for six pathosystems with hemi-biotrophic fungi: Small-grain cereals/Fusarium head blight (FHB), wheat/Septoria tritici blotch (STB) and Septoria nodorum blotch (SNB), maize/Gibberella ear rot (GER) and Fusarium ear rot (FER), maize/Northern corn leaf blight (NCLB). Typically, all quantitative disease resistances are caused by hundreds of QTL scattered across the whole genome, but often available in hotspots as exemplified for NCLB resistance in maize. Because all crops are suffering from many diseases, multi-disease resistance (MDR) is an attractive aim that can be selected by specific MDR QTL. Finally, the integration of genomic data in the breeding process for introgression of genetic resources and for the improvement within elite materials is discussed.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Multidisciplinary Digital Publishing Institute
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
GENETIC RESOURCES
dc.subject
MAIZE/GIBBERELLA AND FUSARIUM EAR ROT
dc.subject
MAIZE/NORTHERN CORN LEAF BLIGHT
dc.subject
MULTI-DISEASE RESISTANCE (MDR)
dc.subject
RESISTANCE BREEDING
dc.subject
SMALL-GRAIN CEREALS/ FUSARIUM HEAD BLIGHT
dc.subject
WHEAT/SEPTORIA NODORUM BLOTCH
dc.subject
WHEAT/SEPTORIA TRITICI BLOTCH
dc.subject.classification
Agronomía, reproducción y protección de plantas
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dc.subject.classification
Agricultura, Silvicultura y Pesca
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dc.subject.classification
CIENCIAS AGRÍCOLAS
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dc.title
Genomics-assisted breeding for quantitative disease resistances in small-grain cereals and maize
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-10-03T18:02:41Z
dc.journal.volume
21
dc.journal.number
24
dc.journal.pagination
1-22
dc.journal.pais
Suiza
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dc.journal.ciudad
Basilea
dc.description.fil
Fil: Miedaner, Thomas. Universidad de Hohenheim; Alemania
dc.description.fil
Fil: Galiano Carneiro Boeven, Ana Luisa. Kleinwanzlebener Saatzucht; Alemania. Universidad de Hohenheim; Alemania
dc.description.fil
Fil: Gaikpa, David Sewodor. Universidad de Hohenheim; Alemania
dc.description.fil
Fil: Kistner, María Belén. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina. Universidad de Hohenheim; Alemania
dc.description.fil
Fil: Grote, Cathérine Pauline. Universidad de Hohenheim; Alemania
dc.journal.title
International Journal of Molecular Sciences
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1422-0067/21/24/9717
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/ijms21249717
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