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dc.contributor.author
Lin, Feng  
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Chhapekar, Sushil Satish  
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Vieira, Caio Canella  
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Da Silva, Marcos Paulo  
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Rojas, Alejandro  
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Lee, Dongho  
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Liu, Nianxi  
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Pardo, Esteban Mariano  
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Lee, Yi Chen  
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Dong, Zhimin  
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Pinheiro, Jose Baldin  
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Ploper, Leonardo Daniel  
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Rupe, John  
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Chen, Pengyin  
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Wang, Dechun  
dc.contributor.author
Nguyen, Henry T.  
dc.date.available
2024-01-03T12:01:38Z  
dc.date.issued
2022-11  
dc.identifier.citation
Lin, Feng; Chhapekar, Sushil Satish; Vieira, Caio Canella; Da Silva, Marcos Paulo; Rojas, Alejandro; et al.; Breeding for disease resistance in soybean: a global perspective; Springer; Theoretical And Applied Genetics; 135; 11; 11-2022; 3773-3872  
dc.identifier.issn
0040-5752  
dc.identifier.uri
http://hdl.handle.net/11336/222172  
dc.description.abstract
Key message: This review provides a comprehensive atlas of QTLs, genes, and alleles conferring resistance to 28 important diseases in all major soybean production regions in the world. Abstract: Breeding disease-resistant soybean [Glycine max (L.) Merr.] varieties is a common goal for soybean breeding programs to ensure the sustainability and growth of soybean production worldwide. However, due to global climate change, soybean breeders are facing strong challenges to defeat diseases. Marker-assisted selection and genomic selection have been demonstrated to be successful methods in quickly integrating vertical resistance or horizontal resistance into improved soybean varieties, where vertical resistance refers to R genes and major effect QTLs, and horizontal resistance is a combination of major and minor effect genes or QTLs. This review summarized more than 800 resistant loci/alleles and their tightly linked markers for 28 soybean diseases worldwide, caused by nematodes, oomycetes, fungi, bacteria, and viruses. The major breakthroughs in the discovery of disease resistance gene atlas of soybean were also emphasized which include: (1) identification and characterization of vertical resistance genes reside rhg1 and Rhg4 for soybean cyst nematode, and exploration of the underlying regulation mechanisms through copy number variation and (2) map-based cloning and characterization of Rps11 conferring resistance to 80% isolates of Phytophthora sojae across the USA. In this review, we also highlight the validated QTLs in overlapping genomic regions from at least two studies and applied a consistent naming nomenclature for these QTLs. Our review provides a comprehensive summary of important resistant genes/QTLs and can be used as a toolbox for soybean improvement. Finally, the summarized genetic knowledge sheds light on future directions of accelerated soybean breeding and translational genomics studies.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
SOYBEAN  
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DISEASE  
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RESISTANCE  
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BREEDING  
dc.subject.classification
Agricultura  
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Agricultura, Silvicultura y Pesca  
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CIENCIAS AGRÍCOLAS  
dc.title
Breeding for disease resistance in soybean: a global perspective  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-12-27T11:06:52Z  
dc.journal.volume
135  
dc.journal.number
11  
dc.journal.pagination
3773-3872  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlin  
dc.description.fil
Fil: Lin, Feng. Michigan State University; Estados Unidos  
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Fil: Chhapekar, Sushil Satish. University of Missouri; Estados Unidos  
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Fil: Vieira, Caio Canella. University of Missouri; Estados Unidos  
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Fil: Da Silva, Marcos Paulo. University of Arkansas for Medical Sciences; Estados Unidos  
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Fil: Rojas, Alejandro. University of Arkansas for Medical Sciences; Estados Unidos  
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Fil: Lee, Dongho. University of Missouri; Estados Unidos  
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Fil: Liu, Nianxi. Jilin Academy Of Agricultural Sciences; China  
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Fil: Pardo, Esteban Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Tecnología Agroindustrial del Noroeste Argentino. Provincia de Tucumán. Ministerio de Desarrollo Productivo. Estación Experimental Agroindustrial "Obispo Colombres" (p). Instituto de Tecnología Agroindustrial del Noroeste Argentino; Argentina  
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Fil: Lee, Yi Chen. University of Missouri; Estados Unidos  
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Fil: Dong, Zhimin. Jilin Academy Of Agricultural Sciences; China  
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Fil: Pinheiro, Jose Baldin. Escola Superior de Agricultura Luiz de Queiroz; Brasil  
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Fil: Ploper, Leonardo Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Tecnología Agroindustrial del Noroeste Argentino. Provincia de Tucumán. Ministerio de Desarrollo Productivo. Estación Experimental Agroindustrial "Obispo Colombres" (p). Instituto de Tecnología Agroindustrial del Noroeste Argentino; Argentina  
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Fil: Rupe, John. University of Arkansas for Medical Sciences; Estados Unidos  
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Fil: Chen, Pengyin. University of Missouri; Estados Unidos  
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Fil: Wang, Dechun. Michigan State University; Estados Unidos  
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Fil: Nguyen, Henry T.. University of Missouri; Estados Unidos  
dc.journal.title
Theoretical And Applied Genetics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1007/s00122-022-04101-3  
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info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s00122-022-04101-3