QTL mapping under salt stress in rice using a Kalarata–Azucena population
Salt stress is a major constraint across large rice production areas in Asia, because of the high sensitivity of modern rice varieties. To identify quantitative trait loci (QTL) associated with salt tolerance in rice, we developed an F2 population from a cross between the salt-tolerant landrace, Kal...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Springer
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/164068 |
| _version_ | 1855519088826122240 |
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| author | de Ocampo, Marjorie P. Ho, Viet The Thomson, Michael J. Mitsuya, Shiro Yamauchi, Akira Ismail, Abdelbagi M. |
| author_browse | Ho, Viet The Ismail, Abdelbagi M. Mitsuya, Shiro Thomson, Michael J. Yamauchi, Akira de Ocampo, Marjorie P. |
| author_facet | de Ocampo, Marjorie P. Ho, Viet The Thomson, Michael J. Mitsuya, Shiro Yamauchi, Akira Ismail, Abdelbagi M. |
| author_sort | de Ocampo, Marjorie P. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Salt stress is a major constraint across large rice production areas in Asia, because of the high sensitivity of modern rice varieties. To identify quantitative trait loci (QTL) associated with salt tolerance in rice, we developed an F2 population from a cross between the salt-tolerant landrace, Kalarata, and the salt-sensitive parent, Azucena. F3 families from this population were screened and scored for salt tolerance using IRRI’s Standard evaluation system (SES). Growth, biomass, Na+ and K+ concentrations in leaf tissues, and chlorophyll concentration were determined. A genetic linkage map was constructed with 151 SSRs and InDel markers, which cover 1463 cM with an average distance of 9.69 cM between loci. A total of 13 QTL were identified using Composite Interval Mapping for 16 traits. Several novel QTL were identified in this study, the largest is for root sodium concentration (LOD = 11.0, R2 = 25.0) on chromosome 3, which also co-localize with a QTL for SES. Several QTL on the short arm of chromosome 1 coincide with the Saltol locus identified before. The novel QTL identified in this study constitute future targets for molecular breeding, to combine them with other QTL identified before, for higher tolerance and stable performance of rice varieties in salt affected soils. |
| format | Journal Article |
| id | CGSpace164068 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1640682024-12-19T14:12:08Z QTL mapping under salt stress in rice using a Kalarata–Azucena population de Ocampo, Marjorie P. Ho, Viet The Thomson, Michael J. Mitsuya, Shiro Yamauchi, Akira Ismail, Abdelbagi M. horticulture plant science genetics agronomy and crop science Salt stress is a major constraint across large rice production areas in Asia, because of the high sensitivity of modern rice varieties. To identify quantitative trait loci (QTL) associated with salt tolerance in rice, we developed an F2 population from a cross between the salt-tolerant landrace, Kalarata, and the salt-sensitive parent, Azucena. F3 families from this population were screened and scored for salt tolerance using IRRI’s Standard evaluation system (SES). Growth, biomass, Na+ and K+ concentrations in leaf tissues, and chlorophyll concentration were determined. A genetic linkage map was constructed with 151 SSRs and InDel markers, which cover 1463 cM with an average distance of 9.69 cM between loci. A total of 13 QTL were identified using Composite Interval Mapping for 16 traits. Several novel QTL were identified in this study, the largest is for root sodium concentration (LOD = 11.0, R2 = 25.0) on chromosome 3, which also co-localize with a QTL for SES. Several QTL on the short arm of chromosome 1 coincide with the Saltol locus identified before. The novel QTL identified in this study constitute future targets for molecular breeding, to combine them with other QTL identified before, for higher tolerance and stable performance of rice varieties in salt affected soils. 2022-06 2024-12-19T12:53:24Z 2024-12-19T12:53:24Z Journal Article https://hdl.handle.net/10568/164068 en Open Access Springer de Ocampo, Marjorie P.; Ho, Viet The; Thomson, Michael J.; Mitsuya, Shiro; Yamauchi, Akira and Ismail, Abdelbagi M. 2022. QTL mapping under salt stress in rice using a Kalarata–Azucena population. Euphytica, Volume 218, no. 6 |
| spellingShingle | horticulture plant science genetics agronomy and crop science de Ocampo, Marjorie P. Ho, Viet The Thomson, Michael J. Mitsuya, Shiro Yamauchi, Akira Ismail, Abdelbagi M. QTL mapping under salt stress in rice using a Kalarata–Azucena population |
| title | QTL mapping under salt stress in rice using a Kalarata–Azucena population |
| title_full | QTL mapping under salt stress in rice using a Kalarata–Azucena population |
| title_fullStr | QTL mapping under salt stress in rice using a Kalarata–Azucena population |
| title_full_unstemmed | QTL mapping under salt stress in rice using a Kalarata–Azucena population |
| title_short | QTL mapping under salt stress in rice using a Kalarata–Azucena population |
| title_sort | qtl mapping under salt stress in rice using a kalarata azucena population |
| topic | horticulture plant science genetics agronomy and crop science |
| url | https://hdl.handle.net/10568/164068 |
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