Identification of QTLs for yield and agronomic traits in rice under stagnant flooding conditions
Stagnant flooding, where water of 25–50 cm remains until harvest time, is a major problem in rainfed lowland areas. Most of the Sub1 varieties, which can withstand around 2 weeks of complete submergence, perform poorly in these conditions. Hence, varieties tolerant of stagnant flooding are essential...
| Autores principales: | , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2017
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| Acceso en línea: | https://hdl.handle.net/10568/165062 |
| _version_ | 1855528611421880320 |
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| author | Singh, Anshuman Carandang, Jerome Gonzaga, Zennia Jean C. Collard, Bertrand C. Y. Ismail, Abdelbagi M. Septiningsih, Endang M. |
| author_browse | Carandang, Jerome Collard, Bertrand C. Y. Gonzaga, Zennia Jean C. Ismail, Abdelbagi M. Septiningsih, Endang M. Singh, Anshuman |
| author_facet | Singh, Anshuman Carandang, Jerome Gonzaga, Zennia Jean C. Collard, Bertrand C. Y. Ismail, Abdelbagi M. Septiningsih, Endang M. |
| author_sort | Singh, Anshuman |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Stagnant flooding, where water of 25–50 cm remains until harvest time, is a major problem in rainfed lowland areas. Most of the Sub1 varieties, which can withstand around 2 weeks of complete submergence, perform poorly in these conditions. Hence, varieties tolerant of stagnant flooding are essential. Results This paper presents the first study to map QTLs associated with tolerance to stagnant flooding, along with a parallel study under normal irrigation, using an F7 mapping population consisting of 148 RILs derived from a cross of Ciherang-Sub1 and the stagnant-flooding tolerant line IR10F365. Phenotypic data was collected for 15 key traits under both environments. Additionally, survival rate was measured under stress conditions. Genotyping was performed using the Illumina Infinium genotyping platform with a 6 K SNP chip, resulting in 469 polymorphic SNPs. Under stress and irrigated conditions, 38 and 46 QTLs were identified, respectively. Clusters of QTLs were detected in both stress and normal conditions, especially on chromosomes 3 and 5. Unique and common QTLs were identified and their physiological consequences are discussed. These beneficial QTLs can be used as targets for molecular breeding and can be further investigated to understand the underlying molecular mechanisms involved in stagnant flooding tolerance in rice |
| format | Journal Article |
| id | CGSpace165062 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1650622024-12-19T14:12:51Z Identification of QTLs for yield and agronomic traits in rice under stagnant flooding conditions Singh, Anshuman Carandang, Jerome Gonzaga, Zennia Jean C. Collard, Bertrand C. Y. Ismail, Abdelbagi M. Septiningsih, Endang M. Stagnant flooding, where water of 25–50 cm remains until harvest time, is a major problem in rainfed lowland areas. Most of the Sub1 varieties, which can withstand around 2 weeks of complete submergence, perform poorly in these conditions. Hence, varieties tolerant of stagnant flooding are essential. Results This paper presents the first study to map QTLs associated with tolerance to stagnant flooding, along with a parallel study under normal irrigation, using an F7 mapping population consisting of 148 RILs derived from a cross of Ciherang-Sub1 and the stagnant-flooding tolerant line IR10F365. Phenotypic data was collected for 15 key traits under both environments. Additionally, survival rate was measured under stress conditions. Genotyping was performed using the Illumina Infinium genotyping platform with a 6 K SNP chip, resulting in 469 polymorphic SNPs. Under stress and irrigated conditions, 38 and 46 QTLs were identified, respectively. Clusters of QTLs were detected in both stress and normal conditions, especially on chromosomes 3 and 5. Unique and common QTLs were identified and their physiological consequences are discussed. These beneficial QTLs can be used as targets for molecular breeding and can be further investigated to understand the underlying molecular mechanisms involved in stagnant flooding tolerance in rice 2017-12 2024-12-19T12:54:39Z 2024-12-19T12:54:39Z Journal Article https://hdl.handle.net/10568/165062 en Open Access Springer Singh, Anshuman; Carandang, Jerome; Gonzaga, Zennia Jean C.; Collard, Bertrand C. Y.; Ismail, Abdelbagi M. and Septiningsih, Endang M. 2017. Identification of QTLs for yield and agronomic traits in rice under stagnant flooding conditions. Rice, Volume 10, no. 1 |
| spellingShingle | Singh, Anshuman Carandang, Jerome Gonzaga, Zennia Jean C. Collard, Bertrand C. Y. Ismail, Abdelbagi M. Septiningsih, Endang M. Identification of QTLs for yield and agronomic traits in rice under stagnant flooding conditions |
| title | Identification of QTLs for yield and agronomic traits in rice under stagnant flooding conditions |
| title_full | Identification of QTLs for yield and agronomic traits in rice under stagnant flooding conditions |
| title_fullStr | Identification of QTLs for yield and agronomic traits in rice under stagnant flooding conditions |
| title_full_unstemmed | Identification of QTLs for yield and agronomic traits in rice under stagnant flooding conditions |
| title_short | Identification of QTLs for yield and agronomic traits in rice under stagnant flooding conditions |
| title_sort | identification of qtls for yield and agronomic traits in rice under stagnant flooding conditions |
| url | https://hdl.handle.net/10568/165062 |
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