Genetic analysis of heat tolerance at anthesis in rice
Genetic analysis of heat tolerance will help breeders produce rice (Oryza sativa L.) varieties adapted to future climates. An F6 population of 181 recombinant inbred lines of Bala (tolerant) × Azucena (susceptible) was screened for heat tolerance at anthesis by measuring spikelet fertility at 30°C (...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2010
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/166019 |
| _version_ | 1855517355467079680 |
|---|---|
| author | Jagadish, S.V.K. Cairns, J. Lafitte, R. Wheeler, T.R. Price, A.H. Craufurd, P.Q. |
| author_browse | Cairns, J. Craufurd, P.Q. Jagadish, S.V.K. Lafitte, R. Price, A.H. Wheeler, T.R. |
| author_facet | Jagadish, S.V.K. Cairns, J. Lafitte, R. Wheeler, T.R. Price, A.H. Craufurd, P.Q. |
| author_sort | Jagadish, S.V.K. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Genetic analysis of heat tolerance will help breeders produce rice (Oryza sativa L.) varieties adapted to future climates. An F6 population of 181 recombinant inbred lines of Bala (tolerant) × Azucena (susceptible) was screened for heat tolerance at anthesis by measuring spikelet fertility at 30°C (control) and 38°C (high temperature) in experiments conducted in the Philippines and the United Kingdom. The parents varied significantly for absolute spikelet fertility under control (79–87%) and at high temperature (2.9–47.1%), and for relative spikelet fertility (high temperature/control) at high temperature (3.7–54.9%). There was no correlation between spikelet fertility in control and high‐temperature conditions and no common quantitative trait loci (QTLs) were identified. Two QTLs for spikelet fertility under control conditions were identified on chromosomes 2 and 4. Eight QTLs for spikelet fertility under high‐temperature conditions were identified on chromosomes 1, 2, 3, 8, 10, and 11. The most significant heat‐responsive QTL, contributed by Bala and explaining up to 18% of the phenotypic variation, was identified on chromosome 1 (38.35 mega base pairs on the rice physical genome map). This QTL was also found to influence plant height, explaining 36.6% of the phenotypic variation. A comparison with other studies of abiotic (drought, cold, salinity) stresses showed QTLs at similar positions on chromosomes 1, 3, 8, and 10, suggesting common underlying stress‐responsive regions of the genome. |
| format | Journal Article |
| id | CGSpace166019 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2010 |
| publishDateRange | 2010 |
| publishDateSort | 2010 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1660192025-05-14T10:39:31Z Genetic analysis of heat tolerance at anthesis in rice Jagadish, S.V.K. Cairns, J. Lafitte, R. Wheeler, T.R. Price, A.H. Craufurd, P.Q. genetic analysis heat tolerance flowering spikelets fertility quantitative trait loci Genetic analysis of heat tolerance will help breeders produce rice (Oryza sativa L.) varieties adapted to future climates. An F6 population of 181 recombinant inbred lines of Bala (tolerant) × Azucena (susceptible) was screened for heat tolerance at anthesis by measuring spikelet fertility at 30°C (control) and 38°C (high temperature) in experiments conducted in the Philippines and the United Kingdom. The parents varied significantly for absolute spikelet fertility under control (79–87%) and at high temperature (2.9–47.1%), and for relative spikelet fertility (high temperature/control) at high temperature (3.7–54.9%). There was no correlation between spikelet fertility in control and high‐temperature conditions and no common quantitative trait loci (QTLs) were identified. Two QTLs for spikelet fertility under control conditions were identified on chromosomes 2 and 4. Eight QTLs for spikelet fertility under high‐temperature conditions were identified on chromosomes 1, 2, 3, 8, 10, and 11. The most significant heat‐responsive QTL, contributed by Bala and explaining up to 18% of the phenotypic variation, was identified on chromosome 1 (38.35 mega base pairs on the rice physical genome map). This QTL was also found to influence plant height, explaining 36.6% of the phenotypic variation. A comparison with other studies of abiotic (drought, cold, salinity) stresses showed QTLs at similar positions on chromosomes 1, 3, 8, and 10, suggesting common underlying stress‐responsive regions of the genome. 2010-09 2024-12-19T12:55:45Z 2024-12-19T12:55:45Z Journal Article https://hdl.handle.net/10568/166019 en Wiley Jagadish, S. V. K.; Cairns, J.; Lafitte, R.; Wheeler, T. R.; Price, A. H. and Craufurd, P. Q. 2010. Genetic analysis of heat tolerance at anthesis in rice. Crop Science, Volume 50 no. 5 p. 1633-1641 |
| spellingShingle | genetic analysis heat tolerance flowering spikelets fertility quantitative trait loci Jagadish, S.V.K. Cairns, J. Lafitte, R. Wheeler, T.R. Price, A.H. Craufurd, P.Q. Genetic analysis of heat tolerance at anthesis in rice |
| title | Genetic analysis of heat tolerance at anthesis in rice |
| title_full | Genetic analysis of heat tolerance at anthesis in rice |
| title_fullStr | Genetic analysis of heat tolerance at anthesis in rice |
| title_full_unstemmed | Genetic analysis of heat tolerance at anthesis in rice |
| title_short | Genetic analysis of heat tolerance at anthesis in rice |
| title_sort | genetic analysis of heat tolerance at anthesis in rice |
| topic | genetic analysis heat tolerance flowering spikelets fertility quantitative trait loci |
| url | https://hdl.handle.net/10568/166019 |
| work_keys_str_mv | AT jagadishsvk geneticanalysisofheattoleranceatanthesisinrice AT cairnsj geneticanalysisofheattoleranceatanthesisinrice AT lafitter geneticanalysisofheattoleranceatanthesisinrice AT wheelertr geneticanalysisofheattoleranceatanthesisinrice AT priceah geneticanalysisofheattoleranceatanthesisinrice AT craufurdpq geneticanalysisofheattoleranceatanthesisinrice |