Varietal improvement options for higher rice productivity in salt affected areas using crop modelling
The rice model ORYZA v3 has been recently improved to account for salt stress effect on rice crop growth and yield. This paper details subsequent studies using the improved model to explore opportunities for improving salinity tolerance in rice. The objective was to identify combinations of plant tr...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2018
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/164767 |
| _version_ | 1855529571050323968 |
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| author | Radanielson, Ando M. Gaydon, Donald S. Rahman Khan, Md. Mahbubur Chaki, Apurbo K. Rahman, Md. Atikur Angeles, Olivyn Li, Tao Ismail, A. |
| author_browse | Angeles, Olivyn Chaki, Apurbo K. Gaydon, Donald S. Ismail, A. Li, Tao Radanielson, Ando M. Rahman Khan, Md. Mahbubur Rahman, Md. Atikur |
| author_facet | Radanielson, Ando M. Gaydon, Donald S. Rahman Khan, Md. Mahbubur Chaki, Apurbo K. Rahman, Md. Atikur Angeles, Olivyn Li, Tao Ismail, A. |
| author_sort | Radanielson, Ando M. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The rice model ORYZA v3 has been recently improved to account for salt stress effect on rice crop growth and yield. This paper details subsequent studies using the improved model to explore opportunities for improving salinity tolerance in rice. The objective was to identify combinations of plant traits influencing rice responses to salinity and to quantify yield gains by improving these traits. The ORYZA v3 model was calibrated and validated with field experimental data collected between 2012 and 2014 in Satkhira, Bangladesh and Infanta, Quezon, Philippines, then used for simulations scenario considering virtual varieties possessing different combinations of crop model parameter values related to crop salinity response and the soil salinity dynamic observed at Satkhira site. Simulation results showed that (i) short duration varieties could escape end of season increase in salinity, while long duration varieties could benefit from an irrigated desalinization period occurring during the later stages of crop growth in the Satkhira situation; (ii) combining short duration growth with salt tolerance (bTR and bPN) above 12 dS m−1 and a resilience trait (aSalt) of 0.11 in a variety, allows maintenance of 65–70% of rice yield under increasing salinity levels of up to 16 dS m−1; and (iii) increasing the value of the tolerance parameter b by 1% results in 0.3–0.4% increase in yield. These results are relevant for defining directions to increase rice productivity in saline environments, based on improvements in phenology and quantifiable salt tolerance traits. |
| format | Journal Article |
| id | CGSpace164767 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1647672024-12-19T14:12:55Z Varietal improvement options for higher rice productivity in salt affected areas using crop modelling Radanielson, Ando M. Gaydon, Donald S. Rahman Khan, Md. Mahbubur Chaki, Apurbo K. Rahman, Md. Atikur Angeles, Olivyn Li, Tao Ismail, A. cropping systems genotypes plant breeding productivity salinity salt tolerance varieties The rice model ORYZA v3 has been recently improved to account for salt stress effect on rice crop growth and yield. This paper details subsequent studies using the improved model to explore opportunities for improving salinity tolerance in rice. The objective was to identify combinations of plant traits influencing rice responses to salinity and to quantify yield gains by improving these traits. The ORYZA v3 model was calibrated and validated with field experimental data collected between 2012 and 2014 in Satkhira, Bangladesh and Infanta, Quezon, Philippines, then used for simulations scenario considering virtual varieties possessing different combinations of crop model parameter values related to crop salinity response and the soil salinity dynamic observed at Satkhira site. Simulation results showed that (i) short duration varieties could escape end of season increase in salinity, while long duration varieties could benefit from an irrigated desalinization period occurring during the later stages of crop growth in the Satkhira situation; (ii) combining short duration growth with salt tolerance (bTR and bPN) above 12 dS m−1 and a resilience trait (aSalt) of 0.11 in a variety, allows maintenance of 65–70% of rice yield under increasing salinity levels of up to 16 dS m−1; and (iii) increasing the value of the tolerance parameter b by 1% results in 0.3–0.4% increase in yield. These results are relevant for defining directions to increase rice productivity in saline environments, based on improvements in phenology and quantifiable salt tolerance traits. 2018-12 2024-12-19T12:54:16Z 2024-12-19T12:54:16Z Journal Article https://hdl.handle.net/10568/164767 en Open Access Elsevier Radanielson, Ando M.; Gaydon, Donald S.; Rahman Khan, Md. Mahbubur; Chaki, Apurbo K.; Rahman, Md. Atikur; Angeles, Olivyn; Li, Tao and Ismail, A. 2018. Varietal improvement options for higher rice productivity in salt affected areas using crop modelling. Field Crops Research, Volume 229 p. 27-36 |
| spellingShingle | cropping systems genotypes plant breeding productivity salinity salt tolerance varieties Radanielson, Ando M. Gaydon, Donald S. Rahman Khan, Md. Mahbubur Chaki, Apurbo K. Rahman, Md. Atikur Angeles, Olivyn Li, Tao Ismail, A. Varietal improvement options for higher rice productivity in salt affected areas using crop modelling |
| title | Varietal improvement options for higher rice productivity in salt affected areas using crop modelling |
| title_full | Varietal improvement options for higher rice productivity in salt affected areas using crop modelling |
| title_fullStr | Varietal improvement options for higher rice productivity in salt affected areas using crop modelling |
| title_full_unstemmed | Varietal improvement options for higher rice productivity in salt affected areas using crop modelling |
| title_short | Varietal improvement options for higher rice productivity in salt affected areas using crop modelling |
| title_sort | varietal improvement options for higher rice productivity in salt affected areas using crop modelling |
| topic | cropping systems genotypes plant breeding productivity salinity salt tolerance varieties |
| url | https://hdl.handle.net/10568/164767 |
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