Simulating yield response of rice to salinity stress with the AquaCrop model. Issue 6 (13th April 2015)
- Record Type:
- Journal Article
- Title:
- Simulating yield response of rice to salinity stress with the AquaCrop model. Issue 6 (13th April 2015)
- Main Title:
- Simulating yield response of rice to salinity stress with the AquaCrop model
- Authors:
- Mondal, M. Shahjahan
Saleh, Abul Fazal M.
Razzaque Akanda, Md. Abdur
Biswas, Sujit K.
Md. Moslehuddin, Abu Zofar
Zaman, Sinora
Lazar, Attila N.
Clarke, Derek - Abstract:
- Abstract : The AquaCrop model is parameterized and tested under a saline environment to evaluate the potential impact of hydro-climatic changes on rice production. Abstract : The FAO AquaCrop model has been widely applied throughout the world to simulate crop responses to deficit water applications. However, its application to saline conditions is not yet reported, though saline soils are common in coastal areas. In this study, we parameterized and tested AquaCrop to simulate rice yield under different salinity regimes. The data and information required in the model were collected through a field experiment at the Bangladesh Agricultural Research Institute, Gazipur. The experiment was conducted with the BRRI Dhan28, a popular boro rice variety in Bangladesh, with five levels of saline water irrigation, three replicates for each level. In addition, field monitoring was carried out at Satkhira in the southwest coastal region of Bangladesh to collect data and information based on farmers' practices and to further validate the model. The results indicated that the AquaCrop model with most of its default parameters could replicate the variation of rice yield with the variation of salinity reasonably well. The root mean square error and mean absolute error of the model yield were only 0.12 t per ha and 0.03 t per ha, respectively. The crop response versus soil salinity stress curve was found to be convex in shape with a lower threshold of 2 dS m −1, an upper threshold of 10 dS mAbstract : The AquaCrop model is parameterized and tested under a saline environment to evaluate the potential impact of hydro-climatic changes on rice production. Abstract : The FAO AquaCrop model has been widely applied throughout the world to simulate crop responses to deficit water applications. However, its application to saline conditions is not yet reported, though saline soils are common in coastal areas. In this study, we parameterized and tested AquaCrop to simulate rice yield under different salinity regimes. The data and information required in the model were collected through a field experiment at the Bangladesh Agricultural Research Institute, Gazipur. The experiment was conducted with the BRRI Dhan28, a popular boro rice variety in Bangladesh, with five levels of saline water irrigation, three replicates for each level. In addition, field monitoring was carried out at Satkhira in the southwest coastal region of Bangladesh to collect data and information based on farmers' practices and to further validate the model. The results indicated that the AquaCrop model with most of its default parameters could replicate the variation of rice yield with the variation of salinity reasonably well. The root mean square error and mean absolute error of the model yield were only 0.12 t per ha and 0.03 t per ha, respectively. The crop response versus soil salinity stress curve was found to be convex in shape with a lower threshold of 2 dS m −1, an upper threshold of 10 dS m −1 and a shape factor of 2.4. As the crop production system in the coastal belt of Bangladesh has become vulnerable to climate induced sea-level rise and the consequent increase in water and soil salinity, the AquaCrop would be a useful tool in assessing the potential impact of these future changes as well as other climatic parameters on rice yield in the coastal region. … (more)
- Is Part Of:
- Environmental science. Volume 17:Issue 6(2015)
- Journal:
- Environmental science
- Issue:
- Volume 17:Issue 6(2015)
- Issue Display:
- Volume 17, Issue 6 (2015)
- Year:
- 2015
- Volume:
- 17
- Issue:
- 6
- Issue Sort Value:
- 2015-0017-0006-0000
- Page Start:
- 1118
- Page End:
- 1126
- Publication Date:
- 2015-04-13
- Subjects:
- Environmental monitoring -- Periodicals
Biological monitoring -- Periodicals
Environmental chemistry -- Periodicals
363.7363 - Journal URLs:
- http://pubs.rsc.org/en/journals/journalissues/em ↗
http://www.rsc.org/ ↗ - DOI:
- 10.1039/c5em00095e ↗
- Languages:
- English
- ISSNs:
- 2050-7887
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3791.619000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 448.xml