Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s00271-019-00639-1 |
Simulated tomato yield, soil moisture, and salinity using fresh and saline water: experimental and modeling study using the SALTMED model | |
Alkhasha, Arafat1,2; Al-Omran, Abdulrasoul1 | |
通讯作者 | Al-Omran, Abdulrasoul |
来源期刊 | IRRIGATION SCIENCE
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ISSN | 0342-7188 |
EISSN | 1432-1319 |
出版年 | 2019 |
卷号 | 37期号:5页码:637-655 |
英文摘要 | This study aimed to calibrate and validate the SALTMED model performance using field data of two growing seasons of tomato during 2017 and 2018, under soil amendment biochar, polymer, and their combination with a rate of 4% and 0.4%, respectively. The experiment included two treatments of deficit irrigation 80% and 60% ETc in addition to 100% ETc with fresh water electrical conductivity ECw = 0.9 dS m(-1) and saline water ECw = 3.6 dS m(-1). The SALTMED modeling result indicated that the SMC was overestimated and the coefficient of residual mass CRM value ranged from - 0.014 to - 0.032 for biochar and polymer, respectively. The salinity was slightly overestimated; CRM values were - 0.004 to - 0.025, except for biochar treatment, salinity was underestimated; CRM (0.021). In fact, there was a good relationship between the simulated and observed data; R-2 values were 0.94-0.95 for soil moisture content, whereas the R-2 values for salinity were 0.78-0.99. The model can efficiently simulate the yield of tomato, with fresh and saline water. The correlation between the simulated and observed yield was very good with R-2 = 0.99. The result of the calibration and validation of the SALTMED model indicates the ability of the model to predict tomato production, soil moisture content, and salinity under deficit irrigation strategies in semi-arid regions. |
类型 | Article |
语种 | 英语 |
国家 | Saudi Arabia ; Yemen |
收录类别 | SCI-E |
WOS记录号 | WOS:000482388900007 |
WOS关键词 | GENERIC INTEGRATED APPROACH ; IRRIGATION STRATEGIES ; FIELD MANAGEMENT ; CROP ; PERFORMANCE ; CALIBRATION ; VALIDATION ; QUALITIES ; EGYPT |
WOS类目 | Agronomy ; Water Resources |
WOS研究方向 | Agriculture ; Water Resources |
来源机构 | King Saud University |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/216564 |
作者单位 | 1.King Saud Univ, Coll Food & Agr Sci, Dept Soil Sci, Ryadh 11451, Saudi Arabia; 2.Gen Author Agr Res, El Kod 1837, Aden, Yemen |
推荐引用方式 GB/T 7714 | Alkhasha, Arafat,Al-Omran, Abdulrasoul. Simulated tomato yield, soil moisture, and salinity using fresh and saline water: experimental and modeling study using the SALTMED model[J]. King Saud University,2019,37(5):637-655. |
APA | Alkhasha, Arafat,&Al-Omran, Abdulrasoul.(2019).Simulated tomato yield, soil moisture, and salinity using fresh and saline water: experimental and modeling study using the SALTMED model.IRRIGATION SCIENCE,37(5),637-655. |
MLA | Alkhasha, Arafat,et al."Simulated tomato yield, soil moisture, and salinity using fresh and saline water: experimental and modeling study using the SALTMED model".IRRIGATION SCIENCE 37.5(2019):637-655. |
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