| Optimizing water\|nitrogen coupling for greenhouse cucumber under brackish drip irrigation using a comprehensive evaluation model |
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| DOI：10.7606/j.issn.1000-7601.2026.03.18 |
| Key Words: greenhouse cucumber brackish drip irrigation quality yield GRA-TOPSIS coupling regression model |
| Author Name | Affiliation | | CAO Man | College of Horticulture and Forestry, Key Laboratory of Southern Xinjiang Facility Agriculture Corps, Tarim University, Alar, Xinjiang 843300, China | | MA Xinchao | College of Horticulture and Forestry, Key Laboratory of Southern Xinjiang Facility Agriculture Corps, Tarim University, Alar, Xinjiang 843300, China | | TAN Zhanming | College of Horticulture and Forestry, Key Laboratory of Southern Xinjiang Facility Agriculture Corps, Tarim University, Alar, Xinjiang 843300, China | | WU Xinshu | College of Horticulture and Forestry, Key Laboratory of Southern Xinjiang Facility Agriculture Corps, Tarim University, Alar, Xinjiang 843300, China | | WANG Yujie | College of Horticulture and Forestry, Key Laboratory of Southern Xinjiang Facility Agriculture Corps, Tarim University, Alar, Xinjiang 843300, China | | LIU Ziyu | College of Horticulture and Forestry, Key Laboratory of Southern Xinjiang Facility Agriculture Corps, Tarim University, Alar, Xinjiang 843300, China | | ZHANG Rui | College of Horticulture and Forestry, Key Laboratory of Southern Xinjiang Facility Agriculture Corps, Tarim University, Alar, Xinjiang 843300, China | | WANG Yifan | College of Horticulture and Forestry, Key Laboratory of Southern Xinjiang Facility Agriculture Corps, Tarim University, Alar, Xinjiang 843300, China |
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| Abstract: |
| This study investigated the effects of water and fertilizer regimes on cucumber yield and overall quality under different salinity levels of brackish water. The objective was to develop water\|nitrogen\|salt regulation strategies suitable for achieving high\|quality, high\|yield greenhouse cucumber production in southern Xinjiang. The salinity of brackish water, irrigation level, and nitrogen application rate were set as three factors, and nitrogen application rate was conducted using a second\|order saturated D-optimal design (10-point design with P=3). Conventional water\|fertilizer management under freshwater irrigation (salinity 0.7 g·L-1) served as the control (CK). Nine quality indicators and yield were measured to evaluate the regulatory effects of different water\|fertilizer regimes. The weights of each indicator were determined using the analytic hierarchy process, entropy weighting, and a game\|theory\|based combination weighting method. A comprehensive evaluation of treatments was then performed by applying grey relational analysis and the technique for order preference by similarity to an ideal solution. Subsequently, a quadratic polynomial regression model was established, with coded values of salinity, irrigation level, and nitrogen application as independent variables, and the integrated quality score and yield as dependent variables. Model analysis revealed that salinity, irrigation, and nitrogen application all had significant effects on both integrated quality and yield. The quality score was most strongly affected by nitrogen, followed by irrigation, while salinity had the weakest effect. In contrast, yield was primarily influenced by salinity, followed by nitrogen, with irrigation exerting the least influence. Significant interactions were also observed among salinity, irrigation, and nitrogen. Under the experimental conditions, the optimal water\|nitrogen coupling scheme was identified as a brackish water salinity of 2.00-2.18 g·L-1, an irrigation level of (80.70%-92.53%)θf, and a nitrogen application rate of 434.4-580.0 kg·hm-2. |
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