| Coupling effects of water and fertilizer with drip irrigation of brackish water under film for cotton in south Xinjiang |
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| DOI：10.7606/j.issn.1000-7601.2013.02.27 |
| Key Words: brackish water drip irrigation nitrate-N coupling effect of water and fertilizer |
| Author Name | Affiliation | | LI Yongfa | College of Water Resource and Architectural Engineering, Tarim University, Alare, Xinjiang 843300, China | | WANG Xingpeng | College of Water Resource and Architectural Engineering, Tarim University, Alare, Xinjiang 843300, China | | WANG Long | College of Water Resource and Architectural Engineering, Tarim University, Alare, Xinjiang 843300, China | | YAO Baolin | College of Water Resource and Architectural Engineering, Tarim University, Alare, Xinjiang 843300, China | | ZHANG Zhixian | College of Water Resource and Architectural Engineering, Tarim University, Alare, Xinjiang 843300, China |
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| Abstract: |
| To find out an optimal model for the coupling effects of water and fertilizer under drip irrigation with low quality water (brackish water)， an orthogonal experiment was conducted to analyze the changes of water consumption, soil moisture and soil salt in cotton field at different growth stages. The results showed that the water consumption of cotton was related with irrigation quota and soil salt. At bud stage and early flowering and boll stage, the coefficients of variation of soil moisture were relatively high, while at late flowering and boll stage, the accumulation of soil nitrate-N was gradually increased. The irrigation of brackish water with 2～3 g·L-1 salinity mixed with fresh water produced little impact on soil salt accumulation in cotton field. Based on orthogonal analysis, the optimal management scheme were made, in which the irrigation quota, ratio of salty to fresh water and urea application amount were 600 mm, 2∶1 and 80 kg·667m-2, respectively. Analysis of varianc
e showed that the two factors of irrigation amount and fertilization affected the yield significantly. Furthermore, a quadratic regression model between these two factors and the yield was set up by using SPSS software. |
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