高级检索+

盐旱双重胁迫对滴灌土壤水盐环境及棉花产量品质的影响

Effects of combined saline-drought stress on the soil water-salt environment, cotton yield, and fiber quality of cotton under drip irrigation

  • 摘要: 干旱和盐碱问题是制约西北干旱区农业生产力的两大关键因素,而土壤水盐环境和棉花生长发育对盐旱双重胁迫的响应关系仍需进一步探索。基于此,本研究通过盆栽试验设置了4个土壤初始含盐量水平:T1(2 g/kg)、T2(4 g/kg)、T3(6 g/kg)和T4(8 g/kg),4个灌水定额水平:W1(3375 m3/hm2)、W2(3750 m3/hm2)、W3(4125 m3/hm2)和W4(4500 m3/hm2),4个灌溉水矿化度:S1(2 g/L)、S2(5 g/L)、S3(8 g/L)和S4(11 g/L),采用三因素四水平的正交试验设计,共16个处理,并应用相关性分析、结构方程模型与熵权法TOPSIS综合评价探究了盐旱胁迫对土壤水盐环境和棉花生长发育的影响。结果表明:各生育土壤含水率和土壤含盐量与土壤初始含盐量和灌溉水矿化度均呈线性正相关关系,与灌水定额基本呈现二次抛物线关系,但各生育时期变化规律不一致;此外,盐旱胁迫会显著降低棉花生长、光合特性、产量及水分利用效率,均在T4W1S4处理表现最差,其中产量和水分利用效率分别为924 kg/hm2和0.274 kg/m3,T4W2S3处理纤维综合品质指数最低,仅为8965.2;T3W3S1处理株高和叶面积指数最高,T1W2S2处理茎粗最优,T4W3S2处理棉花光合速率、蒸腾速率、气孔导度最大值和气孔导度最大,T3W4S2处理棉花籽棉产量最高,达5086 kg/hm2,T1W1S1处理水分利用效率和纤维综合品质指数最优,分别为10.314 kg/(hm2·mm)−112559.4。盐旱胁迫会改变土壤水盐环境,进而对作物生长发育过程产生影响,综合评价最优前三个处理分别为T1W2S2、T1W1S1和T2W2S1。研究可为西北干旱区棉花稳产增产提供一定理论参考依据。

     

    Abstract: Drought and soil salinity are two major limiting factors of agricultural productivity in arid northwest China. Particularly in Xinjiang, among the 7.09 million hm2 of cultivated land in Xinjiang, 2.96 million hm2 of cultivated land is affected by saline-alkali damage to varying degrees, accounting for more than 40 %, which seriously affects land productivity. At the same time, the ratio of agricultural water to total water consumption is more than 90 %, saline water resources have great application potential, but the potential threat to soil secondary salinization is also worrying. However, the response mechanisms of soil water-salt dynamics and cotton growth to salt-drought stress remain unclear. To address above mentioned issues, we used Xinluzao 42, a conventional cotton variety widely grown in Xinjiang Province, as the test material. Additionally, a pot experiment was conducted using a three-factor (soil salinity, irrigation volume, and water salinity) and four-level orthogonal design, comprising 16 treatments: four initial soil salinity levels (T1: 2 g/kg, T2: 4 g/kg, T3: 6 g/kg, T4: 8 g/kg), four irrigation volumes (W1: 3375 m3/hm2, W2: 3750 m3/hm2, W3: 4125 m3/hm2, W4: 4500 m3/hm2), and four irrigation water salinities (S1: 2 g/L, S2: 5 g/L, S3: 8 g/L, S4: 11 g/L) during 2022 in Shihezi, Xinjiang. We conducted a comparative study to investigate changes in soil water and salt content, growth and physiology of cotton, as well as seed cotton yield and fiber quality under combined salinity-drought stress in drip irrigation conditions, and their underlying relationships with soil water and salt environment with yield and fiber quality. Correlation analysis, structural equation modeling, and the entropy weight TOPSIS method were applied to comprehensively evaluate the effects of salt–drought stress on soil water–salt dynamics and cotton growth. The results showed that soil water content and salt concentration during different growth stages were linearly and positively correlated with initial soil salinity and irrigation water salinity, while they generally exhibited a quadratic relationship with irrigation quota, though patterns varied across growth stages. Salt–drought stress significantly reduced cotton growth, photosynthetic characteristics, yield, and water use efficiency (WUE), with the poorest performance observed under treatment T4W1S4, where yield and WUE were 924 kg/hm2 and 0.274 kg/m3, respectively. The fiber quality index was lowest (8965.2) under T4W2S3. The highest plant height and leaf area index were observed in T3W3S1, stem diameter in T1W2S2, and photosynthetic rate, transpiration rate, and stomatal conductance in T4W3S2. The highest lint yield (5086 kg/hm2) occurred under T3W4S2, while T1W1S1 achieved the best WUE (10.314 kg/hm2·mm-1) and fiber quality index (12,559.4). Salt–drought stress altered the soil water–salt environment, thereby affecting cotton growth and development. Specifically, the total effects of soil initial salinity and irrigation water salinity on cotton growth characteristics, photosynthetic characteristics, yield, water use efficiency, and fiber comprehensive quality index were all negative effects, while irrigation amount had positive effects on these five factors. Further, we adopted a comprehensive evaluation that identified the top three optimal treatments as T1W2S2, T1W1S1, and T2W2S1, however, the worst three treatments as T4W1S4, T3W2S4, and T4W2S3, respectively. These findings provide theoretical reference for stabilizing and increasing cotton yields in arid regions of Northwest China.

     

/

返回文章
返回