scholarly journals Variations of Soil Salinity and Cotton Growth under Six-Years Mulched Drip Irrigation

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1127
Author(s):  
Wenhao Li ◽  
Zhenhua Wang ◽  
Jinzhu Zhang ◽  
Ningning Liu
Keyword(s):  
Soil Salinity ◽  
Drip Irrigation ◽  
Saline Soil ◽  
Irrigation Schedule ◽  
Salt Content ◽  
Soil Layer ◽  
Cotton Field ◽  
Soil Conditions ◽  
Quota Management ◽  
Mulched Drip Irrigation

The lowering of salt content in the field, especially in arid areas, after consecutive application of mulched drip irrigation (MDI) is of vital importance for sustainable cotton plantation. To elucidate the effects of long-term MDI on soil properties and cotton growth, this paper systematically monitored the soil salinity, ion concentrations and the yield of cotton in the field using MDI consecutively for six years in a typical oasis in Xinjiang, China. The results showed that MDI could significantly change salt distribution in the cotton field. During the six years tested, the soil salt content using MDI declined fast at first, and then the decline rate gradually decreased. In the 1st and 2nd year, the average salt content within 0–100 cm soil layer was larger than 20 g kg−1, which belonging to the saline soil. Then the salt content decreased to 10–20 g kg−1 in the 3rd and 4th year, and the cotton field declined to heavily saline soil. After 5 years of MDI, the soil turned to non-salinized. The Cl− and SO42− equivalence ratio (CSER) also decreased with the increase of application years of MDI. Saline-alkaline land developed from chloride-sulphate solonchak (0.2 < CSER < 1) into sulphate solonchak (CSER < 0.2) after 6 years of MDI. The survival rate of the cotton increased from 1.48% (1 year of MDI) to 76.3% (6 years of MDI), and the yield increased from 72.43 kg ha−1 to 4515.48 kg ha−1. When the average CSER, SAR and the soil salinity in 0–140 cm soil layer decreased to 0.60, 0.98 (mol kg−1)0.5 and 6.25 g kg−1, farmers can achieve a balance between income and expenditure. Moreover, when CSER, SAR, and the soil salinity continuously decreased to 0.44, 0.69 (mol kg−1)0.5 and 0.77 g kg−1, the cotton yield will exceed the average production level of cotton in Xinjiang. Under the current irrigation schedule in the oasis irrigation area, the soil salinity and groundwater level after applying MDI could be conducive to cotton growth. However, this situation had also caused a waste of nearly 200 mm of water resources. Therefore, authors suggested that further research on water-saving irrigation systems suitable for different soil conditions should be carried out, and also the differential quota management in production practice should be adopted.

scholarly journals Dynamics and Distribution of Soil Salinity under Long-Term Mulched Drip Irrigation in an Arid Area of Northwestern China

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1225 ◽  
Author(s):  
Zilong Guan ◽  
Zhifeng Jia ◽  
Zhiqiang Zhao ◽  
Qiying You
Keyword(s):  
Soil Water ◽  
Soil Salinity ◽  
Drip Irrigation ◽  
Soil Layer ◽  
Growth Period ◽  
Water Infiltration ◽  
Growth And Yield ◽  
Upward Migration ◽  
Mulched Drip Irrigation

Mulched drip irrigation has been widely used in agricultural planting in arid and semi-arid regions. The dynamics and distribution of soil salinity under mulched drip irrigation greatly affect crop growth and yield. However, there are still different views on the distribution and dynamics of soil salinity under long-term mulched drip irrigation due to complex factors (climate, groundwater, irrigation, and soil). Therefore, the soil salinity of newly reclaimed salt wasteland was monitored for 9 years (2008–2016), and the effects of soil water on soil salinity distribution under mulched drip irrigation have also been explored. The results indicated that the soil salinity decreased sharply in 3–4 years of implementation of mulched drip irrigation, and then began to fluctuate to different degrees and showed slight re-accumulation. During the growth period, soil salinity was relatively high at pre-sowing, and after a period of decline soil salinity tends to increase in the late harvest period. The vertical distribution of soil texture had a significant effect on the distribution of soil salinity. Salt accumulated near the soil layer transiting from coarse soil to fine soil. After a single irrigation, the soil water content in the 30–70 cm layer under the cotton plant undergoes a ‘high–low–high’ change pattern, and the soil salt firstly moved to the deep layer (below 70 cm), and then showed upward migration tendency with the weakening of irrigation water infiltration. The results may contribute to the scientific extension of mulched drip irrigation and the farmland management under long-term mulched drip irrigation.

scholarly journals A study on interannual change features of soil salinity of cotton field with drip irrigation under mulch in Southern Xinjiang

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244404
Author(s):  
Yu Zhang ◽  
Yongjun Zhu ◽  
Baolin Yao
Keyword(s):  
Soil Moisture ◽  
Soil Salinity ◽  
Drip Irrigation ◽  
Rapid Development ◽  
Salt Content ◽  
Cotton Field ◽  
Salt Leaching ◽  
Growing Period ◽  
Time Migration ◽  
Southern Xinjiang

The drip irrigation under mulch has become one of significant supporting technologies for cotton industry development in Xinjiang, and has shown the good economic and ecological benefits. With the rapid development of society and economy in Southern Xinjiang, the conventional mode of large-quota winter and spring irrigation, salt leaching and alkali decreasing is difficult to support sustainable development of land and water resources in Southern Xinjiang. This study tries to adjust soil moisture and salt content regulation mode of massive water salt leaching and drip irrigation under mulch in the non-growing period of cotton field in Southern Xinjiang, explores interannual soil salinity change features of drip irrigation cotton field without winter and spring irrigation, and provides experimental basis for drip irrigation technology under mulch which can reduce and exempt cotton irrigation in winter and spring. According to ET0, the dual-factor complete combination experiment involving 3 irrigating water quotas (I1, I2, I3) and 2 irrigation times (T12, T16) was designed, and 6 treatments were involved in total(I1T12,I2T12,I3T12,I1T16,I2T16 and I3T16). The investigation results of four-year (2012–2015) field positioning experiment showed that, under the condition of “germination under drip irrigation” without winter and spring irrigation, increasing irrigation quota and irrigation times could lower 0-100cm soil salinity accumulation, but the soil salinity accumulation degree was 40-100cm, and less than 0-30cm. In the seedling stage, bud stage, blossom and boll-forming stage, and boll opening stage, the average salinity of 0-100cm soil increased by 39.81%, 31.91%, 26.85% and 29.47%, respectively. Increasing irrigation quota and irrigation times could ease interannual soil salinity accumulation degree of cotton field with drip irrigation under mulch, without winter and spring irrigation. 0-100cm soil salinity before sowing was related to the irrigation quota of cotton in the growing stage of the last year. The larger the irrigation quota was, the smaller the soil salinity before sowing would be. The accumulation amount of soil salinity at the end of growing stage under different treatments was lower than that before sowing. The drip irrigation of cotton under mulch in the growing stage could effectively regulate soil salinity distribution and space-time migration process in the growing stage of cotton. Compared with the beginning of 2012, 0-100cm average soil salinity under 3 irrigation quotas (I1, I2, I3) was 33.66%, 5.60% and 1.24%, respectively. Salt accumulating rates under 12 irrigations and 16 irrigations were 20.66% and 6.33%, respectively. The soil had the risk of salinization when the “germination under drip irrigation” without winter and spring irrigation was used. Such results can provide the reference for prevention and treatment of soil moisture and salt content of cotton field with drip irrigation under mulch in the arid region.

scholarly journals Surface Salinization of Soil under Mulched Drip Irrigation

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3031
Author(s):  
Hongguang Liu ◽  
Mingsi Li ◽  
Xurong Zheng ◽  
Yaqin Wang ◽  
Sumera Anwar
Keyword(s):  
Drip Irrigation ◽  
Surface Soil ◽  
Salt Content ◽  
Soil Layer ◽  
Bare Soil ◽  
Plastic Film ◽  
Deep Soil ◽  
Saline Irrigation ◽  
Secondary Salinization ◽  
Mulched Drip Irrigation

The mulched drip-irrigation technique has been widely employed in Xinjiang, China, however, it was found to result in the buildup of salt in the surface soil. To ascertain the effect of mulched drip irrigation on salinization, experiments were carried out during 2009–2010 in two fields of mulched soil drip irrigated for three and 13 years. The solute transportation in soil was simulated with the MATLAB system based on the Richards equations. Results showed that the soil mulched by plastic film did not accumulate salt, but the bare soil surface accumulated salt and the salinity distribution in bare soil was in the ‘Γ’ pattern. The soil layer below a depth of 20 cm in the bare area showed desalination because its salt content was 22% less than the surface. The salinity of bare surface soil including cultivated horizon was reduced by 17% after 13 years of drip irrigation. The simulation results indicated that the solutes of mulched soil were transported vertically to deep soil and transversely to the bare soil with drip irrigation. Thus, the salt accumulated on the surface of bare soil came from the soil mulched by plastic film, not from groundwater or saline irrigation water and did not cause secondary salinization.

scholarly journals Investigation of Growth, Free Amino Acids, and Carbohydrate Concentration in the Roots of Perennial Ryegrass in Response to Soil Salinity at Subsurface Soil Depths

2016 ◽  
Vol 141 (6) ◽  
pp. 539-547 ◽  
Author(s):  
Zhuangjun Zhao ◽  
Margaret Mukami Gitau ◽  
Tao Hu ◽  
Yan Xie ◽  
Longxing Hu ◽  
...  
Keyword(s):  
Amino Acids ◽  
Perennial Ryegrass ◽  
Soil Salinity ◽  
Free Amino Acids ◽  
Free Amino ◽  
Saline Soil ◽  
Deep Layer ◽  
Soluble Sugars ◽  
Soil Layer ◽  
Subsurface Soil

Plants growing in salt-affected soils may have retarded growth and inhibited or altered metabolic processes. This study aims at investigating the impact of subsurface soil salinity on root growth and metabolic processes in perennial ryegrass (Lolium perenne). The seeds of perennial ryegrass (cv. Quick Start II) were planted in polyvinyl chloride (PVC) tubes (10 cm diameter × 42 cm long) for 2 months. The experiment consisted of three treatments: 1) control, 40 cm filled with sand–peat mixture (7 sand : 3 peat wt/wt); 2) T20, a 20-cm-deep layer of saline soil covered with a 20-cm-deep layer of sand–peat mixture; and 3) T30, a 30-cm-deep layer of saline soil covered with a 10-cm-deep layer of sand–peat mixture. Our study showed that soil salinity at the subsurface inhibited the growth of perennial ryegrass roots. Compared with the control, the root activity in saline soil layer decreased, whereas it remained high in the mixture-soil zone. The content of amino acids in the roots obtained from the surface soil (0–10 cm) in T30 was greater than that in both the T20 and the control regimes. The content of soluble sugars in the roots went up with the decrease of the depth of sand–peat mixture. The increased root activity and free amino acids content in the roots sampled from the upper soil layers coupled with the increased soluble sugars in the roots subjected to soil salinity stress in the bottom soil layer represents some adaptive responses and regulative mechanisms in perennial ryegrass.

scholarly journals Simulation of Water and Salt Transport in Soil under Pipe Drainage and Drip Irrigation Conditions in Xinjiang

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2456 ◽  
Author(s):  
Kaiming Li ◽  
Hongguang Liu ◽  
Xinlin He ◽  
Xinxin Li
Keyword(s):  
Drip Irrigation ◽  
Salt Content ◽  
Soil Layer ◽  
Growth Period ◽  
Soil Salinization ◽  
Salt Transport ◽  
Model Parameters ◽  
Alkali Soil ◽  
Total Salt Content ◽  
Mulching Films

With the popularization and development of drip irrigation under film, the problem of secondary soil salinization in Xinjiang is becoming more and more serious. To explore water and salt transport in drip irrigation under mulch and drainpipe drainage, drainage tests of drainage ditches in saline-alkali soil in the Xinjiang 112 group were used to monitor soil salinity changes by controlling field irrigation. Then, a HYDRUS (PC-Progress, Prague, Czech Republic) numerical model was used to simulate and analyze the changes in salinity during cotton growth and the autumn salt return stage in saline-alkali soil under drainage conditions. The agreement between the simulated and measured values was high, and the model parameters were reliable. During the growth period of cotton, the salinity continued to decrease, and the salt began to return after the harvest. Compared with before planting, in the 0–80 cm soil layer, the average desalinization rate reached 43.52% under the mulching films, and the average desalinization rate reached 13.83% under and between the mulching films. After the cotton was harvested, salt returned to the upper layer of soil. However, it still showed a decrease compared with the level before sowing. The average salt content of 0–80 cm soil decreased by 5.14%, and the average salt content of 0–200 cm decreased by 2.60%. This shows that the total salt content in soil will continue to decrease after long-term use of drip irrigation and underground pipe drainage.

Hyperspectral Estimation Models for the Saline Soil Salinity in the Yellow River Delta

2015 ◽  
Vol 738-739 ◽  
pp. 197-203 ◽  
Author(s):  
Hong Yan Chen ◽  
Geng Xing Zhao ◽  
Ya Qiu Liu ◽  
Jing Chun Chen ◽  
Hong Zhang
Keyword(s):  
Soil Salinity ◽  
Yellow River ◽  
Saline Soil ◽  
Salt Content ◽  
Back Propagation ◽  
Yellow River Delta ◽  
Back Propagation Neural Network ◽  
Support Vector ◽  
Soil Salt Content ◽  
Input Variables

Quantitative identification of the saline soil salinity content is a necessary precondition for the reasonable improvement and utilization of saline land, the article aimed at comparing the different quantitative analysis methods and achieving fast estimation of the saline soil salt content in the Yellow River Delta based on the visible-near infrared spectroscopy. Kenli County in Shandong Province was selected as the experimental area, firstly, the representative soil samples were selected, hyperspectral reflectance of the soil samples were measured in situ and transformed to the first deviation. Secondly the correlate spectra, the characteristic spectra and indices were firstly filtered using correlation analysis. Finally, the estimation models of soil salinity content were built using the multiple linear regression (MLR), back propagation neural network (BPNN) and support vector machine (SVM) respectively. The results indicated that the characteristic wave bands of soil salinity were 684 nm and 2058 nm. On the condition of the same input variables, the prediction precision of the SVM models was the highest, followed by the BPNN, the MLR was the lowest. The SVM model based on the first deviation of the reflectance at 684 and 2058nm had the highest precision, with the calibration R2 of 0.91 and RMSE as 0.11%, the validation R2 of 0.93, RMSE as 0.26% and RPD as 2.61, which had very good prediction accuracy of soil salt content, and was very stable and reliable. Different input variables had a great impact on the model accuracy, among of the MLR models, only the precision of the model based on characteristic spectral indices was slightly higher and could be used to estimate salt content, among of the BPNN and SVM models, the precision of the models based on characteristic spectra and indices was more high and stable significantly than the models on the correlate spectra. Therefore, for the three modeling methods of multiple linear regression, back propagation neural network and support vector machine, building the estimation model of saline soil salinity content based on characteristic spectra indices was effective.

scholarly journals Bio-Compost Influences Salinity and Plant Development by Experimenting with Greenhouse Pots

2019 ◽  
Vol 8 (2) ◽  
pp. 4847-4850
Keyword(s):  
Soil Salinity ◽  
Saline Soil ◽  
Salt Content ◽  
Soil Samples ◽  
Plant Cultivation ◽  
Crop Development ◽  
Salinity Reduction ◽  
Standard Value ◽  
Synthetic Fertilizers

This paper deals with this research “Role of compost in reduction of saline soil of Agra” [1] and “Soil salinity reduction by bio-compost” [2]. The salinity of the soil is the occurrence which raises the salt content from standard value. The method of increasing the salt content is called Salinization. In soils and water, salts usually occur. It can be these bilish Salinization. Characteristic methods, e.g., durability of minerals or progressive sea removal. It may also come into being with an artificial drainage and excessive use in agriculture of synthetic fertilizers. Salt content is a significant crisis in both plant and crop development. The aim of this research is to study salinity problems on plant cultivation and how soil management methods can prevent salinization problems. Bio-compost has been used to decrease the salinity of the land. With the use of bio-compost, Agra's estibilised soil hydrology model was decreased. Soilcompost combination of saline soil SA-1 and soil samples SA-2 electrical conductivity (EC).To assess the influence of biocompost on salinity on plant cultivation, greenhouse pot experiments were carry out on least salinity presence on both the soil by varying pH as 5.5, 6, 7 and 8. The plant chosen for this investigation was wheat ( Triticum Aestivum). The plant growth of wheat were obsevered significant at pH-6 and 7 in both SA-1 and SA-2 soil samples. The results of the study recommend biocompost have great potential to reduce soil salinity and could be highly potent alternative to chemical fertilizer and increase the growth of plant.

Sign in / Sign up

Export Citation Format

Share Document