Tomato Irrigation Research Articles

Analysis of research situation of domestic tomato irrigation and fertilization based on artificial intelligence technology

To fully grasp the development trend of research on tomato irrigation and fertilization in my country. This article uses CNKI journal database as the data source, using knowledge graph method, with the help of Excel, VOS viewer and other tools. A comprehensive analysis of the core scientific and technological journal papers of my country’s tomato irrigation and fertilization research is carried out from the aspects of publication volume, institutions, authors, journals, frequency of citations, disciplines, topics, and fund distribution.

Retraction: Analysis of research situation of domestic tomato irrigation and fertilization based on artificial intelligence technology (J. Phys.: Conf. Ser. 1852 032048)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022

Development of a transpiration model for precise tomato (Solanum lycopersicum L.) irrigation control under various environmental conditions in greenhouse

Transpiration can directly reflect the response of the crop growth and development, therefore irrigation design based on a transpiration model is an important factor towards establishing an efficient irrigation strategy. Thus, the purpose of this experiment is to develop and verify a tomato transpiration model by correcting the relationship between the transpiration rate and environmental factors by measuring the actual transpiration rate. The actual crop transpiration rate, which is measured using a load cell, and the weight changes calculated at 10-min intervals, are applied to the development of the transpiration model. The experimental results show that the transpiration rate has no linear relationship with the radiation amount (Rad) or vapor pressure deficit (VPD). The relationship between Rad and VPD with transpiration rate was fitted by the exponential rise to maximum, and gaussian peak curve, respectively. This allowed a transpiration model to be developed by compensating the Rad and VPD based on the existing Penman–Monteith (P-M) equation. The developed transpiration model showed higher regression constant values than the existing one. The developed transpiration model from the experiment can be utilized for precise irrigation control.

Biosorptionally treated dye wastewater employed in “Olla-pot coupled microbial fuel cell” for tomato (Solanum lycopersicum L.) irrigation and bio-electricity production

This study presents a novel amalgamation of biosorption, Olla-Pot (OP) irrigation, and microbial fuel cells for the development of sustainable technology to remediate dye wastewater and reuse for crop irrigation and bioelectricity production. Biosorption of acid blue 193 dye on spent tea waste was carried out, and biosorptionally treated wastewater (TW) was employed in “Olla-Pots” for tomato irrigation. Additionally, Olla-pots has been infused with MFCs to take advantage of the organic load of TW to generate electricity. In biosorption studies, the Langmuir isotherm model was found to be the best fit (R2=0.9973) with maximum dye uptake capacity of 35.972 mg/g at 298 K. The Olla-pot MFC achieved 66.38 ± 1.58% of COD removal efficiency and 2.23 mW/m2 of power density with TW. This approach of using biosorptionally treated wastewater in an ancient and simple irrigation technique can become a suitable option for the interlinking of efficient wastewater treatment and water conservation strategy.

Water supply intensity during drip irrigation of vegetable crops

The paper presents the materials of field research on the study of the regularities of the development of moisture outlines on light soils during drip irrigation of vegetable crops. The correlation is found between the depth of the moistened layer and the area of the moistening outlines on the pre-irrigation threshold of the moisture content of the active soil layer, irrigation standards and the flow rate of drippers, which gives an opportunity to decline the unproductive water consumption for filtration. It is found that in light loamy and sandy loam light chestnut soils, for guaranteed rule of the moisture regime, on onion crops, it is essential to maintain the pre-irrigation threshold of 80% HB with the irrigation rate of 200 m3 / ha with the flow rate of drip water outlets of 2.8 l / h, and the depth of irrigation of 120 m3/ha with the flow rate of discharge outlets of 1.7 l/h, correspondingly. In irrigation of tomatoes grown on light-loamy light-chestnut soils, it is appropriate to apply the irrigation rate of 180 m3 / ha, which provides the level of pre-irrigation humidity in the layer of 0.6 m not lower than 80% HB, the formation of the required characteristics of the moisture contour (depth of 0.62 m and diameter of 0.37 m), as well as an enhance in the efficiency of irrigation water use by 11.1%. The results can be applied in the design of drip irrigation systems for vegetable crops.

Development of smart irrigation systems based on real-time soil moisture data in a greenhouse: Proof of concept

A reasonable estimation of crop water uptake depth (WUD) provides vital prerequisites for determining scientific irrigation scheduling. However, real-time acquisition of crop WUD to guide irrigation has not been reported. In the current study, a smart irrigation system based on real-time soil moisture data was developed, in which the dynamic crop WUD was estimated using the spatiotemporal characteristics of soil moisture distributions. Subsequently, the data of crop WUD were acquired using a central irrigation controller to achieve a precise irrigation depth at each irrigation event. A drip irrigation experiment for tomato (Lycopersicum esculentum) planting was conducted in a greenhouse in northern China. Wireless soil moisture sensors were installed to collect real-time soil moisture data from a 0–100 cm soil profile. Soil moisture exhibited a ladder trend for 0–60 cm and a stable trend for 60–100 cm. A regression equation (WUDi = −0.0119d2 + 1.9387d - 6.5795, R2 = 0.89) quantifying the dynamic depth of crop water uptake was successfully obtained based on the characteristics of soil moisture distribution, and a water-saving scheme (i.e., irrigation to real-time crop WUD) was determined to guide every irrigation event via a remote automatic irrigation system. Tomato evapotranspiration (ET) calculated using soil moisture data was consistent with that calculated using indoor meteorological data, confirming the reliability of real-time soil moisture data for estimating the tomato WUD. The tomato irrigation water use efficiency (IWUE) of the established system reached 41.23 kg/m3, which was an evident improvement compared with that obtained using a traditional irrigation scheme (31.58 kg/m3). In addition, the IWUE of tomato in the established system was almost approached that of the previously published results. The findings of this study highlight the importance of reasonable water-saving irrigation scheduling and provide insights into the development of an efficient and automatic irrigation system.

Impact of Foliar Application with Iron, Zinc, Silicon Nano Particles and Yeast on Growth, Yield and Water Use Efficiency of Tomato Plants under Water Stress Conditions تأثیر الرش الورقی بجزیئات نانو الحدید والزنک والسیلیکون والخمیرة على النمو والمحصول وکفاءة الاستهلاک المائى لنباتات الطماطم تحت ظروف الإجهاد المائى

Two filed experiments were conducted during the two summer seasons of 2015 and 2016 in a private Farm at Gemiana village near Belqas City Dakahlia Governorate, Egypt, to study the effect of interaction between deficit irrigation water (60%, 80%, 100% of ETc) and some foliar spray treatments (nano iron, nano zinc, nano silicon and yeast extract) on plant growth parameters, chemical composition of leaves as photosynthetic pigments (Chl. a, Chl. b, total Chl. a+b), leaf mineral percentages (N, P, K) proline, yield and water use efficiency (WUE) of tomato plants (Fayruz hybrid) under drip irrigation system. A strip-plot design with three replicates was used. The vertical plots were allocated to the deficit irrigation, whereas the horizontal-plots were devoted to foliar spray treatments. Results revealed that the interaction among irrigation tomato plants at the level of 80 % Etc and spraying with different nano particles at different concentration or yeast extract significantly increased all aforementioned parameters, meanwhile deficit irrigation water treatments improved leaves proline content and WUE in both growing seasons. The best interaction treatment for increasing plant growth parameters, chemical constitutes of leaves as photosynthetic pigments (Chl. a, Chl. b, total Chl. a+b) leaf mineral percentages (N, P, K) early and total yield is irrigation treatment with 80 % Etc and spraying with nano Si at 12 ppm and can be recommended to increase growth and productivity tomato plants of under similar conditions of this study.

Evapotranspiration and crop coefficient of tomato grown in a solar greenhouse under full and deficit irrigation

Information of crop evapotranspiration (ETc) and crop coefficient (Kc) is essential for improving water use and optimizing irrigation scheduling. Here, a three-year (2015, 2016 and 2019) experiment was conducted for tomato grown in a solar greenhouse under full and deficit drip irrigation to investigate the variation of ETc measured by sap flow system plus micro-lysimeter in 2015 and by weighing lysimeter in 2016 and 2019. The controlling meteorological factors on ETc in two irrigation treatments were analyzed by using path analysis method. A single crop coefficient model considering leaf senescence, soil water stress and fraction of canopy cover was proposed under two irrigation levels. The results showed that total seasonal ETc over the whole growth stage under full irrigation was 310−350 mm, which was 16–23 % higher than that under deficit irrigation. The maximum hourly ETc rate in each month during the three-years experiment varied from 0.15 to 0.89, and from 0.15 to 1.88 mm h−1, respectively, under deficit and full irrigation. Path analysis showed that the net radiation was the dominant meteorological factor aff ;ecting ETc through the direct eff ;ect, followed by the vapor pressure deficit, mainly through an indirect action on ETc. The Kc values at different growth stages estimated by the proposed single crop coefficient model under full and deficit irrigation agreed well with the measured ones, and the water stress coefficient, Ks, under deficit irrigation varied from 0.5 to 1.0. The proposed single crop coefficient model also estimate daily ETc of drip irrigated tomato reasonably in the solar greenhouse with regression coefficient of 0.93−0.99, determination of coefficient of 0.78−0.95 and root mean square root of 0.35−0.52 mm d−1.

Prediction of plant transpiration from environmental parameters and relative leaf area index using the random forest regression algorithm

The accurate prediction of plant transpiration is essential for automatic precision irrigation in greenhouses; thus, an accurate transpiration prediction model is needed. The main objective of this study was to establish a plant transpiration prediction model by integrating plant and environmental parameters based on random forest regression (RFR). The relative leaf area index (RLAI) was selected as the plant parameter, which could be obtained in real time by image processing. The environmental parameters included air temperature, relative humidity and illumination intensity, which were obtained in real time by sensors. More than 500 samples were collected in each of the seedling and florescence phases, of which 70% were used for training, and 30% were used for testing the RFR model. The performance of the RFR model was then compared with that of a BP neural network and a GA-BP neural network. The results showed that the RFR model significantly outperformed the other models, achieving the highest prediction accuracy (R2 = 0.9472 and 0.9654) and smallest error (RMSE = 19.75 g and 18.85 g) among the test sets. In addition, the results confirmed the importance of all the parameters used to predict plant transpiration. Among the parameters, illumination intensity had the greatest influence on the mean square of the prediction error rate, and RLAI had the smallest influence. However, RLAI was very important for improving the prediction accuracy of the RFR model and achieving model significance. This research provides a scientific reference for the efficient production and intelligent irrigation of greenhouse tomatoes, providing a way to conserve water and energy.

Yield, Nitrogen Uptake and Nitrogen Leaching of Sensor-Based Fertigation-Cultured Tomato in a Shallow Groundwater Region: Effect of Shallow Groundwater on Tomato Irrigation

Fertigation with surface drip has been introduced and broadly applied for vegetable cultivation in the Eastern China, which presents high precipitation and always has shallow groundwater. To estimate the influence of high groundwater level on the tomato nitrogen (N) and water use efficiency and develop new sensor-based fertigation technology, experiments were executed in plastic greenhouse in the experimental farm of Yangzhou University located in the suburban of Yangzhou city during 2016-2017 growing seasons using a block randomization with three replications. Three N dosages and 4 watering treatments were carried out in this experiment. The data indicated that irrigation threshold of -35 kPa was optimum to get the maximum production of tomato. In this treatment, the value of estimated plant evapotranspiration (ETc) was much higher than total applied water volume, suggesting high groundwater table had a significant contribution on the tomato ETc and a sensor-based irrigation strategy should be more accurate than the simulated ETc irrigation method to calculate the water demand under this condition. In addition, our results indicated that high groundwater level had a positive effect to alleviating N leaching. Finally, we can conclude that fertigation technology enhanced the N use efficiency (NUE) and water use efficiency (WUE) and three fourths of the calculated N dosage (according to a traditional nutrient equation) was sufficient to optimize tomato yield.

English

Poor soil fertility and low level of fertilizer application results in low productivity of irrigated tomatoes (Lycopersicon esculentum Mill.) in Arba Minch Zuria District, Southern Ethiopia. Therefore, this experiment was conducted to evaluate the role of integrated application of dry bioslurry and chemical fertilizers on growth performance and fruit yield of tomato, and on soil properties. A factorial combination of six levels of fertilizers and two tomato varieties (Gelilea and Roma VF) were laid out in randomized complete block design with three replications. The six fertilizer treatments included were: (1) control, (2) nitrogen and phosphorus fertilizer (NP), (3) blended fertilizer (NPSZnB), (4) NP + bioslurry, and (5) blended fertilizer +bioslurry and (6) bioslurry without any fertilizer. Gelila variety was superior to Roma VF in marketable and total fruit yields. All growth parameters of tomato such as (plant height, branches, etc) were significantly (P<0.05) enhanced by fertilizer application. Fertilizer and variety interaction significantly (P<0.05) influenced number of primary and secondary branches, fruit clusters per plant, and average fruit weight. The results showed that dry bioslurry and chemical fertilizers application significantly (P<0.05) increased total and marketable fruit yields. The highest total and marketable fruit yields occurred when NP and blended fertilizer were applied in integrated forms with dry bioslurry to soils. The integrated bioslurry application with NP and blended fertilizer also increased total N, organic carbon and pH of the study soil after harvest. Therefore, regular application of dry bioslurry and chemical fertilizer recommended for improved and sustainable irrigated tomato production and soil fertility improvement in Arba Minch Zura District, southern Ethiopia. Key words: Bioslurry, chemical fertilizer, tomato fruit yield, integrated soil fertility management. &nbsp

Changes in physical and hydraulic properties of a clay soil due to the irrigation of tomatoes with recycled wastewater

In this study physical (bulk density, particle density, porosity, wet aggregate stability) and hydraulic properties (field capacity, wilting point, available water content, infiltration) of the soil did not change significantly under different irrigation practices. However, the porosity, available water content, and infiltration improved partly under partial root-zone drying practice with 50% water shortage. Wet aggregate stability in surface soil increased significantly with wastewater treatment. Wastewater reduced the stable infiltration rate significantly as well. Although the physical and hydraulic properties improved when compared with the pre-planting values, the wastewater treatment could not provide sustainable important effects in a short-time period.

Response of Greenhouse Crop Ecophysiology, Water Consumption and Yield to Ventilation Environment Regulation

Under the condition of greenhouse cultivation, the influence of environmental regulation on crop physiological and ecological indexes, water consumption process and yield cannot be neglected. Studying the changes of each index under different opening time and state of ventilation can further improve the theory of greenhouse environmental regulation and control and realize the rational utilization of water resources. Three ventilation modes were set up for drip irrigation tomato in sunlight greenhouse in North China. They were opening North window and top window (T1), opening North window, south window and top window (T2) and opening North window and south window (T3). The effects of different ventilation modes on greenhouse environment, physiological ecology, water consumption and yield of tomato were analyzed. The results showed that: (1) The fluctuation of water surface evaporation under different ventilation modes was consistent during the whole growth period, but the cumulative evaporation was T2 > T1 > T3. The ventilation mode of T2 treatment was beneficial to alleviate indoor high temperature hazards, which was 3–4% and 3–5% lower than the average temperature of T1 and T3, but the higher temperature of T1 treatment was beneficial to the early fruit formation. (3) T2 had the highest yield, 147.15 t/hm2, 11.71% higher than T1 and 13.52% higher than T3, and the water consumption was the least, 143.73 m3/hm2, which was higher than T1 and T3, respectively. Water use efficiency (WUE) and irrigation water use efficiency (IWUE) were 1023.81 (kg/m3) and 1719.26 (kg/m3), respectively. So the ventilation treatment in the early stage is to open the North window and the roof window, and the ventilation treatment in the middle and late stage is to open the North window, the south window and the roof window simultaneously. The purpose of this paper is to perfect the theory of greenhouse environmental regulation and control, and to provide reference for further rational layout of greenhouse vents.

Integrated Effect of Mulching and Furrow Methods on Tomato (Lycopersiumesculentum L) Yield and Water Productivity at West Wellega, Ethiopia

Mulching applications can effectively modify the plant hydrothermal micro-environment.However, the impacts of mulching on potato yield vary with climatic conditions and field managements. Mulching with different furrow irrigation methods is one of the techniques to improve soil and water productivity. A field trial was conducted to study the effect of plastic mulch and different irrigation levels on water productivity and yield attributes of tomato (Lycopersiumesculentum L)based on the objective to select most effective water management techniques and mulching types. A split plot design consists of three furrow irrigation methods (namely conventional, alternate and fixed furrow with 100% ETc) as main plot and three mulch treatments (namely, without mulch, straw mulch and plastic mulch) as sub-plot used with three replications. The irrigation method and mulching types highly significantly (p<0.01) affected the studied parameters of tomato at Haru. Maximum tomato yield was recorded from conventional furrow irrigation method which is superior than alternate and fixed furrow irrigation method. However, higher water use efficiency was obtained due to alternate furrow irrigation method. Maximum marketable yield and water use efficiency were obtained due to plastic mulch than no mulch and straw mulch for tomato at Haru. However, there was no interaction effect due to the two factors studied (irrigation type and mulching type) except water productivity. Therefore, for maximizing marketable yield and better water productivity under no water stress condition; irrigation of tomato with conventional furrow irrigation methods coupled with plastic mulch could be used. But for moisture stress scenario it is preferable to use alternate furrow with plastic mulch to achieve highest water productivity with minimum yield loss. Keywords : plastic mulch, Alternate furrow, Conventional furrow, water productivity DOI : 10.7176/JNSR/9-20-01 Publication date :October 31 st 2019

A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to Water

Different from the traditional irrigation optimization model based only on the water production function, in this study, we explored the water–yield–quality–benefit relationship and established a general irrigation scheduling optimization framework. To establish the framework, (1) an artificial neural network coupled with ensemble empirical mode decomposition (EEMD-ANN) is used to decompose the original price time series into several subseries and then forecast each of them; (2) factor analysis and a technique for order of preference by similarity to ideal solution (FA-TOPSIS), as an integrated evaluation method, is used to comprehensively evaluate the fruit quality parameters; and (3) regression analysis is used to simulate water-yield and water-fruit quality relationships. The model is applied to a case study of greenhouse tomato irrigation schedule optimization. The results indicate that EEMD-ANN can improve the accuracy of price forecasting. Jensen and additive models are selected to simulate the relationships of tomato yield and quality with water deficit at various stages. Besides, the model can balance the contradiction between higher yields and better quality, and optimal irrigation scheduling is obtained under different market conditions. Comparison between the developed model and a traditional modeling approach indicates that the former can improve net benefits, fruit quality, and water use efficiency. This model considers the economic mechanism of market price changing with fruit quality. Forecasting and optimization results can provide reliable and useful advices for local farmers on planting and irrigation.

A Smart Irrigation Tool to Determine the Effects of ENSO on Water Requirements for Tomato Production in Mozambique

Irrigation scheduling is used by growers to determine the right amount and timing of water application. In most parts of Mozambique, 90% of the total yearly precipitation occurs from November to March. The El Niño Southern Oscillation (ENSO) phenomenon influences the climate in Mozambique and affects the water demand for crop production. The objectives of this work were to quantify the effects of ENSO phenomenon on tomato crop water requirements, and to create the AgroClimate irrigation tool (http://mz.agroclimate.org/) to assist farmers in improving irrigation management. This study was based on daily grid-based climate information from 1983 to 2016 from the Climate Forecast System Reanalysis. Daily crop evapotranspiration was calculated by Hargreaves equation and crop coefficients. This tool is available online and considers different planting dates, ENSO phases, and crop growing season lengths. Irrigation needs varied from less than 250 mm per growing cycle during winter to 550 mm during spring. Both El Niño and La Niña influenced the irrigation scheduling, especially from November to March. El Niño periods were related to increased water demand due to drier and warmer conditions, while the opposite was observed for La Niña. The ENSO information might be used to understand climate variability and improve tomato irrigation scheduling in Mozambique.

Variable Rate Precision Irrigation Technology for Deficit Irrigation of Processing Tomato

AbstractCentre pivot machines, with a variable rate irrigation (VRI) package that provides individual sprinkler control systems (VRI iS), are not common. This research focuses on how uniform the water distribution is under VRI control, and on the size of over‐ and under‐irrigated areas and volumes. Moreover, we wanted to know how wide transition zones are. We conducted different uniformity measurements using common rain gauges for measuring water application depths. Besides grid shape and radial direction measurements for uniformity, perpendicular measuring lines to borders were set to evaluate transition zones. In a processing tomato deficit irrigation experiment, we investigated how different plant properties react to different water depths. Results showed that very good uniformity is achievable both in the IR100 and IR50 application rates, but the former showed higher uniformity. CUC ranged from 91.8 to 92.9% and 88.8 to 90.8% in the IR100 and IR50 rates respectively. The highest RMSE was 2.65 mm. The amount of over‐ and under‐irrigation was not significant. Transition zones were not equally wide; 9 m was enough for transition widthways between the IR100 and IR50 rates, but was wider longitudinally. This technology is suitable for conducting deficit irrigation experiments, but consideration of transition zones is important at plant sampling. © 2018 John Wiley & Sons, Ltd.

Optimization of storage temperatures to maintain Lycopene content of tomato from moderate water stress irrigated greenhouse

This research objective is to analyze the storage temperatures that optimize lycopene of tomato (Lycopersiconesculentum, cv.Taiankitijitsu) from moderate water stress irrigation and to compare it with normal irrigated tomato in hydroponic greenhouse system. Harvested tomatoes were stored in various temperatures (10, 15, 25 and 30 °C) until mature stage and lycopene content was observed with destructive method using spectrophotometer. Optimum temperature was analyzed by Minitab 15 Statistical Software using surface response methodology. After 16 days of storage, lycopene of water stress tomato attained 8,152 mg/100 g (10 °C), 11,636 mg/100 g (15 °C), 11,747 mg/100 g (25 °C), and 11,947 mg/100 g (30 °C) respectively. Storaging tomato at 10 °C remained the lycopene of water stress tomato in stable trend. Temperatures above 15°C increased lycopene of both water stress and normal irrigated tomato. Lycopene of normal irrigated tomato increased only for first 8 days with temperature 15 °C (slightly increase), 25 °C, and 30 °C (highest lycopene value). After 8 days of storage, the trends tend to drop. Analysis of multivariate multiple regressions showed low R2 value of lycopene during storage. Optimization using Minitab 15 Statistical Software showed temperature of 24.52°C with 11 days storage and might reached 10.71 mg/100g.

Assessing Quality of Reclaimed Urban Wastewater from Algarrobo Municipality to Be Used for Irrigation

In the European Mediterranean area, the lack of available water resources had led to consider the reclaimed urban waters as an integral part of water resources. Reclaimed urban waters could mitigate water shortage, support agriculture sector and protect rivers and groundwater resources. This work is focused on the evaluation of reclaimed urban water (RW) from Algarrobo municipality, which is located in the Malaga province in the Mediterranean coast at South-East of Spain. Wastewater in the municipal waste water treatment plant, was treated by a membrane bioreactor (MBR) as a tertiary treatment. The main goal of this work was to determine the composition of RW to be compared with fresh local water (LW) from the Algarrobo River, in order to evaluate its suitability for irrigation. Electrical conductivity (EC), pH, sodium absorption ratio (SAR), and mineral content were weekly measured from September 2017 until June 2018. Assessment of RW quality was carried out considering the limit values for each parameter as stated by the current Spanish legislation RD 1620/2007 for reuse of reclaimed water and European Directive for water reuse (EU 91/271/EEC, Annex I). The MBR facility was also focused on preserving essential minerals for plant nutrition to use them for crop fertilization instead of commercial fertilizers. The average content of nitrogen, phosphorous and potassium were, respectively, 72%, 65% and 46% of the amount needed for the Hoagland 1/4 strength solution that was used in this study for irrigation of tomato, avocado and mango crops. From this study it appears that it is possible using membrane technology, to treat urban wastewater in order to supply a good quality of water for irrigation. Water analysis has also proved MBR to be efficient for removal of microbiological pollutants, inorganic compounds, some trace elements and heavy metals. The assessment of RW shows that the evaluated parameters of water-quality are within the range of values stated by Spanish legislation and the current European Directive for secure use of reclaimed water for irrigation.

嫁接对不同灌水量下番茄产量及水分利用率的影响

为探索番茄的嫁接节水栽培方式，试验设定常规灌水量、85%灌水量和70%灌水量，研究嫁接对不同灌水量下的番茄产量和水分利用率的影响。结果表明：随着灌水量的降低，番茄的产量降低，水分利用率提高；85%和70%灌水条件下，嫁接番茄水分利用率比自根番茄分别提高了15.6%和14.5%；在不影响产量的前提下，嫁接条件下可节约番茄生产用水15%左右。 In order to explore the cultivation method for saving water of tomato grafting, the effects of grafting on yield and water use efficiency of tomato under different irrigation amount were studied by setting normal irrigation, 85% irrigation amount and 70% irrigation amount. The results show that with the decrease of irrigation, tomato yield was reduced and water use efficiency was increased; Water use rate of grafted tomato were increased by 15.6% and 14.5% under 85% and 70% irrigation; 15% of tomato irrigation water can be saved by grafting without affecting the yield.