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Agricultural Water Management
Elsevier
Agricultural Water Management

Elsevier

0378-3774

Agricultural Water Management/Journal Agricultural Water ManagementSCIISTPEI
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    Revisiting crop water stress index based on potato field experiments in Northern Germany

    Ekinzog E.K.Schlerf M.Mallick K.Kraft M....
    17页
    查看更多>>摘要：? 2022 The AuthorsDifferent types of the Crop Water Stress Index (CWSI) have been useful for water stress monitoring and irrigation management in semi-arid regions, however little research exists on its effective application in humid regions. This study aims to assess the effectiveness of three CWSI models (CWSIe - empirical, CWSIt - theoretical, CWSIh - hybrid) for crop water stress monitoring in an experimental field for potato crops in Northern Germany. Irrigation experiments with three treatments (optimum-OP, reduced-RD and no) were conducted in the summer of 2018 and 2019. Continuous canopy temperatures (Tc) for OP and RD irrigation treatments together with meteorological measurements were used to derive CWSI from the different models. Additionally, Visible/near infrared (VNIR) and Thermal Infrared (TIR) drone images were collected on several days during the growing season to create CWSI maps. The different CWSI models were correlated with volumetric soil water content (θ) measurements for comparison and relationships were established between CWSI and θ for prediction. Results showed that CWSI accurately estimates soil water content under atmospheric conditions similar to those in semi-arid regions. The predictive performance of different CWSI models were fairly good (R2 =0.57–0.63) (situation in 2019). CWSIe and CWSIh performed better than CWSIt. CWSI-θ relations calibrated in one year effectively predicted θ in another year with errors of 1.2–2.2% absolute soil water content. CWSIh could be a promising alternative to the traditional CWSI as it combines aspects of CWSIe (empirical upper limit) and of CWSIt (theoretical lower limit) which has advantages for operational use. Finally, the drone-based CWSI and θ maps (derived from the developed CWSI- θ relations) captured well the applied irrigation patterns and could help to decide when to irrigate and how much water to apply.
      原文链接:
    • NSTL
    • Elsevier

    Assessing the efficiency of smallholder sugarcane production: The case of Faisalabad, Pakistan

    Asghar S.Tsusaka T.W.Jourdain D.Saqib S.E....
    11页
    查看更多>>摘要：? 2022 Elsevier B.V.Declining water tables and shrinking irrigation supply are two major challenges for agricultural production that increase production costs of high delta crops in Pakistan. Crop producers may tackle these threats by optimizing the use of available resources. To devise policies for improved resource use and cost reduction, assessing current efficiency levels and their determinants can provide useful information. This research assessed the technical, allocative, and groundwater-irrigation efficiency of smallholder sugarcane farms in Faisalabad, Pakistan using primary data for 56 tubewell solo owners, 37 tubewell shareholders, and 47 water buyers and applying the data envelopment analysis technique. The factor affecting the allocative efficiency were explored using the tobit regression. We found that the groundwater-irrigation efficiency ranged from 92% for the solo owners, 92% for shareholders, and to 83% for water buyers. On average, technical efficiency at sugarcane farms was more than 90%. Solo owners, shareholders, and water buyers achieved only 40%, 28%, and 37% of allocative efficiency, respectively. By improving the allocative efficiency through optimal allocation of inputs, farms can considerably decrease their costs for a given output level. The allocative efficiency was negatively associated with farmers’ age, farm size, tubewell depth, discharge rate and salinity in groundwater. Our findings imply that sugarcane farms can substantially reduce their production costs by installing smaller tubewells that match their crop irrigation requirement and groundwater depth. Further, improving the allocative efficiency of relatively large sugarcane farms, monitoring and regulating groundwater extraction to prevent further increase in groundwater and irrigation and soil management practices to reduce salinity can improve the efficiency.
      原文链接:
    • NSTL
    • Elsevier

    Assessing evapotranspiration observed from ECOSTRESS using flux measurements in agroecosystems

    He X.Zeng Z.Liang L.Wu J....
    10页
    查看更多>>摘要：? 2022 Elsevier B.V.Crop water use (also know as evapotranspiraton, ET) monitoring is vital for agricultural management under the threat of water scarcity and global warming, as well as the pressure of increasing food demand. The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) has provided valuable high-resolution ET estimates since its launch in 2018. Yet, evaluation of its capability in monitoring ET in the agricultural field is lacking, as well as the intercomparison of the two ECOSTRESS ET products calculated through different algorithms (PT-JPL vs. DisALEXI). This study focused on the agroecosystems and compared the ECOSTRESS ET to eddy covariance observations at 15 cropland flux sites in North America from July 2018 to December 2020. It is found that PT-JPL captured the diurnal pattern but tended to overestimate instantaneous ET in the morning. Besides, intercomparison of the magnitude, seasonal pattern and the dependency on crop phenology of ET from PT-JPL and DisALEXI revealed the higher fidelity of DisALEXI. The site-specific validations and visual comparisons with MODIS ET retrievals demonstrated the capability of PT-JPL and DisALEXI in identifying crop types and agricultural management practices to some extent. The heterogeneity of ET values in the small-scale agroecosystems highlights the importance of accurate representation of local conditions in the ET model.
      原文链接:
    • NSTL
    • Elsevier

    Impacts of zebra chip disease and irrigation on leaf physiological traits in potato

    Rho H.O'Shaughnessy S.A.Colaizzi P.D.Paetzold L....
    9页
    查看更多>>摘要：? 2022 Elsevier B.V.Zebra chip disease (ZC) is caused by the fastidious, phloem-limited, bacterial pathogen ‘Candidatus Liberibacter solanacearum (Lso), which is transmitted from plant to plant by the potato psyllid (Bactericera cockerelli (Sulc)). Understanding how ZC impacts potato (Solanum tuberosum L.) physiology, could help growers in making more informed crop management decisions. Measurements of instantaneous leaf physiological responses, such as photosynthetic CO2 uptake and transpiration on the leaf surface, can be used not only for fast screening of affected plants in the field but also for optimizing irrigation management. Over the 2019 and 2020 field seasons, we characterized time-course photosynthetic physiological responses of potato plants infested by potato psyllids (B. cockerelli (Sulc)) carrying the Lso haplotypes A+B. Potato plants were subjected to different variable-rate irrigation (VRI) treatments (100%, 80%, and 60% of field capacity of the soil) through a center-pivot sprinkler system to examine the impact of the disease on key physiological parameters of photosynthesis and transpiration. Leaf and air temperatures, and hyperspectral profiles of the canopy were also measured and compared. The measurements were made during midday weekly from 25 to 50 days after plant infestation (DAI) with bacteriliferous psyllids. The results showed that many of the measured variables, including stomatal conductance, photosynthesis rate, transpiration rate, quantum yields, and normalized difference in vegetation index started to decrease beginning approximately 28–35 DAI, gradually worsening until 50 DAI, in both 2019 and 2020, as the infection proceeded. The decreases in stomatal conductance in infected plants led to decreases in photosynthesis and transpiration. In turn, reduced transpiration resulted in increased leaf temperature due to decrease in evaporative cooling on the leaf surface. Higher leaf temperatures under hot and dry conditions with high light intensity during the daytime would further reduce photosynthetic light harvesting, which is supported by our data, indicating the damage to the photosynthetic pigment formation and machinery. These findings support the previous report that increased leaf temperature in infected plants may have been derived from the closure of stomata in hypersensitive reactions to infection. These stomatal responses were detected within 28 DAI, a week earlier than the differences in hyperspectral profiles observed 35 DAI, and could be implemented in early disease detection strategiesusing measurements of leaf temperature.
      原文链接:
    • NSTL
    • Elsevier

    Simulation modeling for effective management of irrigation water for winter wheat

    Shen H.Wang Y.Jiang K.Li S....
    10页
    查看更多>>摘要：? 2022 Elsevier B.V.Lack of water resources, low irrigation efficiency, and inappropriate irrigation decisions severely restrict agricultural production in arid and semi-arid regions. Therefore, rapid and accurate decision-making regarding crop irrigation in real time is necessary. This study optimized irrigation scheduling by using information on different meteorological years and obtained the average soil water content (0–60 cm) before each irrigation, the corresponding irrigation time, and the water available for irrigation. The relative development speed of winter wheat and the amount of water available for irrigation were considered, and a dynamic irrigation water limit model was constructed. Winter wheat field experiments over 3 years (2016–2019) were followed by an evaluation of the regional applicability of the decision support system for the agrotechnology transfer model. A long short-term memory network effectively predicted air temperature and solar radiation; the R2 and root mean square error values were 0.802–0.964% and 12.53–23.9%, respectively. Public weather forecasts can be used to accurately predict rainfall, with 87.3% and 57% accuracy rates for forecasts of no rain and rain, respectively. Compared with traditional irrigation, the use of this dynamic irrigation lower limit for irrigation forecasting can increase yield and attendant net benefits. When two and three irrigation treatments were applied during the winter wheat growth period, the 3-year average yield increased by 10.3% and 4.4%, respectively, and the net benefit increased by 19.1% and 7.4%, respectively. The proposed method avoids relying on only field experiments to determine the irrigation lower limit and allows for the effective implementation of optimized irrigation schedules and the dynamic correction of irrigation plans in arid and semi-arid areas.
      原文链接:
    • NSTL
    • Elsevier

    A watershed-scale assessment of climate change impacts on crop yields in Atlantic Canada

    Kang X.Meng F.-R.Qi J.Li S....
    15页
    查看更多>>摘要：? 2022 Elsevier B.V.Agriculture in Atlantic Canada (AC) is dominated by a rain-fed potato production system, with potatoes typically rotating with cereal crops such as barley and oats. Under rain-fed conditions, crop yields are sensitive to weather and its variations and are thus affected by climate change. Previous research regarding climate change impacts on crop yields in AC has been limited to a regional-scale assessment, mostly focusing on climate without considering real-world field conditions (e.g., soil and topography). In this study, an enhanced Soil and Water Assessment Tool (SWAT) model was used to estimate crop yields at the watershed scale under climate change conditions projected for the period of 2020–2099 using global climate models with three different greenhouse gas (GHG) emission scenarios from the Representative Concentration Pathways (i.e., RCP2.6, 4.5, and 8.5). Results suggest that climate change will negatively impact potato and barley yields under all three RCP scenarios. In particular, under the RCP8.5 scenario, there will be significant reductions (13–23%) in crop yields between 2060 and 2099. The leading cause of crop yield reductions is attributed to the soil water stress resulting from increased temperature and evapotranspiration during the growing season due to climate change. Elevated carbon dioxide (CO2) concentrations could potentially increase crop yields due to the CO2 fertilization effect. However, it is not enough to offset the negative impacts of soil water stress. Our results suggest that on top of controlling GHG emissions to below the RCP4.5 level, it is critical to develop and adapt crop, soil, and water management practices such as new crop-rotation systems, early planting dates, and supplemental irrigation to maintain future crop yields in AC.
      原文链接:
    • NSTL
    • Elsevier

    Effect of brewery wastewater irrigation on soil characteristics and lettuce (Lactuca sativa) crop in Ethiopia

    Gorfie B.N.Woldeyohannes A.B.Tuhar A.W.Keraga A.S....
    12页
    查看更多>>摘要：? 2022 Elsevier B.V.Due to the shortage of water for irrigation, brewery wastewater is currently used as a source of irrigation for crops in developing countries including Ethiopia. However, there is little information about the influence of brewery wastewater on soil properties, crop nutrients and productivity in Ethiopia. Thus, this study was conducted to investigate the effect of brewery wastewater on soil physical and chemical characteristics, agronomic traits and nutrients composition of lettuce crop. Wastewater and wastewater irrigated soil samples were collected for laboratory analysis. The pot experiment was also conducted in completely randomized design (CRD) with three replications using four treatments where 100%, 75%, 50%, and 25% of the water demand was covered by brewery wastewater (WW), where one additional treatment namely 100% control water(CW) was used. The analysis of physical-chemical contents for brewery wastewater samples indicated that the values for EC, TSS, BOD, COD, HCO3-, K+, SSP and SAR levels were above the permissible limit of the FAO irrigation water quality standard. The mean values of T, pH, TDS, NO3-N, Ca+2, Mg+2, Na+, and Magnesium Hazard (MH) were below the permissible limit of the FAO standard. The pot experiment showed that 100%WW irrigated soils non-significantly (p < 0.05) enhanced the lettuce traits of leaf length, number of leaves, and fresh leaf weight by 12%, 22%, and 24% over 100%CW irrigated soils. In addition, 100%WW irrigation significantly (p < 0.05) enhanced the plant height and nutrient compositions (Ca2+, Mg2+, Na+, K+ Fe, Zn, Mn and TN) of lettuce leaf. The study concludes that the brewery wastewater is saline-sodic and it affects soil characteristics and lettuce crop. Therefore, ameliorative measures such as gypsum seem to be inevitable, and, there should be continuous monitoring and evaluation for the quality status of brewery wastewater before use for irrigation.
      原文链接:
    • NSTL
    • Elsevier

    Quantifying the potential impacts of meltwater on cotton yields in the Tarim River Basin, Central Asia

    Xu M.Wu H.Peng Z.Chen X....
    14页
    查看更多>>摘要：? 2022 Elsevier B.V.Snow and glaciers provide water to the densely populated downstream area of the Tarim River Basin, which is an important irrigated agricultural area in China. Cotton is an important cash crop, and meltwater is an important irrigation water source for cotton in this region. In this study, the spatiotemporal dependence of cotton yield on mountain meltwater resources in the subbasins of the Tarim River basin was quantified by the variable infiltration capacity (VIC) hydrologic model with the degree-day and CROPR models during 1960–2017. The results showed that the changes in meltwater in all subbasins had a significantly increasing trend. Meltwater contributions to cotton irrigation and yield varied spatiotemporally. Along the area south of the Tian Shan Mountains, the meltwater contribution to irrigation showed a decreasing trend from west to east, and the highest contribution of meltwater to cotton yield occurred in the Weigan River basin, followed by the Aksu River basin and Kaidu River basin. Along the northern Karakoram Mountains, the meltwater contributions to cotton irrigation and yield first decreased and then increased from west to east. In the whole basin, 48.6% of total irrigation withdrawals originated from mountain snow and glacial meltwater and contributed an additional 55.9% to total cotton production during the study period. The results provide important agricultural information for locations where shifts in water availability and demand are projected as a result of socioeconomic growth.
      原文链接:
    • NSTL
    • Elsevier

    Corrigendum to “Ecological risk assessment of zinc metal in different varieties of wheat (Triticum aestivum L.) irrigated with wastewater regimes: Assessing the public health risk” [Agric. Water Manag. 267 (2022) 107615](S0378377422001627)(10.1016/j.agwat.2022.107615)

    Chen F.Ma J.Ashraf M.A.Zafar A....
    1页
    查看更多>>摘要：? 2022 Elsevier B.V.The authors regret that there are some mistakes in the affiliations which are now mentioned in this corrigendum request. The authors would like to apologise for any inconvenience caused.
      原文链接:
    • NSTL
    • Elsevier

    Optimizing effluent trading and risk management schemes considering dual risk aversion for an agricultural watershed

    Zhang J.Xu X.Wang X.Li Y....
    21页
    查看更多>>摘要：? 2022 Elsevier B.V.Increasing amounts of wastewater are discharged to water bodies, with a risk of exceeding their capacity to cope with such loads. Nutrient discharge forms two types of risk, i.e., economic and excess effluent risks. In this study, a Bayesian dual risk aversion based stochastic programming (BDRSP) is proposed for selecting optimal effluent trading and multi-risk management schemes. The BDRSP framework includes uncertain simulation for nutrient loading, optimization techniques for optimal trading planning, copulas for disclosing spatial correlation of nutrient pollution as well as TOPSIS for selecting optimal risk management schemes. BDRSP is applied to a real case of Daguhe watershed, China for planning of a NH3-N trading system. Trading ratios are estimated based on ratio between environmental damages at the watershed outlet that emission discharges in two sources. Optimal effluent trading scheme is obtained considering random pollutant loading and the associated dual risk. The spatial pattern of nutrient pollution risk is identified based on joint probability distributions and the related joint exceedance probability of different locations with copulas. Optimal dual risk management schemes are generated considering system benefit, unit revenue as well as NH3-N loading and its spatial pattern. Risk management schemes under high economic and excess effluent risk control levels (i.e. 0.85≤ε≤1, 0.4≤ρ≤0.6 and 0.85≤ε≤1, 0.8≤ρ≤1) are recommended.
      原文链接:
    • NSTL
    • Elsevier