Agricultural Water Management Journal Impact Factor & Information

Publisher: Elsevier Masson

Journal description

The journal is concerned with the publication of scientific papers of international significance to the management of agricultural water. The scope includes such diverse aspects as irrigation and drainage of cultivated areas, collection and storage of precipitation water in relation to soil properties and vegetation cover; the role of ground and surface water in nutrient cycling, water balance problems, exploitation and protection of water resources, control of flooding, erosion and desert creep, water quality and pollution both by, and of, agricultural water, effects of land uses on water resources, water for recreation in rural areas, and economic and legal aspects of water use. Basic soil-water-plant relationships will be considered only as far as is relevant to agricultural water management.

Current impact factor: 2.33

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 2.333
2012 Impact Factor 2.203
2011 Impact Factor 1.998
2010 Impact Factor 1.782
2009 Impact Factor 2.016
2008 Impact Factor 1.646
2007 Impact Factor 1.388
2006 Impact Factor 1.122
2005 Impact Factor 0.841
2004 Impact Factor 0.835
2003 Impact Factor 0.865
2002 Impact Factor 0.672
2001 Impact Factor 0.526
2000 Impact Factor 0.309
1999 Impact Factor 0.333
1998 Impact Factor 0.273
1997 Impact Factor 0.32
1996 Impact Factor 0.343
1995 Impact Factor 0.341
1994 Impact Factor 0.258
1993 Impact Factor 0.122
1992 Impact Factor 0.291

Impact factor over time

Impact factor
Year

Additional details

5-year impact 2.55
Cited half-life 6.30
Immediacy index 0.41
Eigenfactor 0.01
Article influence 0.68
Website Agricultural Water Management website
Other titles Agricultural water management (Online)
ISSN 0378-3774
OCLC 38523106
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Elsevier Masson

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Authors pre-print on any website, including arXiv and RePEC
    • Author's post-print on author's personal website immediately
    • Author's post-print on open access repository after an embargo period of between 12 months and 48 months
    • Permitted deposit due to Funding Body, Institutional and Governmental policy or mandate, may be required to comply with embargo periods of 12 months to 48 months
    • Author's post-print may be used to update arXiv and RepEC
    • Publisher's version/PDF cannot be used
    • Must link to publisher version with DOI
    • Author's post-print must be released with a Creative Commons Attribution Non-Commercial No Derivatives License
    • Publisher last reviewed on 01/05/2015
    • 'Elsevier Masson' is an imprint of 'Elsevier'
  • Classification
    ​ green

Publications in this journal

  • Agricultural Water Management 12/2015; 162:47-56. DOI:10.1016/j.agwat.2015.08.003
  • Agricultural Water Management 12/2015; 162:33-46. DOI:10.1016/j.agwat.2015.08.008
  • A. Satriani · A. Loperte · F. Soldovieri
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    ABSTRACT: This paper deals with the combined use of non-invasive technologies for a reliable and ready measures of soil physical parameters. In particular, time domain reflectometry (TDR) was deployed for soil moisture estimation in combination with geophysical investigations as electrical resistivity tomography (ERT) and ground penetrating radar (GPR). The investigation regarded two cultivars of dry bean (Phaseolus vulgaris L.), a dry bean landrace and a common bean. The irrigation of these cultivars have been carried out by drip emitters placed on the bean rows, with different irrigation regimes based on crop evapotranspiration (ETc) demand calculated from the analysis of weather data. Geophysical surveys, basesd on ERT and GPR, were performed during the growth season along transects longitudinal and parallel to the bean rows with the aim to obtain soil images for the identification and characterization of crop roots locations. Data analysis of variance indicated that a reduction in the total irrigation amount of 50% of Etc demand ensures good conditions of soil moisture and does not determine significantly decreased production in the local bean genotype, probably because of its lower sensitivity to water stress. This confirms that the choice of autochthonous varieties well adapted to the local environment, could be a winning choice for the purpose of sustainable management of irrigation water.
    Agricultural Water Management 12/2015; 162:57-66. DOI:10.1016/j.agwat.2015.08.010
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    ABSTRACT: Topsoil water content (TSWC) is a key factor for crop establishment and subsequent production, runoff generation, soil detachment, and other soil processes. TSWC is one of the most variable soil properties due to the complexity of water fluxes in the unsaturated zone. The studies about TSWC in cultivated Calcisols are limited and almost inexistent under fallow treatment in rainfed cereal fields. We hypothesize that certain wetness characteristics (patterns, ranges and changes) of a soil portion remain over time. This study seeks to identify the spatial patterns of TSWC and their temporal stability in a Mediterranean fallow rainfed cereal field (1.6 ha, partial stubble retention, no weed growth allowed) and Haplic Calcisol-type soil. During 15 months (December 2009 to February 2011) and 25 field surveys measurements were made at 156 points (three values per point) by using a frequency-domain probe. Values of TSWC varied significantly and four humidity periods were identified using antecedent rainfall and evapotranspiration values: wet (November–February, 27.1 vol.% on average), spring (March–June, 18.8 vol.%), dry (July–September, 12.1 vol.%) and wetting-up (October, 18.8 vol.%). The relative differences within the field decreased under wet conditions and were higher in the dry surveys. The combined analysis of the standard deviation of the relative differences (SDRD) and the maps of TSWC showed that the spatial patterns of both the water content and the value changes were not stable at short-term. However, eight water content zones were defined at long-term supporting the initial hypothesis: wettest (23.8 vol.%), driest (16.8 vol.%), stable (SDRD < 0.134) and moist and dry, medium stability and moist and dry, most variable (SDRD > 0.247) and moist and dry. Satisfactory correlations were obtained with two topographic factors (average slope of the contributing area and convexity) and four soil properties (rock, silt, carbonates and the water content at field capacity) and correlations improved in the wet period related to the dry period. A different time response of the TSWC values appeared in the wet (between 2 and 3 days) and dry (6 and 7 days) periods related to the antecedent rainfall and evapotranspiration. The different water content zones presented different values of the soil and topographic factors that explain the different temporal stability of the relative differences in TSWC.
    Agricultural Water Management 11/2015; 161:41-52. DOI:10.1016/j.agwat.2015.07.009
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    ABSTRACT: A prescription map is a set of instructions that controls a variable rate irrigation (VRI) system. These maps, which may be based on prior yield, soil texture, topography, or soil electrical conductivity data, are often manually applied at the beginning of an irrigation season and remain static. The problem with static prescription maps is that they ignore spatiotemporal changes in crop water status. In a two-year study (2012 and 2013), a plant feedback system, including a wireless sensor network of infrared thermometers (IRTs), was used to develop dynamic prescription maps to accomplish adaptive irrigation scheduling for cotton (Gossypium hirsutum L.). One-half of a center pivot field was divided into manually and plant feedback-controlled irrigation treatment plots. Irrigation treatments were at three levels, 75, 50 and 25 percent of full as defined by either replenishment of crop water use to field capacity or by the equivalent threshold of the IRT sensed crop water stress. The system accepted user input to control irrigation for the manual treatment plots (I75M, I50M, and I25M), and calculated and compared a thermal stress index for each plant feedback-controlled treatment plot (I75C, I50C and I25C) with a pre-determined threshold for automated irrigation scheduling. The effectiveness of the plant feedback irrigation scheduling system was evaluated by comparing measured lint yield, crop water use (ETc), and water use efficiency (WUE) with the manually scheduled treatment plots. Results for both years indicated that average lint yields were similar between the manual and plant feedback-control plots at the I75 level (181 and 182 g m−2, respectively, in 2012; 115 and 103 g m−2, respectively, in 2013) and I50 level (146 and 164 g m−2, respectively, in 2012; 95 and 117 g m−2, respectively, in 2013). At the I25 level, average lint yield was significantly greater for the plant feedback-compared with the manual-control treatment plots (142 g m−2 and 92 g m−2, respectively), but the mean amount of irrigation was twice that of the manual-control plots. Mean water use efficiencies (WUE) within the same irrigation treatment levels were similar between methods. Importantly, the automatic plant feedback system did not require the time consuming and expensive manual reading of neutron probe access tubes that was required to schedule the manual treatments. These results demonstrate that the integration of a plant feedback system with a commercial VRI system could be used to control site-specific irrigation management for cotton at higher irrigation treatment levels, i.e., I75 percent and I50 percent of full. Such a system can facilitate the use of a VRI system by automating prescription map coding and providing dynamic irrigation control instructions to meet variable crop water needs throughout the irrigation season. As of yet, further research is required to maintain automatic deficit irrigation at a level equivalent to 25 percent replenishment of crop water use relative to field capacity.
    Agricultural Water Management 09/2015; 159. DOI:10.1016/j.agwat.2015.06.001
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    ABSTRACT: High salinity and macronutrient deficiencies are two important limitations of coastal saline soils. The present study focused on the changes in electrical conductivity (EC), and the redistribution of water soluble carbon (C), total nitrogen (N), and absorbable phosphorus (P) during the reclamation of coastal saline soil using different amendments. Eight soil treatments were tested: cotton straw powder (J), domestic sewage sludge (W), sewage sludge + cotton residue (J + W), beach sand (S), cotton straw powder + beach sand (J + S), domestic sewage sludge + beach sand (W + S), domestic sewage sludge + cotton residue + beach sand (J + W + S), and a control treatment (CK). Triplicate soil samples for each treatment were initially treated once with underground saltwater (with or without bacterial manure). After the first month of incubation, irrigation was conducted weekly. EC measurements in different soil layers showed that sewage sludge was the best amendment for reducing soil EC, while cotton straw powder had no significant effect. Concentrations of N and C increased with soil depth, while the highest P concentration was observed in the uppermost soil. Soil amended with organic matter showed the highest P concentrations, and P availability increased with the application of all amendments except sand, which had no significant effect. The compound treatments had more positive impacts on N availability than did single amendments; however, their effects on P concentration were minimal. The results indicated that sewage sludge was the most effective amendment for reclaiming coastal saline soil and improving the availability of macronutrients.
    Agricultural Water Management 09/2015; 159. DOI:10.1016/j.agwat.2015.06.002
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    ABSTRACT: Supplementary irrigation is one of the proposed management practices to increase the area under grain production mainly in the Humid Pampas (HP). The most common source of irrigation water in the HP comes from groundwater and is characterized by its high sodium bicarbonate content. However, the effect of the combination of irrigation and rain water on the chemical and physical properties of soils, especially when irrigation water comprises water with sodium bicarbonate, is still not well documented. The objective of the present study is to establish irrigation water suitability criteria under conditions of combined rain and irrigation. The trials were carried out on six irrigated plots and another five plots were chosen for validation purposes. Hydraulic conductivity and bulk density were measured in the field. Soil chemical analysis was performed on undisturbed soil samples. Supplementary irrigation using sodium bicarbonated water raises the soil electrical conductivity (ECe), the pH, exchangeable sodium percentage (ESP), soil sodium adsorption ratio (SARe) and cation exchange capacity (CEC) which produces an increase in bulk density (δb), reducing the overall porosity of the soil. The effect of the soil SAR on the soil hydraulic conductivity (K) was evident when the soil SAR levels were greater than 3.5. The dilution factor proposed in this study allows the classification of water for supplementary irrigation linked to the management of irrigation.
    Agricultural Water Management 09/2015; 159. DOI:10.1016/j.agwat.2015.06.017
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    ABSTRACT: Water scarcity and salinity are two important limitations for agricultural production. Interaction effects of deficit irrigation and shallow groundwater on crop water use could increase water productivity in arid and semi-arid areas. Quinoa is a traditional Andean seed crop that has been introduced all around the world. However, response of quinoa as a salinity and drought tolerant crop to shallow saline groundwater under deficit irrigation has not been studied. Therefore, the aim of this study was to investigate the influence of saline groundwater depths, GD (0.3, 0.55, and 0.80 m) and deficit irrigation, DI (80, 55 and 30% of full irrigation, FI) on growth, yield and water productivity of quinoa and groundwater contribution (GWC) to its water use in lysimeters under greenhouse conditions. Results indicated that 70% reduction of the full irrigation water resulted in only 36% reduction in seed yield (SY) as compared with maximum SY (2.1 Mg ha−1 at 0.80 m GD with 0.80FI), whereas water productivity based on SY (WUEIseed) increased 12%. Shoot dry matter (SDM) is not sensitive to water deficit and reducing the irrigation volume from 0.80FI to 0.30FI resulted in only 8% decrease in SDM in presence of shallow groundwater. It is concluded that at moderate deficit irrigation (0.80FI) shallow groundwater should be maintained at 0.55 m or higher to obtained maximum SY; however, in places with shallow groundwater (0.30 m), deficit irrigation should be applied in order to achieve higher SY. On average, 27% and 41% reduction in GWC was observed by increasing GD from 0.30 to 0.55 m and 0.30 to 0.80 m, respectively. GWC/ET ranged from 0.40 to 0.72 for 0.80FI, 0.46 to 0.75 for 0.55FI and 0.51 to 0.80 for 0.30FI. Finally, contour plot was developed to show the combined effect of DI and GD on GWC/ET. The boundary for groundwater contribution to quinoa ET is (SWD is the soil water depletion fraction of total available water). Results indicated that 210 mm of ET is required to initiate SY production for quinoa in greenhouse conditions and transpiration efficiency (the ratio of SDM to the seasonal transpiration) for quinoa dry matter production is 0.028 Mg ha−1 mm−1. Seed and dry matter yield response factor to water stress indicated that SY is more sensitive to water stress, followed by root dry matter (RDM) and SDM.
    Agricultural Water Management 09/2015; 159. DOI:10.1016/j.agwat.2015.06.005
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    ABSTRACT: The excessive use of nitrogen (N) fertilizer for crop production can cause substantial N losses through surface runoff, generating serious nonpoint pollution. A thorough understanding of N runoff losses is necessary for optimal N management in vegetable production systems. A 3-year field experiment was conducted at a Chinese cabbage field in the Taihu Lake Basin of China to evaluate the characteristics of N runoff losses and the effect of different N fertilizer treatments on N runoff losses during the autumn and winter, 2010–2012. The results demonstrated that surface runoff was significantly and positively related to rainfall. The highest risk of N runoff loss occurred one week after fertilization, and top dressing increased this risk. NO3−-N was the main runoff component, accounting for 49.32–71.82% of the total N losses. The concentration of NO3−-N was significantly and positively related to the concentration of total N in the runoff. Significant differences in N runoff losses were observed between N fertilizer treatments. N runoff losses from conventional fertilizer were 10.43–22.68 kg ha−1, significantly higher than from other treatments, and the total N net runoff loss rates for conventional fertilizer treatment were 3.48–7.56%. The application of organic fertilizer reduced N runoff loss by 15.70–18.14% compared to conventional fertilizer application. Organic–inorganic compound fertilizer reduced N runoff loss by 27.37–36.27% compared with conventional fertilizer. Slow-release fertilizers had very significant positive effects in controlling N runoff loss, with a 58.29–61.01% reduction for sulfur-coated urea, a 49.33–56.05% reduction for biological carbon power urea, and a 59.79–63.59% reduction for bulk-blend controlled-release fertilizer relative to conventional fertilizer. This study provides vital baseline information for fertilizer choice and management practices, which can be used to reduce N runoff losses and encourage the development of new fertilizer strategies for vegetable planting.
    Agricultural Water Management 09/2015; 159. DOI:10.1016/j.agwat.2015.06.008