Evaluation of the DRAINMOD–N II model for predicting nitrogen losses in a loamy sand under cultivation in south-east Sweden

Salazar, Osvaldo; Wesström, Ingrid; Youssef, Mohamed A.; Skaggs, R. W.; Joel, Abraham

doi:10.1016/j.agwat.2008.08.008

Cited by 51 publications

(39 citation statements)

References 48 publications

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“…We found that all N rates exceeded yield potential indicating that residual N, mainly NO 3 -, may leach if there is sufficient water to lead below the root zone. The NO 3 leaching rates are high and cause groundwater contamination, particularly in coarsetextured soils with low water retention capacity (Salazar et al, 2009).…”

Section: Environmental Impacts Of N and P Overfertilisationmentioning

confidence: 99%

Evaluation of soil fertility and fertilisation practices for irrigated maize (Zea mays L.) under Mediterranean conditions in Central Chile

Nájera

Tapia

Baginsky

et al. 2015

J. Soil Sci. Plant Nutr.

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The main aim of this study was to carry out an evaluation of soil fertility and fertilisation practices for irrigated maize (Zea mays L.) under Mediterranean conditions in central Chile. Soil samples were collected from 31 maize fields for macro-and micronutrient analysis; additionally a crop management survey was carried out in each field. These data were used to identify the range of critical soil-test concentrations of nutrients and the relationships among these soil fertility parameters; to assess the relationship between maize yields and nutrient status of soils; to evaluate the current fertiliser practices of farmers comparing them with nitrogen (N), phosphorus (P) and potassium (K) fertiliser model calculations; and to analyse whether The results showed that there was a dominance of neutral-alkaline soils with low organic matter and N levels, and high P, cations and micronutrient levels. Regression analysis explained at least 59% of the variation in maize yields, when soil pH and available zinc (Zn) content were identified as the most important variables controlling maize yield. Results suggest that in neutral-alkaline soils cultivated with maize and high inputs of N-P-K, there may be a maize yield response to Zn applications. It was found that most farmers over-fertilised with N (from 60 to 360 kg N ha -1 ) and P (from10 to 120 kg P 2 O 5 ha -1 ), converting maize fields in an important non-point source of pollution of water bodies in central Chile.

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Section: Environmental Impacts Of N and P Overfertilisationmentioning

confidence: 99%

Evaluation of soil fertility and fertilisation practices for irrigated maize (Zea mays L.) under Mediterranean conditions in Central Chile

Nájera

Tapia

Baginsky

et al. 2015

J. Soil Sci. Plant Nutr.

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“…There are many stress tolerant mechanisms operating quinoa, including drought escape, tolerance and avoidance (Addiscott et al, 1995;Power, 1993). The exact modeling of water stress-crop response in quinoa is needed to increase its usability in marginal land like the one developed by FAO recently, which includes the decision support tool in planning and scenario analysis in different seasons and locations (Nain & Kersebaum, 2007;Salazar et al, 2009;Andarzian & Ayeneh, 2008). Quantitative scheme, CROPWAT 8.0 is good for the prediction of growth, development, and yield of a crop.…”

Section: Introductionmentioning

confidence: 99%

Grain yield, biomass productivity and water use efficiency in quinoa (Chenopodium quinoa Willd.) under drought stress

Telahigue

Yahia

Aljane

et al. 2017

jsa

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Five quinoa cultivars introduced from Egypte DRC (Desert Research Center-Caire) were tested in an experimental station in Tunisia located under arid climatic conditions. In order to test their adaptation to abiotic constraints; water requirements, yield (grain, dry matter) and water use efficiency (WUE) were correlated to three water stress: T100% of field capacity (T1), T60% of field capacity (T2) and T30% of field capacity (T3). Net irrigation water requirement was estimated using CROPWAT 8.0 software. The study aims to develop an irrigation scheduling for quinoa from January to Jun during 2015 season. The ET0 was between 1.08 mm/day and 4.95 mm/day and net irrigation water requirement was 287.2 mm. For grain yield, 1000 grains weight and dry matter production results show significant differences between cultivars and water stress. The seeds productivity of the five cultivars ranges between 2092.6kg/ha and 270kg/ha under full irrigation and it decreases to reach up 74% under T3 of field capacity stress in comparison with control stress. Similar results were shown for dry matter production. On refilling soil to field capacity with irrigation at critical depletion, 70% field efficiency was achieved which correspond to optimal condition, while adapting fixed interval per stage. For WUE, highest value of irrigation and total water use efficiency for both grain and dry matter were recorded to the T2 hydrous stress.

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“…In addition, many kinds of pollutants, such as nitrogenous pollutants, especially those in the form of very soluble nitrate (i.e. NO 3 -N, NO 2 -N, and NH 3 -N) are accumulated on the surface of roadways and are swept into nearby waterways when rain falls, which can contaminate water and make it unsafe for drinking [12][13][14]. Because of the growing demand for water of both sufficient quantity and satisfied quality, irrigation water resources optimization allocation management and agricultural nonpoint sources pollution research in intensive irrigation area are at the forefront in formulating sustainable development policies for many countries [15,16].…”

Section: Introductionmentioning

confidence: 99%

A decision-support system for cropland irrigation water management and agricultural non-point sources pollution control

Li¹,

Guo²,

Liu³

et al. 2013

Desalination and Water Treatment

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In this paper, an agricultural water and nonpoint sources pollution management decision support system (AWPM) was developed in Tongzhou district and Daxing district, Beijing, China, where is relatively developed in economical but has severe water-lacking and water quality problems. The AWPM provided a dynamic decision to managers on irrigation water management, and a decision scheme system on agricultural nonpoint sources pollution control from different perspective based on hydrological models and geographic information system in the study areas. The AWPM was designed a user-friendly interface, and the results adopted from AWPM can help managers make sound decision in the suburb of Beijing and similar areas.

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Evaluation of the DRAINMOD–N II model for predicting nitrogen losses in a loamy sand under cultivation in south-east Sweden

Cited by 51 publications

References 48 publications

Evaluation of soil fertility and fertilisation practices for irrigated maize (Zea mays L.) under Mediterranean conditions in Central Chile

Evaluation of soil fertility and fertilisation practices for irrigated maize (Zea mays L.) under Mediterranean conditions in Central Chile

Grain yield, biomass productivity and water use efficiency in quinoa (Chenopodium quinoa Willd.) under drought stress

A decision-support system for cropland irrigation water management and agricultural non-point sources pollution control

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