New Strategy for Optimizing Water Application under Trickle Irrigation

Schmitz, Gerd; Schütze, Niels; Petersohn, Uwe

doi:10.1061/(asce)0733-9437(2002)128:5(287)

Cited by 39 publications

(23 citation statements)

References 13 publications

(6 reference statements)

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“…Thus drip irrigation offers a better way to utilize the salty soil in agriculture at Xinjiang, and improves the economic returns [6,7] . In order to establish the appropriate application mode in this specific area, scholars studied the water-salt transportation characteristics [8][9][10][11][12] , and the effects of soil salinity on photosynthesis [13][14][15][16][17][18][19] , soil-resistance assessment, etc. [20][21][22][23] .…”

Section: Introductionmentioning

confidence: 99%

Controlling threshold in soil salinity when planting spring wheat and sequential cropping silage corn in Northern Xinjiang using drip irrigation

Wang

Zhou

Lei

et al. 2018

International Journal of Agricultural and Biological Engineering

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Xinjiang Region of China is one of the most typical and representative arid areas worldwide, along with severe soil salinization issue. Planting spring wheat and sequential cropping silage corn in Northern Xinjiang using drip irrigation has become an effective way to relieve soil salinity stress, which improves the simple agricultural structure in the past and ensures food security in this area. However, neither the effects of different soil salinities on the growth and yield of spring wheat and silage corn, nor their desalination effect correspondingly was clear until now. Therefore, a pot experiment was conducted at Shihezi, Xinjiang from March to June 2015. The study aimed to establish the quantitative correlations between the parameters mentioned above and came up with the appropriate soil salinity threshold in Northern Xinjiang area. The results confirmed that the soils in all treatments were desalinated after the whole growth period, and the decreasing rates varied within 18.89%-44.08% and 11.06%-30.83% for two plants, which showed linear and quadratic correlations with initial soil salinity, respectively (R 2 >0.92**, p<0.05). Meanwhile, higher soil salinity would inhibit crop growth and yield, and the initial soil salinity also represented the negative quadratic correlations with growth parameters (R 2 >0.92**, p<0.01). The inhibition effect was enhanced with larger initial soil salinity. After the comprehensive consideration of soil salinity variation, crop growth and yield, the initial soil salinity was recommended under 8.91 g/kg and 5.54 g/kg to plant spring wheat and sequential cropping silage corn in Northern Xinjiang using drip irrigation.

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Section: Introductionmentioning

confidence: 99%

Controlling threshold in soil salinity when planting spring wheat and sequential cropping silage corn in Northern Xinjiang using drip irrigation

Wang

Zhou

Lei

et al. 2018

International Journal of Agricultural and Biological Engineering

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“…The program is recommended as a useful tool for research and design of SDI systems. This simulation program may be used for optimal management of SDI systems (Meshkat et al 2000;Schmitz et al 2002;Cote et al 2003;Li et al 2005) or for system design purposes (BenGal et al 2004;Provenzano 2007;Gil et al 2011).…”

Section: Hydrus 2d/3dmentioning

confidence: 99%

A Review of Subsurface Drip Irrigation and Its Management

Sinobas¹,

Rodríguez²

2012

Water Quality, Soil and Managing Irrigation of Crops

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“…Quite recently Schmitz et al [31] presented an innovative work for establishing water application parameters to create an optimal soil moisture profile using an artificial neural network approach.…”

Section: Irrigation Management Problemsmentioning

confidence: 99%

Irrigation management: the optimization perspective

Cunha¹

2006

WIT Transactions on Ecology and the Environment, 96

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Irrigation management deals with many different decisions: the selection of economically viable cropping patterns, allocation of land per crop, allocation of water resources per crop, irrigation scheduling, management of irrigation deficit, etc. Plants need appropriate amounts of water, and its distribution during the full growing cycle has a tremendous influence on the final crop yield. This means that managing the soil water content is crucial to obtain an optimal allocation of water resources, supposing that the other production factors are adequate. The use of decision models to help irrigation management appears to be an interesting approach, as they are capable of handling different facets of such problems (economic, physiological, environmental, etc.) all together. This paper presents a synthetic state-of-the-art literature review of the optimization models for these purposes. The different agricultural production functions and their inclusion in the decision models are discussed.

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New Strategy for Optimizing Water Application under Trickle Irrigation

Cited by 39 publications

References 13 publications

Controlling threshold in soil salinity when planting spring wheat and sequential cropping silage corn in Northern Xinjiang using drip irrigation

Controlling threshold in soil salinity when planting spring wheat and sequential cropping silage corn in Northern Xinjiang using drip irrigation

A Review of Subsurface Drip Irrigation and Its Management

Irrigation management: the optimization perspective

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