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  • Predicting nitrogen release from parabolic-type resin-coated urea in greenhouse tomato and cucumber production.

    Author(s) : Xiao QiangFan XiaoHuiNi XiaoHuiLi LiXiaZou GuoYuanCao Bing

    Author Affiliation : Institute of Plant Nutrition and Resources, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.

    Author Email : xqiang1978@163.com609284507@qq.com

    Journal article : HortScience 2017 Vol.52 No.7 pp.1013-1019 ref.30

    Abstract : Increasing commercial use of controlled releasecontrolled releaseSubject Category: Techniques, Methodologies and Equipment
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    fertilizer (CRF) has prompted the need to predict N release simply and viably in the greenhouse environment. Two CRFs were tested, i.e., P40d and P100d by incubating them for 40 or 100 days either in static water at 10, 15, 20, 25, and 35°C or in the soil of vegetable plots in a greenhouse lacking temperature controls. Cumulative nitrogen release (CNR) from a CRF was represented by a parabola curve and significantly affected by the incubation temperature. A method to calculate Nm (the maximum N release percentage from CRF) was established using a first-order kinetic equation and the method of least squares. Nm was 90.9% to 99.9% for P40d and 72.1% to 87.1% for P100d at 10-35°C, respectively. A relationship function between the N release rate and naturally fluctuating greenhouse soil temperatures was established using the activation energy of the N release reaction. Then a model was constructed with field temperature as the variable to predict N release throughout the entire greenhouse crop production season. The value of ψ representing a property of the coating material of a CRF is ∼1.0 for the release period of the CRF of 35-55 days and ∼1.2 of 80-120 days. We validated the model using two seasons of greenhouse tomato, Solanum lycopersicumsolanum lycopersicumSubject Category: Organism Names
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    L., and cucumber, Cucumis sativuscucumis sativusSubject Category: Organism Names
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    L., production data, and found that the error was less than 12% points. This indicated that the constructed model was sufficiently simple, practical, and accurate for use by growers, and fertilizer industry and regulatory personnel.

    ISSN : 0018-5345

    DOI : 10.21273/hortsci11581-17

    Record Number : 20173304529

    Publisher : American Society for Horticultural Science

    Location of publication : Alexandria

    Country of publication : USA

    Language of text : English

    Indexing terms for this abstract:

    Organism descriptor(s) : Cucumis sativuscucumis sativusSubject Category: Organism Names
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    , Solanum lycopersicumsolanum lycopersicumSubject Category: Organism Names
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    Descriptor(s) : controlled releasecontrolled releaseSubject Category: Techniques, Methodologies and Equipment
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    , crop yieldcrop yieldSubject Category: Properties
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    , cucumberscucumbersSubject Category: Commodities and Products
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    , mathematical modelsmathematical modelsSubject Category: Techniques, Methodologies and Equipment
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    , nitrogen fertilizersnitrogen fertilizersSubject Category: Commodities and Products
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    , predictionpredictionSubject Category: Techniques, Methodologies and Equipment
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    , protected cultivationprotected cultivationSubject Category: Techniques, Methodologies and Equipment
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    , soil temperaturesoil temperatureSubject Category: Properties
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    , tomatoestomatoesSubject Category: Commodities and Products
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    , urea fertilizersurea fertilizersSubject Category: Commodities and Products
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    Identifier(s) : cultivation under glass or plastic, Lycopersicon esculentum, slow release

    Broader term(s) : CucumiscucumisSubject Category: Organism Names
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    , CucurbitaceaecucurbitaceaeSubject Category: Organism Names
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    , CucurbitalescucurbitalesSubject Category: Organism Names
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    , eudicotseudicotsSubject Category: Organism Names
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    , angiospermsangiospermsSubject Category: Organism Names
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    , SpermatophytaspermatophytaSubject Category: Organism Names
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    , plantsplantsSubject Category: Organism Names
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    , eukaryoteseukaryotesSubject Category: Organism Names
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    , SolanumsolanumSubject Category: Organism Names
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    , SolanaceaesolanaceaeSubject Category: Organism Names
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    , SolanalessolanalesSubject Category: Organism Names
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