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Predicting Nitrogen Release from Parabolic-type Resin-coated Urea in Greenhouse Tomato and Cucumber Production

文献类型： 外文期刊

作者： Xiao, Qiang 1 ; Fan, XiaoHui 3 ; Ni, XiaoHui 1 ; Li, LiXia 1 ; Zou, GuoYuan 1 ; Cao, Bing 1 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Inst Plant Nutr & Resources, Beijing 100097, Peoples R China

2.Beijing Engn Technol Res Ctr Slow Controlled Rele, Beijing 100097, Peoples R China

3.Univ Florida, Soil & Water Sci Dept, Trop Res & Educ Ctr, Homestead, FL 33031 USA

关键词： indoor incubation;pouch method;naturally varying soil temperatures;nutrient dissolved characteristics;vegetables planting

期刊名称：HORTSCIENCE （ 影响因子：1.455； 五年影响因子：1.617 ）

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收录情况： SCI

摘要： Increasing commercial use of controlled release 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 degrees 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 N-m (the maximum N release percentage from CRF) was established using a first-order kinetic equation and the method of least squares. N-m was 90.9% to 99.9% for P40d and 72.1% to 87.1% for P100d at 10-35 degrees 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 Psi representing a property of the coating material of a CRF is approximate to 1.0 for the release period of the CRF of 35-55 days and approximate to 1.2 of 80-120 days. We validated the model using two seasons of greenhouse tomato, Solanum lycopersicum L., and cucumber, Cucumis sativus 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.

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