文献类型： 外文期刊

作者： Li, Yinkun ¹ ; Guo, Wenzhong ¹ ; Wu, Jiale ¹ ; Duan, Minjie ³ ; Yang, Yi ¹ ; Liu, Shengyao ⁴ ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Res Ctr Intelligent Equipment, Beijing 100097, Peoples R China

2.CAAS, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China

3.Beijing Inst Landscape Architecture, Beijing Key Lab Ecol Funct Assessment & Regulat T, Beijing Urban Ecosyst Positioning Observat & Res, Beijing 100102, Peoples R China

4.Hebei Acad Agr & Forestry Sci, Inst Agr Informat & Econ IAIE, Shijiazhuang 050051, Peoples R China

关键词： greenhouse-grown eggplant; reference crop evapotranspiration; weighing lysimeter; daily evapotranspiration; crop coefficient

期刊名称：WATER （ 影响因子：3.53； 五年影响因子：3.628 ）

ISSN：

年卷期： 2022 年 14 卷 19 期

页码：

收录情况： SCI

摘要： Accurate estimation of crop evapotranspiration (ETc) is important to determine crop water requirements in greenhouse agriculture and to improve the irrigation water use efficiency. Here, a 3-year (2017-2019) experiment with spring greenhouse-grown eggplant (Solanum melongena L.) was conducted to investigate variation in the crop coefficient (K-c) measured with a weighing lysimeter, adjust K-c based on the local climate (K-c,K-Adj), and estimate daily ETc using a crop coefficient model. The 3-years mean local K-c (K-c,K-Loc) were 0.23 +/- 0.03, 0.62 +/- 0.06, 1.05 +/- 0.03 and 0.87 +/- 0.03 at the initial, development, mid-season, and end-season stages, respectively. Significant linear correlation was observed between K-c,K-Adj and K-c,K-Loc in the 3 years (R-2 = 0.873, 0.901, and 0.897 in 2017-2019, respectively). Compared with the FAO-56 recommended K-c value (K-c,K-FAO), the mean K-c,K-Adj and K-c,K-Loc in the 3 years were by 66.3% and 61.8% lower, respectively. The single crop coefficient model accurately estimated daily ETc for greenhouse-grown eggplant. The coefficient of determination (R-2), mean absolute error (MAE), root-mean-squared error (RMSE), and index of agreement between measured ETc and that estimated by the single crop coefficient model were 0.94, 0.35 mm.d(-1), 0.26 mm.d(-1), and 0.98, respectively, for the means in 2018 and 2019. Therefore, the crop coefficient method reliably estimated evapotranspiration with adjustment for the actual environment and can serve as a useful tool to improve water use efficiency.