Study of evapotranspiration and crop coefficients for eggplant in a Venlo‐type greenhouse in South China

温室 蒸散量 中国 作物 作物系数 环境科学 农学 林业 农林复合经营 地理 生物 生态学 考古
作者
Biyu Wang,Rongxuan Bao,Haofang Yan,Hexiang Zheng,Zhiyong Wu,Chuan Zhang,Guoqing Wang
出处
期刊:Irrigation and Drainage [Wiley]
标识
DOI:10.1002/ird.3025
摘要

Abstract Determination of greenhouse evapotranspiration (ET c ) and the response mechanism of environmental factors are important for accurate irrigation management and greenhouse environmental control. Models for predicting ET c under greenhouse conditions are extremely scarce in comparison to those under open field conditions. Meteorological data inside and outside a Venlo‐type greenhouse were measured from April to July 2015 to estimate the reference evapotranspiration (ET 0 ) based on four approaches (the Penman–Monteith model, a revised Penman–Monteith model, a modified Priestley–Taylor approach and the Irmark–Allen fitting approach). The daily ET 0 values inside the greenhouse calculated from these four methods presented similar variation trends but were somewhat different. The ET c for eggplant in the greenhouse was measured by lysimeters to estimate the crop coefficient with the FAO‐56 method ( K c = ET c /ET 0 ), and the response mechanism of environmental factors on the ET c was analysed. The results showed that the crop coefficients of the eggplant were different, with values of 0.94–1.97, 0.83–1.87, 0.64–1.34 and 0.58–1.21 based on the ET 0 from the Penman–Monteith model, revised Penman–Monteith model, modified Priestley–Taylor approach and Irmark–Allen fitting approach, respectively; the net radiation showed the highest correlation with the ET c ; the secondary parameters were the air temperature and solar radiation, with R 2 values equal to 0.77 and 0.75, respectively; and the relative humidity and soil temperature showed different extents of influence on the ET c . The results of this study provide more options for greenhouse cultivars to accurately determine the ET c of eggplants using the FAO‐56 method based on the availability of different meteorological data.

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