Modelling transpiration of greenhouse gerbera (Gerbera jamesonii H. Bolus) grown in substrate with saline water in a Mediterranean climate

被引:30
|
作者
Carmassi, Giulia [1 ]
Bacci, Laura [2 ]
Bronzini, Matteo [1 ]
Incrocci, Luca [1 ]
Maggini, Rita [1 ]
Bellocchi, Gianni [3 ]
Massa, Daniele [4 ]
Pardossi, Alberto [1 ]
机构
[1] Univ Pisa, Dept Agr Food & Environm, Pisa, Italy
[2] CNR IBIMET, Inst Biometeorol, Florence, Italy
[3] UREP INRA, Grassland Ecosyst Res Unit, French Natl Inst Agr Res, Clermont Ferrand, France
[4] CRA VIV, Consiglio Ric & Sperimentaz Agr, Pescia, PT, Italy
关键词
Gerbera; Greenhouse crops; Model; NaCl salinity; Penman-Monteith equation; Transpiration; PENMAN-MONTEITH MODEL; CLOSED-CYCLE; CONDUCTANCE; EVAPOTRANSPIRATION; CANOPY; IRRIGATION; CULTIVARS; CROP; VENTILATION; RADIATION;
D O I
10.1016/j.scienta.2013.03.023
中图分类号
S6 [园艺];
学科分类号
0902 ;
摘要
Gerbera plants were grown in semi-closed rockwool culture under greenhouse conditions in different seasons in a Mediterranean climate. The plants were irrigated using either fresh (FW; 1.0 mol m(-3) NaCl) or moderately saline (SW; 9.0 mol m(-3) NaCl) water. In autumn, NaCl concentration did not influence significantly plant growth, flower production and transpiration (E), which instead were reduced in spring in the plants irrigated with SW. In both seasons, water salinity did not affect leaf stomatal resistance (r(1)), which was determined by the inversion of the Penman-Monteith (PM) equation or measured with a diffusion porometer. The PM formula and two regression equations were calibrated and validated for estimating the hourly rate of daytime transpiration (E-d); a regression model was also fit to nocturnal transpiration (E-n). Regression models predicted E-d as a function of vapour pressure deficit (VPD) and/or the radiation intercepted by the canopy. Leaf area index (LAI), which is required by all the equations, was modelled as function of crop thermal time (i.e. growing degree days). The PM model predicted E-d using a constant value of r(1). Model calibration and validation were performed using independent datasets. The irrigation with FW or SW did not require a different calibration of transpiration models. Both PM formula and regression equations provided accurate estimates of E-d; fitted equations explained between 80% and 96% of the variance in measured E-d. A linear regression of E-n against (LAI-VPD) accounted for 92% of measured E-n. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:9 / 18
页数:10
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