The soil water balance in a gragiaqualf and its effect on pasture growth in central New Zealand

Soil Research ◽  
1979 ◽  
Vol 17 (3) ◽  
pp. 455 ◽  
Author(s):  
DR Scotter ◽  
BE Clothier ◽  
MA Turner
Keyword(s):  
Water Balance ◽  
Soil Water ◽  
Growth Rates ◽  
Soil Water Balance ◽  
Balance Model ◽  
Irrigation Season ◽  
Water Deficits ◽  
Class A ◽  
Neutron Moisture ◽  
Priestley And Taylor Method

A water balance model for pasture is described, which takes into account the effect of soil water deficits on evapotranspiration. Data from small lysimeters were used to evaluate methods for the estimation of weather-controlled evapotranspiration from well-watered pasture. The relatively simple Priestley and Taylor method was found to be as accurate as the Penman method or the use of Class A pan data. Three years of computed water balance data were found to agree within 40 mm with the soil water deficits measured with a neutron moisture probe. The computed soil water balance was used to assess whether growth would occur on a given day, and to predict unirrigated pasture growth rates for the period December-April of each irrigation season. Predicted and measured pasture growth rates were in reasonable agreement, with the December-April growth rate on unirrigated pasture averaging only half that for irrigated pasture over the four years of the study.

scholarly journals A Coupled Soil Water Balance Model for Simulating Depression-Focused Groundwater Recharge

2018 ◽  
Vol 17 (1) ◽  
pp. 170176 ◽  
Author(s):  
Saskia L. Noorduijn ◽  
Masaki Hayashi ◽  
Getachew A. Mohammed ◽  
Aaron A. Mohammed
Keyword(s):  
Water Balance ◽  
Groundwater Recharge ◽  
Soil Water ◽  
Water Balance Model ◽  
Soil Water Balance ◽  
Balance Model

scholarly journals High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance Model

2018 ◽  
Vol 10 (11) ◽  
pp. 1682 ◽  
Author(s):  
Kelly Thorp ◽  
Alison Thompson ◽  
Sara Harders ◽  
Andrew French ◽  
Richard Ward
Keyword(s):  
Water Balance ◽  
Water Use Efficiency ◽  
Soil Water ◽  
Water Use ◽  
High Throughput ◽  
Soil Water Balance ◽  
Balance Model ◽  
Crop Water ◽  
Crop Water Use ◽  
Use Efficiency

Improvement of crop water use efficiency (CWUE), defined as crop yield per volume of water used, is an important goal for both crop management and breeding. While many technologies have been developed for measuring crop water use in crop management studies, rarely have these techniques been applied at the scale of breeding plots. The objective was to develop a high-throughput methodology for quantifying water use in a cotton breeding trial at Maricopa, AZ, USA in 2016 and 2017, using evapotranspiration (ET) measurements from a co-located irrigation management trial to evaluate the approach. Approximately weekly overflights with an unmanned aerial system provided multispectral imagery from which plot-level fractional vegetation cover ( f c ) was computed. The f c data were used to drive a daily ET-based soil water balance model for seasonal crop water use quantification. A mixed model statistical analysis demonstrated that differences in ET and CWUE could be discriminated among eight cotton varieties ( p < 0 . 05 ), which were sown at two planting dates and managed with four irrigation levels. The results permitted breeders to identify cotton varieties with more favorable water use characteristics and higher CWUE, indicating that the methodology could become a useful tool for breeding selection.

Simulation of yield decline as a result of water stress with a robust soil water balance model

2006 ◽  
Vol 81 (3) ◽  
pp. 335-357 ◽  
Author(s):  
Dirk Raes ◽  
Sam Geerts ◽  
Emmanuel Kipkorir ◽  
Joost Wellens ◽  
Ali Sahli
Keyword(s):  
Water Stress ◽  
Water Balance ◽  
Soil Water ◽  
Water Balance Model ◽  
Soil Water Balance ◽  
Balance Model ◽  
Yield Decline

scholarly journals Estimation of actual evapotranspiration of Mediterranean perennial crops by means of remote-sensing based surface energy balance models

2009 ◽  
Vol 13 (7) ◽  
pp. 1061-1074 ◽  
Author(s):  
M. Minacapilli ◽  
C. Agnese ◽  
F. Blanda ◽  
C. Cammalleri ◽  
G. Ciraolo ◽  
...  
Keyword(s):  
Energy Balance ◽  
Surface Energy ◽  
Water Balance ◽  
Soil Water ◽  
Surface Energy Balance ◽  
Soil Water Balance ◽  
Actual Evapotranspiration ◽  
Balance Model ◽  
Spatially Distributed ◽  
Energy Balance Models

Abstract. Actual evapotranspiration from typical Mediterranean crops has been assessed in a Sicilian study area by using surface energy balance (SEB) and soil-water balance models. Both modelling approaches use remotely sensed data to estimate evapotranspiration fluxes in a spatially distributed way. The first approach exploits visible (VIS), near-infrared (NIR) and thermal (TIR) observations to solve the surface energy balance equation whereas the soil-water balance model uses only VIS-NIR data to detect the spatial variability of crop parameters. Considering that the study area is characterized by typical spatially sparse Mediterranean vegetation, i.e. olive, citrus and vineyards, alternating bare soil and canopy, we focused the attention on the main conceptual differences between one-source and two-sources energy balance models. Two different models have been tested: the widely used one-source SEBAL model, where soil and vegetation are considered as the sole source (mostly appropriate in the case of uniform vegetation coverage) and the two-sources TSEB model, where soil and vegetation components of the surface energy balance are treated separately. Actual evapotranspiration estimates by means of the two surface energy balance models have been compared vs. the outputs of the agro-hydrological SWAP model, which was applied in a spatially distributed way to simulate one-dimensional water flow in the soil-plant-atmosphere continuum. Remote sensing data in the VIS and NIR spectral ranges have been used to infer spatially distributed vegetation parameters needed to set up the upper boundary condition of SWAP. Actual evapotranspiration values obtained from the application of the soil water balance model SWAP have been considered as the reference to be used for energy balance models accuracy assessment. Airborne hyperspectral data acquired during a NERC (Natural Environment Research Council, UK) campaign in 2005 have been used. The results of this investigation seem to prove a slightly better agreement between SWAP and TSEB for some fields of the study area. Further investigations are programmed in order to confirm these indications.

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