Abstract
MEASURED lysimeter evapotranspiration of Alta fescue grass (a cool season grass) is taken as an index of reference crop evapotranspiration (ETo). An equation is presented that estimates ETo from measured values of daily or mean values of maximum and minimum temperature. This equation is compared with various other methods for estimating ETo. The equation was developed using eight years of daily lysimeter data from Davis, California and used to estimate values of ETo for other locations. Comparisons with other methods with measured cool season grass evapotranspiration at Aspendale, Australia; Lompoc, California; and Seabrook, New Jersey; with lysimeter data from Damin, Haiti; and with the modified Penman for various locations in Bangladesh indicated that the method usually does not require local calibration and that the estimated values are probably as reliable and useable as those from the other estimating methods used for comparison. Considering the scarcity of complete and reliable climatic data for estimating crop water requirements in developing countries, this proposed method can do much to improve irrigation planning design and scheduling in the developing countries.
Keywords
Related Publications
Crop evapotranspiration : guidelines for computing crop water requirements
(First edition: 1998, this reprint: 2004). This publication presents an updated procedure for calculating reference and crop evapotranspiration from meteorological data and crop...
The Prediction of Evaporation, Drainage, and Soil Water Storage for a Bare Soil
Abstract Evaporation, drainage, and changes in storage for a bare Plainfield sand were measured with a lysimeter during June, July, and August 1967, under natural rainfall condi...
Model for predicting evaporation from a row crop with incomplete cover
A model is presented for calculating the daily evaporation rate from a crop surface. It applies to a row crop canopy situation in which the soil water supply to the plant roots ...
A Proposal for Estimation of Soil Leaching and Leaching Constants for Use in Assessment Models
Abstract A model to predict annual‐average, order‐of‐magnitude leaching constants for solutes in agricultural soils is given. The leaching constants, specific by geographic loca...
Simulation of Supplemental Irrigation from On‐Farm Ponds
Several researchers have shown that on‐farm runoff collection and supplemental irrigation systems can increase and stabilize crop production in many regions of the world. The ob...
Publication Info
- Year
- 1985
- Type
- article
- Volume
- 1
- Issue
- 2
- Pages
- 96-99
- Citations
- 4358
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.13031/2013.26773