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Advisor(s)
Abstract(s)
We present an application in which the time sequence of the differences
between the estimated values of soil water content (SWC or θ) and the
measured ones, in this case by the most direct method of gravimetry, provided
an opportunity to exemplify the possibility of adjusting a selected parameter
used for actual evapotranspiration (ETa) estimation. The variable selected for
adjustment was the crop coefficient (Kc), for which one finds a higher
uncertainty. This is a simple self-learning process, in the sense that the
investment, in obtaining correct soil parameters and soil water data of good
quality, creates an opportunity to get well-adjusted parameters for better ETa
estimation that, used in the following, allows a better irrigation scheduling. The
stress coefficients were also estimated. The crop used is pepper (Capsicum
annuum L.), planted in a field located in center-east Portugal, in a clay loam
soil, drip irrigated, using different spacing arrangements (simple and double
line) and occasional stress periods in some of the four experimental plots. The
values of Kc resulting from this kind of iterative process were quite different
from the initial ones, and relatively well related with leaf area index measured
in the four plots.
Description
Keywords
water balance crop evapotranspiration irrigation scheduling crop coefficient leaf area index self-learning pepper south Europe
Pedagogical Context
Citation
Carrilho, V., Rolim, J., Ferreira, M.I. (2024) Hydrological approaches to measure or estimate crop water use – B. Practical application. Anais do Instituto Superior de Agronomia, Vol. 50, p. 47-69