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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Author(s)
Antônio Heriberto de Castro Teixeira, Fernando Braz Tangerino Hernandez, Ricardo Guimarães Andrade, Janice Freitas Leivas, Daniel de Castro Victoria and Edson Luis Bolfe
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DOI:10.17265/2332-8215/2015.01.001
Affiliation(s)
ABSTRACT
Landsat satellite images
and agrometeorological data were used together for modelling the crop
coefficient (Kc) in irrigation pivots composed by a mixture of corn
hybrids from a commercial farm for grains and silage, located at the
northwestern side of São Paulo state, Brazil. After developing relationships
between Kc and the accumulated degree-days (DDac) and
having yield data for 2012 available, they were applied in the whole state, to
upscale the crop water variables, during the GS (growing seasons) of a
second-harvest crop from March to August. Spatial thermohydrological differences among the main corn growing regions were
clear. The largest CWP (crop water productivity) values and SD (standard
deviations) were for Itapetininga with an average value of 1.60 ± 0.43 kg m-3,
while the lowest ones were for Presidente Prudente
(0.81 ± 0.21 kg m-3). As corn is important for these growing regions,
being inside of the priorities from the Brazilian Ministry of Agriculture,
these results should be considered for a rational exploration, including both, irrigation and rainfed conditions, as the actual water scarcity can bring much
competition with other non-agricultural sectors.
KEYWORDS
Crop coefficient, degree-days, WI (water indicator), crop water productivity
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