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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/35670
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Title: | Long-term evaluation of the Grassmaster II probe used to estimate productivity of dryland pastures |
Authors: | Serrano, João Shahidian, Shakib Marques da Silva, José |
Editors: | Stafford, John |
Keywords: | capacitance probe pasture productivity dryland pastures prediction models |
Issue Date: | 2-Jul-2023 |
Publisher: | Wageningen Academic Publishers |
Citation: | Serrano, J., Shahidian, S., Marques da Silva, J. Long-term evaluation of the Grassmaster II probe used to estimate productivity of dryland pastures. In: “Precision Agriculture ‘23”, 14th European Conference on Precision Agriculture (ECPA 2023), Bolonha, Itália (2-6 Julho de 2023); John Stafford (Ed.); DOI: 10.3920/978-90-8686-947-3, Wageningen Academic Publishers, p. 197-204. |
Abstract: | The estimation of pasture productivity is a tool of great interest for the management of
animal grazing. The standard method of assessing pasture mass requires great effort and
expense to collect enough samples to accurately represent a pasture. This work presents
the results of a long-term study to calibrate a Grassmaster II capacitance probe to
estimate pasture productivity in two phases: (i) the calibration phase (2007-2018) which
included measurements in 1411 sampling points in three parcels; and (ii) the validation
phase (February and March 2019) which included measurements in 48 sampling points
in four parcels. A regression analysis was performed between the capacitance (CMR)
measured by the probe and values of pasture green matter and dry matter (respectively,
GM and DM, in kg ha-1
). The results showed significant correlations between GM and
CMR and between DM and CMR, especially in the early stages of pasture growth cycle.
The analysis of the data grouped by classes of pasture moisture content (PMC) shows
higher correlation coefficients for PMC content > 80% (r = 0.775; p <0.01; RMSE =
4806 kg ha-1
and CVRMSE=28.1% for GM; r = 0.750; p <0.01; RMSE = 763 kg ha-1
and
CVRMSE=29.7% for DM), with a clear tendency for the accuracy to decrease when the
pasture vegetative cycle advances and, consequently, the PMC decreases. The
validation of calibration equations when PMC > 80% showed a good approximation
between GM or DM measured and GM or DM predicted (r=0.908; p<0.01; RMSE =
4293 kg ha-1
; CVRMSE=24.4% for GM; r = 0.904; p <0.01; RMSE = 590 kg ha-1
and
CVRMSE=20.4% for DM). It can be concluded that (i) the capacitance probe is an
expedient tool that can enable the farm manager to estimate pasture productivity with
acceptable accuracy and support the decision-making process in the management of
dryland pastures; (ii) the more favorable period for the use of this probe in dryland
pastures in a Mediterranean climate, such as the Portuguese Alentejo coincides with the
end of winter and beginning of spring (February-March), corresponding to PMC > 80%. |
URI: | http://hdl.handle.net/10174/35670 |
Type: | article |
Appears in Collections: | ERU - Artigos em Livros de Actas/Proceedings MED - Artigos em Livros de Actas/Proceedings
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