Long-term evaluation of the Grassmaster II probe used to estimate productivity of dryland pastures

dc.contributor.authorSerrano, João
dc.contributor.authorShahidian, Shakib
dc.contributor.authorMarques da Silva, José
dc.contributor.editorStafford, John
dc.date.accessioned2023-11-22T09:50:01Z
dc.date.available2023-11-22T09:50:01Z
dc.date.issued2023-07-02
dc.description.abstractThe 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%.por
dc.identifier.authoremailjmrs@uevora.pt
dc.identifier.authoremailnd
dc.identifier.authoremailjmsilva@uevora.pt
dc.identifier.citationSerrano, 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.por
dc.identifier.doi10.3920/978-90-8686-947-3por
dc.identifier.scientificarea580por
dc.identifier.sharewithERUpor
dc.identifier.urihttp://hdl.handle.net/10174/35670
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherWageningen Academic Publisherspor
dc.rightsrestrictedAccesspor
dc.subjectcapacitance probepor
dc.subjectpasture productivitypor
dc.subjectdryland pasturespor
dc.subjectprediction modelspor
dc.titleLong-term evaluation of the Grassmaster II probe used to estimate productivity of dryland pasturespor
dc.typearticlepor
degois.publication.firstPage197por
degois.publication.issue1por
degois.publication.lastPage204por
degois.publication.locationBolognapor
degois.publication.titlePrecision Agriculture '23por
degois.publication.volume1por

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