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      USE OF ACTIVE OPTICAL SENSOR IN THE CHARACTERISTICS ANALYSIS OF THE FERTIGATED BRACHIARIA WITH TREATED SEWAGE

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          Abstract

          ABSTRACT Through the use of remote sensing, the productivity and the nutritional state of the plants can be estimated in relation to the nitrogen doses due to the modification of the canopy reflectance. In this study, values of the normalized difference vegetation index (NDVI) obtained by a terrestrial optical sensor were correlated with productivity and contents of nitrogen (N) and of foliar crude protein (CP) of Brachiaria brizantha cv. Marandu, fertigated with doses of sewage treatment effluent (STE) The NDVI average rates of the forage were obtained by the active terrestrial sensor (GreenSeeker) before the harvests that were realized every 28 days in 2014. Five fertigated treatments with the following fractions of STE in water were evaluated: E5 = 1.0; E4 = 0.87; E3 = 0.60; E2 = 0.31; and E1 = 0.11. During the 12 months of experiment, the treatment E5 received 1,132 kg ha-1 of N and the others received quantities proportional according to the application fractions defined in each treatment. The increasing application doses of STE resulted in higher yields of dry biomass and better leaf qualities in N and crude protein (CP). The productivity, the foliar N content and the NDVI index were increasing due to the gradual application of applied STE. There was a high linear correlation among the NDVI indexes and the productivity (r>0.9256) and with the N content (r>0.9570) and also for CP (r>0.8421) and leaf N (r>0.8339), demonstrating that the method can be used to estimate forage productivity and quality.

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          Most cited references18

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          Sistema brasileiro de classificação de solos

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Journal
                eagri
                Engenharia Agrícola
                Eng. Agríc.
                Associação Brasileira de Engenharia Agrícola (Jaboticabal, SP, Brazil )
                0100-6916
                1809-4430
                December 2017
                : 37
                : 6
                : 1213-1221
                Affiliations
                [2] Jaboticabal orgnameUniversidade Estadual Paulista Brazil
                [1] Rio Verde Goiás orgnameUniversidade de Rio Verde Brazil
                Article
                S0100-69162017000601213
                10.1590/1809-4430-eng.agric.v37n6p1213-1221/2017
                b3a4b889-da95-4c79-9068-35bb31c534a0

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 06 September 2017
                : 08 September 2015
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 19, Pages: 9
                Product

                SciELO Brazil


                GreenSeeker,forage production estimation,terrestrial remote sensing

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