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RESEARCH PRODUCT
Analysis of Biophysical Variables in an Onion Crop (Allium cepa L.) with Nitrogen Fertilization by Sentinel-2 Observations
Alejandra CasellaLuciano OrdenNéstor A. PezzolaCarolina BellaccomoCristina I. WinschelGabriel R. CaballeroJesús DelegidoLuis Manuel Navas GraciaJochem Verrelstsubject
NitrogenNitrógenoLeaf Area IndexPrecision AgricultureIndice de Superfície FoliarIndice de VegetaciónCebollaRemote SensingAgricultura de PrecisiónOnionsSentinel - 2Teledetecciónvegetation index; LAI; nitrogen; remote sensing; Sentinel-2; precision farmingCentinela -2Agronomy and Crop ScienceVegetation Indexdescription
The production of onions bulbs (Allium cepa L.) requires a high amount of nitrogen. Ac cording to the demand of sustainable agriculture, the information-development and communication technologies allow for improving the efficiency of nitrogen fertilization. In the south of the province of Buenos Aires, Argentina, between 8000 and 10,000 hectares per year−1 are cultivated in the districts of Villarino and Patagones. This work aimed to analyze the relationship of biophysical variables: leaf area index (LAI), canopy chlorophyll content (CCC), and canopy cover factor (fCOVER), with the nitrogen fertilization of an intermediate cycle onion crop and its effects on yield. A field trial study with different doses of granulated urea and granulated urea was carried out, where biophysical char acteristics were evaluated in the field and in Sentinel-2 satellite observations. Field data correlated well with satellite data, with an R2 of 0.91, 0.96, and 0.85 for LAI, fCOVER, and CCC, respectively. The application of nitrogen in all its doses produced significantly higher yields than the control. The LAI and CCC variables had a positive correlation with yield in the months of November and December. A significant difference was observed between U250 (62 Mg ha−1) and the other treatments. The U500 dose led to a yield increase of 27% compared to U250, while the difference between U750 and U500 was 6%. Fil: Casella, Alejandra. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Orden, Luciano. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Hilario Ascasubi; Argentina. Universidad Miguel Hernández. Centro de Investigación e Innovación Agroalimentaria y Agroambiental. GIAAMA Reseach Group; España Fil: Pezzola, Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Hilario Ascasubi; Argentina Fil: Bellaccomo, Maria Carolina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Hilario Ascasubi; Argentina Fil: Winschel, Cristina Ines. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Hilario Ascasubi; Argentina Fil: Caballero, Gabriel. Technological University of Uruguay. Departamento de Montevideo, Uruguay Fil: Delegido, Jesús. Universidad de Valencia. Image Processing Laboratory (IPL); España Fil: Navas Gracia, Luis Manuel. Universidad de Valladolid. Departamento de Ingenieria Agrícola y Forestal; España Fil: Verrelst, Jochem. Universidad de Valencia. Image Processing Laboratory (IPL); España
year | journal | country | edition | language |
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2022-08-11 | Agronomy; Volume 12; Issue 8; Pages: 1884 |