Year 2021, Volume 67 Issue 1 (31.03.2021)

Year : 2021
Volume : 67
Issue : 1 (31.03.2021)
   
Authors : Marko KOSTIĆ, Nataša LJUBIČIĆ, Bojana IVOŠEVIĆ, Srđa POPOVIĆMirjana RADULOVIĆ, Dragana BLAGOJEVIĆ, Vera POPOVIĆ
Title : SPOT-BASED PROXIMAL SENSING FOR FIELD-SCALE ASSESSMENT OF WINTER WHEAT YIELD AND ECONOMICAL PRODUCTION
Abstract : The study was conducted on a test field with an area of 255 ha including four winter wheat varieties (Basmati, Farinelli, Balaton, and NS40S). The objective of this research was to evaluate the suitability of NDVI and soil ECa data in the modeling of selected winter wheat properties. The results in this paper are based on observations of a plant canopy at 40 locations using an NDVI sensor measured at four stages (BBCH65, BBCH75, BBCH83, and BBCH89), as well as soil electromagnetic conductivity using an EC probe before analysis had commenced. The strongest relation between yield components and NDVIs was observed in the milk growth stage (R ranged from 0.30 to 0.67). Poor correlation was determined between soil ECa and wheat traits. Ordinary least squares regression gave models where average NDVI and soil ECa described 75% variation in plant height of the Balaton variety; 74% of Farinelli plant height changes were characterized by NDVIBBCH65 and EC; 73% of Basmati yield was explained by NDVIBBCH75 and EC. Sufficient rainfall during the growing season, high fertility of the soil and appropriate temperature regime lowered the influence of spatial heterogeneity on final crop outcomes due to optimal water and nutrition uptake.
For citation : Kostić, M., Ljubičić, N., Ivošević, B., Popović, S., Radulović, M., Blagojević, D., Popović, V. (2020): Spot-based proximal sensing for field-scale assessment of winter wheat yield and economical production. Agriculture and Forestry, 67 (1): 103-113
Keywords : geostatistics, NDVI, soil apparent electrical conductivity, wheat, yield prediction.
   
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