Author/Authors :
kostić, marko university of novi sad - faculty of agriculture, Novi Sad, SERBIA , ljubičić, nataša university of novi sad - biosense institute, Novi Sad, SERBIA , ivošević, bojana university of novi sad - biosense institute, Novi Sad, SERBIA , popović, srđa independent university of banja luka - faculty of economics, Banja Luka, BOSNIA AND HERZEGOVINA , radulović, mirjana university of novi sad - biosense institute, Novi Sad, SERBIA , blagojević, dragana university of novi sad - biosense institute, Novi Sad, SERBIA , popović, vera institute for field and vegetable crops, Novi Sad, SERBIA
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.
Keywords :
geostatistics , NDVI , soil apparent electrical conductivity , wheat , yield prediction
