4 research outputs found

    The effect of nitrogen fertilizer rates on green biomass and dry matter yield of Sorghum sp. at different growth stages

    Get PDF
    The paper investigated the production properties of three sorghum genotypes: NS-Džin (forage sorghum), Zora (Sudan grass) and Siloking (interspecies hybrid) in terms of different nitrogen rates used in side dressing in 2009 and 2010. The subject of study was green biomass and dry matter yield in the stages of intensive growth and tasseling. The results have shown that there have been significant fluctuations in production indicators between the genotypes. In the total average, the lowest yield was recorded for the Sudan grass (85.41 t ha-1). Significantly higher yields were recorded for the interspecies hybrid (90.22 t ha-1) and the forage sorghum (93.51 t ha-1). Although the effect of nitrogen rates depended on weather conditions, i.e. rainfall distribution, the optimal nitrogen rate in both years was 180 kg ha-1

    Influence of inter-row spacing and cultivar on the productivity of soybean

    No full text
    Influence of inter-row spacing on a productivity of soybean yield was studied on the experimental field on low carbonate chernozem soil. The greatest grain weight per plant (13.22 g) was achieved at the smallest row spacing. It decreased at higher row spacing, except for cultivar Balkan, where value of these parameters was the highest (13.09 g). The highest grain yield (4,868 kg ha-1) was determined at the 20 cm inter-row width. It decreased equally at bigger row spacing for 7.0-12.9%. The highest grain yield was achieved with Balkan cultivar (4,773 kg ha-1), and the lowest with Dragana cultivar (4,284 kg ha-1)

    Influence of nickel in soil

    No full text
    The objective of this investigation has been to study consequences of soil pollution with nickel in five locations in the municipalities of Sremska Kamenica, Ledinci and Beocin. The analysis of soil samples collected in the five locations has shown that the percentage of nickel differed from location to location. Nickel contamination was registered in 60% of the analyzed sites. A possible nickel polluter in this area is the cement factory in Beocin (CFB). The intensity of nickel contamination of soil decreased progressively with the distance of the sampling sites from the cement factory in Beocin

    GENOTYPE × YEAR INTERACTION ON RYE PRODUCTIVITY PARAMETERS CULTIVATED ON SANDY CHERNOZEM SOIL

    Get PDF
    Rye is a dual-purpose crop, for nutrition but also for bioenergy. The selection of rye is aimed at its improvement as a plant for human and animal consumption, but also it is interesting for bioenergy production as it combines high biomass production with low environmental impact. There is a growing demand for sustainable sources of biomass worldwide. Directions for achieving rye selection for energy purposes include selection to increase biomass yield and corresponding physiological properties. During three years (2019-2021), four rye genotypes were examined. The aim of this study was to examine the influence of genotype (G), year (Y) and their interaction (G×Y) on rye productivity parameters: plant height (PH), spike length (SL), 1000-grain weight (TGW), hectoliter mass (HM), green biomass yield (GBY), biogas yield (BGY) as well as the possibility of using rye as an alternative fuel. Rye is an excellent raw material for the production of healthy food, but also for the production of biofuels. The study discussed the potential use of four high yielding genotypes for biofuel production. Genotype G1 (25.29 t ha-1) had a statistically significantly higher average green biomass yield compared to genotypes G2, G3 and G4 (22.98 t ha-1, 23.56 t ha-1 and 23.76 t ha-1). Significant G×Y interactions demonstrate differences between rye genotypes in response to environmental conditions. Plant height was directly proportional to biomass yield. As one of the targets in breeding programs, to develop taller cultivars as biofuel feedstock. Screening and selection of appropriate rye varieties for each region is critical for optimum results. © 2022, Genetika. All Rights Reserved
    corecore