ANALYSIS AND PREDICTION OF PRODUCTION CHARACTERISTICS AND PRICES OF HONEY PRODUCTION IN THE VOJVODINA REGION

The aim of the research is to establish the state of honey production based on the current production and economic characteristics in order to predict their tendency for the period 2023-2026. The analyzed data refer to the number of beehives, total production, and yields of honey for the period 2006-2021, which were provided by the Statistical Office of the Republic of Serbia. In order to analyze the characteristics of honey production and prices the method of descriptive statistical analysis was applied: arithmetic mean (ẋ), extreme values ​​(min and max), coefficient of variation (CV), and the annual rate of change (r). The analyzed data indicate that total honey production and the number of beehives increased at an average annual rate of 6.09% and 6.27%, respectively, while the yield has declined slightly at an average annual rate of 0.17%. The trend of increasing the number of beehives and total production, and decreasing yields will continue in the prediction period. The purchasing price of honey has a tendency to increase (r=4.97). In 2026, the price is projected to be 5533 euro/ton, which means that the expected price of honey will be higher than the average by 3184 euro/ton

Forecasting corn production indicators in the Republic of Srpska

The aim of this paper is to formulate quantitative models to predict future trends in corn production in the Republic of Srpska. The applied research methods are the descriptive analysis method, and the analytical statistical method, i.e. the Box-Jenkins Model based on the ARIMA model (Autoregressive Integrated Moving Average). The results of the research show that the corn production indicators, as the most important crop in the Republic of Srpska, will, despite the oscillations, show an increase in the last year of the five-year prediction period (2018-2022) compared to the previously analysed twenty-two year period (1996- 2017). The formulation of such forecasting models is a good basis for planning the overall crop production in the Republic of Srpska

VOJVODINA’S AGRICULTURE – ANALYSIS & POSSIBILITIES

The share of agricultural population in the total population of Vojvodina is below 11%. The agricultural population of Vojvodina accounts for 26% of agricultural population, i.e. 24% of the active agricultural population of Serbia. Per 1 inhabitant there is 0.88 ha of agricultural land or 0.78 ha plough land. Having in mind that the average farm size is about 3.59 ha of used arable land and that each farm has about 3 separate parcels, it could be concluded that Vojvodina has a very unfavourable property structure. Corn is the most dominant plant species in Vojvodina. It is grown on about 630,000 ha with average yield of 5.3 t/ha, and annual production of about 3.3 million tons. Vojvodina accounts for around 58% of corn production in Serbia. Wheat is produced averagely on 330,000 ha with average yield of about 3.7t/ha and annual production of around 1.2 million tons. Vojvodina accounts for over 56% of the total wheat production in Serbia. The gross domestic product in agriculture is larger than the gross domestic product in food industry, which means that a significant part of agricultural production is spent or exported in raw state, and not processed within own capacities. The share of Vojvodina in gross domestic product of food industry in Serbia (47.3%) is larger than its share in gross domestic product of agriculture of Serbia (39.6%), although the structure of agricultural production in other parts of Serbia is more intensive (vegetable growing, fruit growing and animal husbandry are more dominant). This is due to the fact that in Vojvodina there are more capacities for grain and industrial crop processing. The real capabilities of faster development of Vojvodina’s agriculture lie in the multi-functional development. This means that one part of the agricultural resources will be used in conventional manner by intensifying agricultural production to the limits of sustainable development, a part of the resources will be used for non-agricultural purposes (agro-eco tourism, hunting, fishing and sports tourism and catering, and other services and the production of renewable energy), while a part of resources will by used for organic and safe food

Analiza proizvodnih parametara ratarskih useva u Republici Srpskoj

Ratarska proizvodnja u Republici Srpskoj predstavlja osnovu na kojoj počiva celokupna poljoprivreda i agrobiznis a time predstavlja i neophodan izvor proizvoda za ljudsku isharanu, stočnu hranu i sirovina za industrijsku preradu. Sa udelom većim od polovine ukupnih poljoprivrednih površina oranice i bašte predstavljaju dominantan oblik korištenja zemljišta. Žitarica koja ostvaruje najveću prosečnu proizvodnju, površinu i prinos u posmatranom periodu od sedamnaest godina je kukuruz. Kod kukuruza je zabeležena i najveća tendencija porasta proizvodnje i prinosa od posmatranih žitnih useva. Dominantan usev sa obzirom na posmatrane proizvodne pokazatelje kod industrijskog bilja je soja. Detelina prednjači prema ostvarenoj prosečnoj proizvodnji i požnjevenim površinama kod izabranih useva krmnog bilja, dok je kukuruz za krmu ostvario najveću tendenciju porasta analiziranih proizvodnjih parametara

EXPLORATION OF FACTORS OF RURAL DEVELOPMENT IN CENTRAL SERBIA

The analysis of influence of social–economic factors is important in analysis of demographic development of population in Central Serbia. The development of each society is significantly implied with interaction of demographic and socialeconomic factors. In the paper the relevant indicators of demographic development of population in Central Serbia are explored. The combined data from population census and yearly published data related to communes and districts of Central Serbia were used. The estimated empirical regression models based on chosen variables ought to illustrate the reached level of demographic development in Central Serbia. The relations of following variables are analyzed: total number of inhabitants, number of active persons, number of agriculturists per 100 populations, rate of employment, national income, rates of natural increase, birth and mortality etc

Use of trellis graphics in the analysis of results from field experiments in agriculture

Trellis graphics (Becker, Cleveland, and Shyu, 1996) is a very effective method for visualizing multidimensional data sets. The basic idea behind trellis graphics is to display any of a large variety of 1-D, 2-D or 3-D statistical plot types in trellis layout of panels, where each panel displays a subset of the data for different values of one or more additional discrete or continuous conditioning variables. The data that we use for the illustration of different applications of trellis graphics are the results of a field experiment conducted at the Institute for Field and Vegetable Crops in Novi Sad in the period 1994-1998 (Čobanovič et al., 2001) with three fertilizers (nitrogen, phosphorus and potassium) in three repetitions with nine variants of wheat. In the experiment, four quantities of each fertilizer were applied (0, 50, 100, 150 kg/ha) at plots of the same size in 20 from 64 possible combinations, whereby the yield of wheat (t/ha) was the measured outcome

REGIONAL ASPECTS OF AGRICULTURAL INCOME LEVEL IN VOJVODINA PROVINCE IN FUNCTION OF BASIC PRODUCTION FACTORS

In the present research the analysis of the level of national income in agriculture was done for different districts and municipalities of the Province of Vojvodina. The analysis of the achieved level of national income in agriculture in function of the most important factors was performed on the base of classical form the traditional non-linear regression model of Cobb-Douglas production function with labour and capital as predictors and on the extended form of Cobb-Douglas function which in addition includes the arable areas

Effect of the edaphic factors and metal content in soil on the diversity of Trichoderma spp.

Influence of edaphic factors and metal content on diversity of Trichoderma species at 14 different soil sampling locations, on two depths, was examined. Forty-one Trichoderma isolates from 14 sampling sites were determined as nine species based on their internal transcribed spacer (ITS) sequences. Our results indicate that weakly alkaline soils are rich sources of Trichoderma strains. Also, higher contents of available K and P are connected with higher Trichoderma diversity. Increased metal content in soil was not inhibiting factor for Trichoderma species occurrence. Relationship between these factors was confirmed by locally weighted sequential smoothing (LOESS) nonparametric smoothing analysis. Trichoderma strain (Szeged Microbiology Collection (SZMC) 22669) from soil with concentrations of Cr and Ni above remediation values should be tested for its potential for bioremediation of these metals in polluted soils

Broomcorn [sorghum bicolor (l.) Mocnch]panicle yield as affected by environmental variables and agro-technological traits

The aim of this study was to access the overall effects of genotype, environment and genotype x environment interaction (GEI), as well as the importance of individual agro-technological traits in the broomcorn [Sorghum bicolor (L.) Moench] panicle yield formation. The performances of 11 broomcorn cultivars grown in eight different seasons are discussed in this paper. The restricted maximum likelihood (REML) variance component estimates model revealed that panicle yield was for the most part dependent on GEI (47.5%), which allowed identification of best genotypes for specific environments. The partial least squares regression (PLSR) model revealed that the most important climatic variables for optimal yield are precipitation in vegetation period and maximum air temperature in vegetation, followed by difference between maximum and minimum temperature in vegetation, growing degree days and sum of precipitation. Generally, lower temperature and higher precipitation parameters had beneficial effect on yield. Considering the individual agro-technological traits, the most important for panicle yield were weight of threshed and unthreshed panicle, as well as grain weight per panicle. As directly related to yield; length of the panicle, fibre length and number of fibres per panicle were also important. The best yield (Sava, 11.75 t ha(-1) ) and stability (Jumak, Prima) performances were recorded for locally adapted cultivars. The knowledge obtained in this study is valuable for the identification and understanding of key environmental and agro-technological factors that contribute to the yield of broomcorn panicle