The study, conducted to evaluate the effects of long-term straw management combined with the application of increasing nitrogen rates on the yield of twenty winter wheat varieties, as well as on soil properties, was carried out in a long-term field trial established in 1971. The trial was monitored for twenty growing seasons under rainfed conditions in a typical chernozem zone of the southern part of the Pannonian Plain. The cropping system was a winter wheat-maize-soybean rotation. The ten SN-treatments (combinations of straw management (S) and N-fertilization) were as follows: In the plot (treatment) with straw return (S1), seven variants of nitrogen fertilization (0–180 kg N ha−1) were included, while on the plot without straw return (S0) the variants of N-fertilization were 0, 90 and 150 kg N ha−l. Based on the high relative share in the total sum of squares, variance analysis showed that wheat grain yield (GY) was significantly affected by years, SN-treatments, and their interaction, and they can explain the largest part of the total variance of GY. The results showed that straw return integrated with N fertilization could increase wheat yield to varying degrees over 20 years. On average, for all years, the highest GYs were obtained in the treatment S1 and fertilization with 180 and 150 kg N ha−1. The overall results showed that long-term straw returning significantly increased GY by an average of 8.4 ± 4.5%, with a considerable simultaneous increase in yield stability compared to straw removal. In addition, straw incorporation (SI) significantly increased soil humus, total nitrogen (TN), and soil organic carbon (SOC) contents at a soil depth of 0–30 cm by an average of 4.2, 3.8, and 11.3%, respectively. The results of our study have demonstrated that the long-term practice of straw return, in combination with the application of mineral fertilizers, has the potential to serve as a sustainable soil management strategy that is economically viable and environmentally acceptable. However, additional research is required to investigate its interactive effects on both grain yield and soil productivity.

Harvest residues of field crops are important for matter cycling in the agroecosystem, especially when organic fertilizers are not applied in adequate amounts. The aim of this study was to assess the influence of increasing nitrogen doses and harvest residues (HR) on corn yield. The international stationary field trial (ISDV) has been established on a calcareous chernozem soil, at Rimski Šančevi, on Institute of Field and Vegetable Crops, Novi Sad. This paper review two-year average yields on corn hybrid NS 3022. The trial had six treatments, three with HR (0, 100, 200 kg N ha-1) and three without HR (0, 100, 200 kg N ha-1). The experiment was set up in three-crop rotation (corn, soybean, wheat). The average yield with and without HR treatments was 7.22 t ha-1. The average yield obtained on treatments with HR was 7.64 t ha-1 , which was higher by 0.85 t ha-1 (12.52%) than the average yield on treatments without HR (6.79 t ha-1). The highest yield on treatments with HR was achieved with 100 kg N ha-1 a (8.44 t ha-1) while the highest yield on treatments without HR was obtained with 200 kg N ha-1 (8.56 t ha-1). On average, HR increased the yield of corn grain in the control treatment by 1.18 t ha-1. To achieve good yields of corn grain, optimal nitrogen doses on treatments with HR should range from 100 kg N ha-1 to 200 kg N ha-1 , while on treatments without HR optimal doses of nitrogen should be closer to 200 kg N ha-1 .

In recent years, GI cheese consumption has attracted increasing interest among consumers, due to its beneficial properties for local economies and the surrounding environment. Given the high importance that consumers ascribe to geographical indications, considered one of the most relevant attributes for agro-food consumers, this study aims at detecting the main variables that influence purchasing intention for GI cheese. A total of 806 consumers took part in the study from all four regions of the Republic of Serbia. For this purpose, a binary logistic regression model analysis was performed. The research highlights that tradition and origin, education, and higher knowledge only had a significant effect on consumer attitudes toward GI cheeses.

In this study, we aimed to evaluate the feasibility of digital image analysis (DIA) as a substitute for standard analysis (SA) in assessing corn ear traits in agrotechnical field trials. Accurate and timely prediction of corn yield through corn ear traits can lead to precise agricultural management recommendations for the improvement of production. Four replications with 10 plots each were subjected to different fertilization regimes and analyzed using DIA and SA to determine the kernel number per ear (KN), ear length (EL), and ear diameter (ED). For both methods, the results showed that only nitrogen doses had a significant effect on the examined corn ear traits, and the correlation matrix revealed a strong and significant relationship between yield and corn ear traits. The post-hoc test showed no discrepancy in cases between the two methods for KN and EL, with a 6.7% discrepancy for ED. For both methods, a linear plateau was the best fit for KN and EL with increasing nitrogen doses, whereas a quadratic plateau was the best fit for ED. The regression equations for both methods provided similar recommendations regarding nitrogen requirements. The findings suggest that DIA can be used as a substitute for SA of corn ear traits obtained from different fertilization variants and can provide nitrogen fertilization recommendations for optimal corn yields.