The plant biostimulants (PBs) are a wide range of microbial and/or organic compounds applied to crops to improve the physiological processes such as nutrition efficiency, plant development and abiotic stress tolerance. Imazamox is a herbicide characterised with a wide spectrum of weed control, low application rates and low mammalian toxicity, but also with a high soil persistence. Therefore, the residual amounts of imazamox may negatively affect subsequent sensitive crops in the crop rotation. In the current study we investigated the effect of a single and combined treatment with imazamox and a plant biostimulant (protein hydrolisate) on the antioxidative defense system and the detoxification metabolism of wheat young plants. The result showed that the seed imbibition with 10 μM imazamox inhibits the growth of the young wheat plants. A slight improvement was found due to the additional treatment with protein hydrolysate of the wheat plants damaged by imazamox herbicide. According to the results, this improving effect on the growth does not ameliorate the plant detoxification metabolism such as glutathione S-transferases or antioxidative defense. However, the improving effect is low and insufficient to restore the plant growth and functioning and its effects on wheat production are not studied yet.

The study was conducted in the period 2015-2017 in the experimental field of IRGR "K. Malkov” Sadovo. The elements of productivity of 24 varieties and lines of triticale (X. Triticosecale Wittmacks) were studied. The degree of variation of each of the indicators of productivity is determined by calculating a coefficient of variation. The results obtained show that the most variable indicator is the weight of grains in the central spike whereas the slightest variation is observed in the parameters of test weight and 1000 grains weight. Hierarchical cluster analysis and analysis of the main components (PC-analysis) are applied to assess the genetic similarity and distance between the different varieties. As a result of the clustering the studied samples were divided into six groups. The varieties Trit 32/6 and KS 60 are characterized with the greatest genetic proximity, followed by line BGR 30071 with the Bulgarian variety Rozhen. The largest genetic difference was reported between line BGR 30816 and variety KT 81. The applied analysis of the main components shows that the components PC 1, PC 2 and PC 3 explain 70.6% of the total variation of all traits by genotypes. The largest numbers of samples (9) belong to component 3, as four of them are located in the negative values of PC 3, and the other five genotypes are in the positive values of PC 3. Component 1 is represented by eight samples, and component 2 includes seven triticale genotypes.

Information concerning poultry farming (chickens, ducks, geese and guinea fowls) is the object of study in the current paper. It has been extracted from the website of the Food and Agriculture Organization of the United Nations. The obtained data about the four Balkan countries (Bulgaria, Greece, Romania and Albania) have been saved in a separate Excel file. Subsequently, they have been processed and evaluated. The surveyed period includes 58-year time interval from 1961 to 2018. The article presents the dependencies in the development of poultry farming in the listed countries for the indicated period. A comparative analysis and an analysis of variance have been applied to the considered data. The examined information has also been summarized and presented mainly in graphical form. The results of the analysis showed the relevant time intervals in which a continuous growth, as well as a significant decline of the studied indicators (number of chickens, number of ducks, number of geese and guinea fowls) was established for each of these four Balkan countries. The statistical assessment of the number of chickens in the examined countries formed three groups with statistically significant differences. Data for Albania were excluded from the evaluation of the other two indicators because the provided information about them was for the period from 1994 to 2011.

The global climate models predict changed precipitation patterns with frequent episodes of drought. Scarcity of water is a severe environmental constraint to plant productivity. Plants display a variety of physiological and biochemical responses at cellular and whole-organism levels towards prevailing drought stress. This study included container experiments with three flower crops aster (Callistephus chinensis), helichrysum (Helichrysum bracteatum) and echinacea (Echinaceae purpurea). Drought was simulated by reducing the number of watering’s to field capacity from 25–30 to 85–90 %. Three levels of watering were studied - three times, twice and once a week. The results showed that the cultivation of ornamental plants in containers under reduced watering conditions (twice or once a week) for a period of 3 months led to considerable inhibition of growth and even to plants death. The relative water content and the level of electrolyte leakage vary depending on the weekly number of waterings. The highest values of electrolyte leakage were reported in a single watering for aster -5107.1µS / g, for helichrysum -8314.9 µS / g and for echinacea -3722.8 µS / g. The high rates of conductivity, especially with one-time weekly watering, are evidence of the damage caused by the simulated water stress. This corresponds to the reported low percentages of RWC % and the low values for the height and diameter of the plants. The relative water content in plant tissues decreases depending on the irrigation regime. The lowest values for aster, helichrysum and echinacea were again observed in the variant with a single weekly watering, respectively 15%, 11.5% and 15.8%.

Modern robots perform a number of comprehensive tasks. In the agricultural sector, they are able to work on large areas with a wide range of crops with different agronomic requirements. They are highly maneuverable, some of them have the ability to rotate around its axis (can work in hard to reach places and small terrains). In the beginning, agricultural robots were slow, light and small. At the same time, they could not fully meet the requirements of their „employers“ due to the comprehensiveness of agricultural activity and the level of development of scientific and technological progress. The tasks of the agrorobots will only increase - from data collection, weeding, performing various agrotechnical activities to offering many functions. The present article uses the famous TRIZ theory, developed by the Soviet inventor Henrik Altshuler. Its basic principle is the resolution of an unresolved contradiction by means of an inventive solution, if any. An unresolved inconsistency occurs if, when one parameter improvement is introduced into a system, another parameter deteriorates. These contradictions are called „technical contradictions“. The overall dimensions of an agricultural robot for growing some crops have been determined.