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  • Results of weed surveys in greening plants
    53-57
    Views:
    106

    Greening crops play an essential role in Hungary's agriculture. Weeds can also cause many problems during the development of greening plants. Our research aimed to evaluate the weed control properties of greening crops sown with different germination rates. Analysis of the effect of crop rotations on weed density. Comparison of weed growth in control, fertilised and greened areas. In October of 2021, a weed survey was carried out in lupin (Lupinus albus L.), common vetch (Vicia sativa L.), oil radish (Raphanus sativus var. oleiferus L.) and buckwheat (Fagopyrum eculentum Moench). During the weed survey, we determined the different weed species and their abundance. In terms of seed rates, the higher seed rates for lupin, oil radish, and buckwheat may be worth choosing for weed suppression. Plots in rotation III had the lowest weed incidence of all greening crops. The probable reason for this finding is that there was no prior greening in rotation III. For greening, the choice of buckwheat and oil radish will result in higher weed pressure. The most important weeds were the cereals sown before the greening crop. Fertilised plots had minimally fewer weeds than control plots. Research results show the difficulties of weed control in herbicide-free greening crops.

     

  • Impact of the integration of lupine (Lupinus albus) into crop rotation on the extent of soil compaction in the Westsik longterm field trial
    529-537
    Views:
    122

    In order to reduce or eliminate soil compaction, rational crop rotation and appropriate sequence of crops have an increasingly important role in addition to mechanical and tillage solutions. In this respect, introduction of greening in recent years has been a major step, which focuses on aspects of environmentally conscious, soil conserving farming and the improvement of biodiversity. The cornerstone of this strategy is the cultivation of crops that have a beneficial effect on soil properties, such as the use of nitrogen-fixing plants and green manure plants in the cultivation system that have a beneficial effect on soil structure. In our examinations, penetrometer measurements were carried out in the second longest crop rotation-based field experiment in Europe in order to quantify the effects of green crops and crop rotation strategies on soil resistance. Our aim was to evaluate and compare the impact of lupine (Lupinus albus) on the penetration resistance of soil on sour sandy soils. At the time of the penetration resistance measurement, different crop rotations had a significant effect on the development of the parameter in the examined soil layer. The most favourable penetration resistance values were found in the crop rotation, which included lupine as a green manure. The favourable effect is dominant below the cultivated layer (0–40 cm), which is statistically verified. The values of penetration resistance of the cultivated soil layer of lupine sown as primary green manure did not differ significantly from the values measured in the case of the fallowing-based crop rotation. Therefore, the use of lupine green manure instead of fallowing could be worth considering by practical application due to its favourable effects on soil penetration resistance. The use of lupine green manure after the production of rye cultivation resulted in penetration parameters similar to fallowing, irrespective of the green crop and the applied amount of nitrogen fertilizer, which justifies the cultivation of the crop as green manure. In the case of potato cultivating, recorded compaction within the cultivated layer is an obvious consequence of mechanical compaction during harvest; therefore, machinery operations are decisive for the development of penetration resistance values of the cultivated layer. In addition to the beneficial effect of lupine as a green manure crop on soil condition, its nitrogen-fixing ability is also important; it stresses the utilisation of the crop of sour sandy soils for the sake of proper soil management. 

  • Data on the bumblebee assemblages (Apidae: Bombus spp.) lives in lands under agri-environment commitment
    31-35
    Views:
    247

    The goal of agri-environmental schemes (AES) and greening programs are protecting and increasing biodiversity in agricultural lands. The evaluation of effectiveness of AES needs further investigations. For the purpose of investigations, species and species groups should be selected which can indicate the effects of changes in landscape use on biodiversity. Bumblebees are good indicators for this purpose.

    The role of bumblebees in pollination is well studied but in the case of different crops, much less detailed data are available. In 2018, bumblebee assemblages of 44 sites belonged to 8 different agricultural and semi-natural habitat types were studied in the surroundings of Sajószöged, Tiszaújváros and Derecske.

    This study provides new distribution data of 8 bumblebee species in three 10×10 km UTM cells covering the sampling area. According to our results, the alfalfa and red clover fields and semi-natural grasslands has more species rich and abundant bumblebee assemblages than different crop fields (sunflower, oilseed radish and vegetable morrow) and can help protect bumblebee assemblages of agricultural lands. Based on the collected distribution and abundance data, the role of the bumblebees in pollination of the studied crops should be re-evaluated.

     

  • Precision crop production and artificial intelligence – the future of sustainable agriculture
    47-58
    Views:
    452

    According to Kay et al. (2004, in Shockley et al., 2017), there are seven steps to the decision-making process: 1) Identify the problem or opportunity, 2) Identify the alternative solution, 3) Collect all data and information, 4) Analyse the alternatives and make a decision, 5) Implement the decision, 6) Monitor the results of the decision, 7) Accept responsibility for the decision. The basic question is what kind of tasks we can perform in the decision-making process and what to leave for Artificial Intelligence (AI).