Crop Production In Areas Research Articles

Изучение особенностей накопления искусственных и естественных радионуклидов в корнях лопуха большого Arctium lappa L.

The Voronezh region has traditionally been the most significant area for crop production and agriculture. However, the development of mineral resources, the implementation of chemical fertilisers in agriculture, and the consequences of the Chernobyl accident have highlighted the necessity to ensure the food industry has access to safe and effective plant raw materials. The use of low-quality plant raw materials and products derived from them represents a significant source of exposure to various ecotoxicants, including radionuclides, which can enter the human body. Objective: to examine the accumulation of the most significant artificial and natural radionuclides in the roots of a large burdock plant, harvested in different territories of the Voronezh region, with a view to determining the extent of the anthropogenic impact. Materials and methods. Under experimental conditions, the specific activity of the main long-lived artificial radioisotopes (cesium-137, strontium-90) and naturally occurring radionuclides (thorium-232, potassium-40, radium-226) on a spectrometer (RADEK MKGB-01 radiometer) was determined in samples of the upper layers of soils and roots of large burdock. Results. All of the studied samples of large burdock roots, which had been prepared in natural and artificial phytocenoses in the Voronezh region, met the existing radiation safety requirements (first group). With an increase in the specific activity of strontium-90, cesium-137, thorium-232, potassium-40, radium-226 in the soil, there was an accompanying increase in the specific activity of these radionuclides in the roots of a large burdock. Correlation analysis of the specific activity of artificial and natural radionuclides in the soil and roots of large burdock revealed a highly significant relationship between these numerical indicators, thereby confirming the predominant transposed pollution. Conclusion. The accumulation patterns in roots of large burdock, naturally occurring and anthropogenic radionuclides are described by mathematical dependencies, with an accuracy of approximation that is as high as possible.

Microbial Pesticides: A Nigerian Perspective on Sustainability of Health and Agriculture

The concerns on the use of insecticides have been in areas of agriculture and human health. Insect pests populating the farms damage crops leading to food insecurity. The use of chemical insecticides to treat insect infestation is quite popular in Nigeria in area of food crop production and in animal and human health management. These chemical insecticides often pose some health challenges to man and animals hence the need for safer bio-pesticides. Microbial insecticides consist of living cells of microorganisms Research method employed was by collection of secondary data from literatures on previous research works done. These include reports, journal articles, seminars, symposia, and conference papers. Literatures were collected online using the Dennis Osadebay University e-library. These organisms are reared using basic microbiological techniques. Mode of action of microbial pesticides is by contact, which is by entering the host through the outer protective covering or the intestine of the insect. These microbes act on the host (insects) either by elimination or by altering some of their physiological functions. They may act directly on the insects or by the action of their toxins. The toxins can be used independently as bioactive substances in place of the microbial species. Microbial insecticides can be applied as sprays, dusts, liquid drenches, liquid concentrates, wet-table powders or granules. The bio-insecticides have the capacity to ensure the safety of humans and other non-target organisms. They leave less or no residue deposits in food and are ecologically friendly.

A Comparative Analysis of Apple Production Across Districts in Himachal Pradesh: Exploring Time Series Trends and Growth Rates

Apples (Temperate fruit) contributed significantly 81.2% to the total horticultural output in Himachal Pradesh in the year 2021-22. With the growing interest among youth over apple crop cultivation, the variations in apple production across different districts have also highlighted the importance of comprehensive understanding of trends and patterns in apple crop production. Consequently, the present study aimed to analyze apple production across districts of Himachal Pradesh, taking into consideration time series analysis, district wise production, and growth rate evaluation. The study examines the trends, growth rates, and variation in apple crop production across different districts of Himachal Pradesh, India, over a decade (2012-2022). The analysis of district wise data reveals diverse growth patterns, with some districts experiencing substantial increases in both area and apple production, while other face challenges with fluctuations in production despite moderate growth in area. The study compares district wise production and evaluates growth rates to identify districts that have experienced higher or lower rates of growth over time. The one-way ANOVA analysis confirms that the production of apple crop varies significantly across different districts in Himachal Pradesh. The regression analysis demonstrates a strong positive relationship between the area of apple crop and apple production with approximately 72.6% of the variation in production explained by the area. The findings provide valuable insights for policymakers to formulate strategies that support sustainable agricultural development and address specific challenges faced by districts.

NEURAL NETWORK MODEL OF SOIL MOISTURE FORECAST NORTH KAZAKHSTAN REGION

Dealing with agriculture, it is valuable to know an amount of moisture in a soil and to know how to forecast the stored soil moisture within particular period. Forecasting the stored soil moisture works for planning an extent and structure of crop production areas and adjustment of plant-growing programs. Having known about an amount of moisture in one-meter soil and the depth of precipitation in a vegetation season shall help farmers to determine a seeding time, type of fertilizers depending on soil quality and to work out an irrigation schedule as well. In this regard, over the last few years some vigorous activities applied to machine training methods of the weather forecast have been launched in the world. The goal of present research is to develop an artificial neuron network which shall afford an opportunity to figure out a stored soil moisture prior to outgoing to winter in a short-term. North Kazakhstan Region agrometeorological measuring stations for the period from 2012 to 2022 were used in the course of the neuron network training. The Levenberg-Marquardt algorithm aimed at non-linear regression models optimization was chosen for network training. The algorithm includes sequential approximation of initial parameter values to a local optimum. The mean squared error (MSE) function and the correlation coefficient ensure accuracy and precision of forecasts. As a result, 7 neural networks under MATLAB environment using the Levenberg-Marquardt algorithm, with different input and output data, and with different number of learning iterations came to realization. Following analysis of the results, the choice was fallen on the ANN9 best network offering minimum error function and actual data maximum correlation. The neural network obtained fits for use to make efficient decisions in the North Kazakhstan region agricultural sector in the short term.

Potassium fractions in black soil mediated by integrated nutrient management modules under maize-chickpea cropping sequence.

A field experiment was conducted at the Research Farm of the ICAR-Indian Institute of Soil Science, Bhopal (India) to study influence of different integrated nutrient management (INM) modules on soil potassium (K) fractions. The experiment comprised with twelve treatments laid out in randomized block design (RBD) with three replications under maize-chickpea cropping sequence. The treatments included general recommended dose (GRD), soil test crop response (STCR) dose; combinations of inorganic and organic inputs and only organic modules. The soil samples were collected at crop harvest and analyzed for various K fractions viz., water soluble-K, available-K, exchangeable-K, HNO3-K, lattice-K and total-K. The results indicated that potassium fractions were significantly (p = 0.05) affected by different treatments. Different INM modules significantly enhanced significantly K availability in soil. Among various INM modules studied, treatment 11 (application of 20 t ha-1 FYM in maize with 5 t ha-1 FYM every year in chickpea) proved most beneficial for improving the soil K fractions. Findings of this type are important for K fertilizer management during crop production in areas with low soil fertility.

Analysis of the Fruit Drop Rate Caused by Typhoons Using Meteorological Data

Typhoons, which are a common natural disaster in Korea, have seen a rapid increase in annual economic losses over the past decade. The objective of this study was to utilize historical crop insurance records to predict fruit drop rates caused by typhoons from 2016 to 2021. A total of 1848 datasets for the fruit drop rate were generated based on the impact of 24 typhoons on 77 cities with typhoon damage histories. Three different types of measures—the average value, the maximum or minimum value, and the value at a specific point during the typhoon—were applied to four meteorological factors, yielding a total of twelve variables used as model inputs. The predictive performance of the proposed models was compared using five evaluation metrics, and SHAP analysis was employed to assess the contribution of predictor variables to the model output. The most significant variable in explaining the vulnerability to typhoons was found to be the maximum wind speed. The categorical boosting model outperformed the other models in all evaluation metrics, except for the mean absolute error. The proposed model will assist in estimating the potential crop loss caused by typhoons, thereby aiding in the establishment of mitigation strategies for the main crop-producing areas.

A follow‐up survey to assess stakeholders’ perspectives on weed management challenges and current practices in Nebraska, USA

AbstractStakeholders across the state of Nebraska, USA, were surveyed in 2019–2020 to assess problem weeds and weed management practices in agronomic crops. A total of 420 complete responses were obtained across four Nebraska districts (Northeast, Panhandle, Southeast, and West Central). Accumulated across the state, 65.5% of farmed or scouted crop ground in Nebraska was under no‐till production, with the major crops being corn and soybean representing 39.3% and 30.7% of agronomic crop production area, respectively. Palmer amaranth, horseweed, waterhemp, kochia, and giant ragweed were ranked the most problematic weeds. In a 2014–2015 survey, Palmer amaranth was the sixth most problematic weed. The most used preplant herbicides were 2,4‐D, glyphosate, and dicamba in the 2019–2020 survey. Atrazine applied alone or in mixture with acetochlor, bicyclopyrone, clopyralid, mesotrione, or S‐metolachlor were the most applied pre‐emergence (PRE) herbicides in corn, whereas the most applied PRE herbicides in soybean were metribuzin/sulfentrazone, flumioxazin/pyroxasulfone, and chloransulam‐methyl/sulfentrazone. Like the previous survey, glyphosate was the most frequent choice of survey respondents as a post‐emergence (POST) herbicide in glyphosate‐resistant corn and soybean, while 2,4‐D was the most applied POST herbicide in grain sorghum and wheat. Most of the respondents (77%) were aware of the new multiple herbicide‐resistant crops, and 86% listed physical drift and volatility of dicamba/2,4‐D as a primary concern. Twenty‐three percent of survey respondents identified integrated pest management as a primary research and extension priority for profitable agronomic crop production in Nebraska.

Invasion risks presented by Gonopsis affinis and the use of Trissolcus mitsukurii as a biological control agent under present and future climate conditions.

Gonopsis affinis (Uhler) is a stinkbug that represents a significant threat to the production of rice (Oryza sativa L.), sugarcane (Saccharum officinarum L.) and eulalia (Miscanthus sinensis (Andersson)), and has been listed as a sugarcane pest in Japan. Trissolcus mitsukurii Ashmead is an egg parasitoid of G. affinis. To determine the potential of T. mitsukurii to be a biological control agent for G. affinis, we aim to predict the current and future areas of suitable habitat for these two species and their overlap with areas of present crop production. We developed MaxEnt models using two different variable selection methods and compared the two for T. mitsukurii with a CLIMEX model. The results showed extensive suitable areas for G. affinis under current climate conditions in East Asia, West Africa, Madagascar, and South America. These ranges overlap with areas currently being used for the production of the three crops in question. More than half overlap with areas of suitable habitat for T. mitsukurii. The most critical environmental variable determining habitat suitability for G. affinis was showed to be precipitation of warmest quarter, whilst for T. mitsukurii it was minimum temperature of the coldest month. Based on our assessment we recommend the immediate implementation of monitoring and invasion prevention measures for G. affinis in southwest China, the Malay Archipelago and West Africa. We suggest that T. mitsukurii be considered for use as a biological control agent in East Asia, Madagascar, Florida and Brazil in the case of future invasions by G. affinis. © 2023 Society of Chemical Industry.

Revisiting the size–productivity relationship with imperfect measures of production and plot size

AbstractMonitoring smallholder agricultural productivity growth, one of the targets of the Sustainable Development Goals, rests on accurate measures of crop production and land area. Existing methods and protocols for measuring smallholder production and plot size are prone to various sources and forms of mismeasurement. Inaccuracies in production and land area measurement are likely to distort descriptive and predictive inferences. We examine the sensitivity of empirical assessments of the relationship between agricultural productivity and land area to alternative measurement protocols. We implement six production and six land area measurement protocols, and show that most of these protocols differ systematically in their accuracy. We find that an apparent inverse size–productivity relationship in our data is fully explained by measurement error in both production and plot size. Moreover, we show that some of the previously used “gold standard” measures are themselves prone to nonclassical measurement error, and hence can generate spurious inverse size–productivity findings. Our results also show that slight improvements in the precision of objective measures significantly reduce the inferential bias associated with the size–productivity relationship.

Quenching and quorum sensing in bacterial bio-films

Quorum sensing (QS) is the ability of bacteria to monitor their population density and adjust gene expression accordingly. QS-regulated processes include host–microbe interactions, horizontal gene transfer, and multicellular behaviours (such as the growth and development of biofilm). The creation, transfer, and perception of bacterial chemicals known as autoinducers or QS signals are necessary for QS signalling (e.g. N-acylhomoserine lactones). Quorum quenching (QQ), another name for the disruption of QS signalling, comprises a wide range of events and mechanisms that are described and analysed in this study. In order to better comprehend the targets of the QQ phenomena that organisms have naturally developed and are currently being actively researched from practical perspectives, we first surveyed the diversity of QS-signals and QS-associated responses. Next, the mechanisms, molecular players, and targets related to QS interference are discussed, with a focus on natural QQ enzymes and compounds that function as QS inhibitors. To illustrate the processes and biological functions of QS inhibition in microbe–microbe and host–microbe interactions, a few QQ paradigms are described in detail. Finally, certain QQ techniques are offered as potential instruments in a variety of industries, including agriculture, medical, aquaculture, crop production, and anti-biofouling areas.

Стрес-протекторні та регуляторні властивості саліцилової кислоти і перспективи її використання в рослинництві

Salicylic acid (SA), as a secondary phenolic metabolite with phytohormonal activity, is an important component of the plant defense system against biotic and abiotic stresses. The scale of industrial synthesis of SA in the world is constantly growing, it is used as an intermediate for the synthesis of drugs and dyes, it is also used in cosmetology, food industry, plant biotechnology, etc. Recently, it has been considered as a promising growth-regulating agent in crop production for decreasing harmful effects of biotic and abiotic stresses in plants. Over the past two decades, numerous data have been published concerning the metabolic pathways of SA synthesis and its signaling in plant immunity. It regulates and affects various stages of plant ontogenesis and metabolism: seed germination, flowering, stomatal movements, pigment synthesis, photosynthesis and respiration, ethylene biosynthesis, thermoregulation, the activity of antioxidant enzymes, nutrient absorption, membrane integrity and functioning, nodulation in legumes, synthesis of secondary metabolites, general growth and development of plants. Numerous studies have confirmed that endogenous SA and/or its derivatives are involved in stress responses to heavy metals (HMs), hyper- and hypothermia, salinity, water deficiency, and, primarily, pathogenic infections. In parallel with fundamental studies of regulatory functions of SA and/or its derivatives, new ways of their exogenous application are constantly discovered. The use of low concentrations of exogenous SA (0.1–0.5 mM) for seed priming or foliar treatment is reported as an economically viable alternative approach for increasing plant tolerance from both economic and environmental points of view. Exogenous SA leads to an increase in endogenous SA levels that induces plant adaptive responses by changing phytohormonal status, increased synthesis of a number of secondary metabolites (alkaloids, cyanogenic glycosides, phenolics, terpenes), by increasing activity of antioxidant enzymes. One of the main advantages of using SA in crop production is the ability to reduce the dosage of pesticides and fertilizers that are potentially harmful to the environment and human health. It is also reported that the use of SA in some cases may lead to negative results – growth retardation, sterility, and yield decrease; the causes of this phenomenon are actively investigated. Further studies are necessary to clarify the mechanisms of exogenic SA action and its use on various crops in different growing conditions. This review aims to analyze the recent data on SA, crop production, and biotechnology areas where it is possible to effectively apply the SA and/or its derivatives.

Agricultural mechanization in Ethiopia: hiring service transactions, mechanization clusters and land consolidation

PurposeAgriculture in Ethiopia relies heavily on traditional farm power sources and is designated by the lowest farm machinery access, in contrast to other Sub-Sahara African (SSA) countries. The purpose of this research is to analyze the heterogeneity of mechanization service transactions and factors determining farmers' cooperation in mechanization clusters and willingness to accept land consolidation.Design/methodology/approachThe authors conducted a cross-sectional survey of producer households in major crop production areas in the Oromia, SNNPR, Amhara and Tigray regions. The sampling design involved three stages: districts were selected using a stratified sampling approach accompanied by simple random samples of kebele units and producer households in the second and final stages, respectively.FindingsThis study’s results show that mechanization service costs, service relationships, clustering and land consolidation exhibit significant heterogeneity across the study areas. Cluster farming was found to be advantageous against diseconomies, rationalized by upgrading the mechanization scale. The probit model parameterization of the probability distributions reveals that household, land, crop, mechanization service, remoteness and location-related factors determine participation in mechanization clusters and willingness to accept land consolidation.Research limitations/implicationsFostering cooperation by focusing on constraints and demand of users is suggested to reduce transaction costs and expand hired mechanization services to unaddressed areas. The findings are relevant to most SSA countries where mechanization development is hampered by land fragmentation.Originality/valueLimited information is available on agricultural mechanization development for smallholder farmers, particularly in Ethiopia, and this study adds empirical evidence about the synergy between cluster farming and mechanization, horizontal coordination and alternative supply models.

Изучение закономерностей накопления наиболее опасных экотоксикантов в дикорастущем лекарственном растительном сырье различных экотопов Воронежской области

Voronezh region is one of the most important areas of agriculture and crop production. The purpose of the study was to study the patterns of accumulation of the most dangerous heavy metals in wild medicinal plant raw materials of various ecotopes of the Voronezh region. The accumulation of heavy metals (lead, mercury, cadmium, nickel, copper, zinc, cobalt, chromium) and arsenic was studied, using an example of 10 types of medicinal plant raw materials, which were produced in 51 ecotopes of the Voronezh region. When analyzing the average values of the accumulation coefficients of heavy metals and arsenic by all studied types of medicinal plant raw materials, it is possible to build up a series of decreases in the total average accumulation efficiency of the determined elements for these plants, which is as follows: zinc> copper > cadmium > cobalt > nickel > arsenic > chromium > lead > mercury. When analyzing the values of accumulation coefficients, rows of decreasing efficiency of accumulation of elements in all types of medicinal plant raw materials studied are constructed. A detailed analysis of the characteristics of the accumulation of heavy metals and arsenic from soils in medicinal plant raw materials showed the presence of aclose positive relationship between concentrations in soil and plants for most of the determined elements, which indicates the predominant contamination of plant raw materials through the soil.

Forty-year spatio-temporal dynamics of agricultural climate suitability in China reveal shifted major crop production areas

Studies measuring climate change effects on crop production and development usually focus on extreme temperature and heat indicators while ignoring water requirements and land suitability. In this study, spatially continuous differences in climate data from 1980 to 2017 using meteorological station data and elevation data as covariates were analysed with the ANUSPLIN software. The analysis integrated the effects of water and thermal resources on the agricultural production layout. Cover remote sensing of China’s multi-period land use showed that the centre of gravity of the suitable planting area of winter wheat, spring maize, and medium rice has changed according to climate conditions. It is anticipated that other arable land reserve resources, including unused lands, grasslands, and forest land, in sensitive areas such as the Taklamakan Desert, Loess Plateau, and Hexi Corridor could be rationally developed. This study provides valuable references for agricultural zoning adjustment and agricultural development policy formulation.

Occurrence, Distribution, and Management of Aphid-Transmitted Viruses in Cucurbits in Spain.

The effectiveness of pest and disease management in crops relies on knowledge about their presence and distribution in crop-producing areas. Aphids and whiteflies are among the main threats to vegetable crops since these hemipterans feed on plants, causing severe damage, and are also able to transmit a large number of devastating plant viral diseases. In particular, the widespread occurrence of aphid-transmitted viruses in cucurbit crops, along with the lack of effective control measures, makes surveillance programs and virus epidemiology necessary for providing sound advice and further integration into the management strategies that can ensure sustainable food production. This review describes the current presence and distribution of aphid-transmitted viruses in cucurbits in Spain, providing valuable epidemiological information, including symptom expressions of virus-infected plants for further surveillance and viral detection. We also provide an overview of the current measures for virus infection prevention and control strategies in cucurbits and indicate the need for further research and innovative strategies against aphid pests and their associated viral diseases.

Development and Utilization of Rural Tourism Environment in Crop Production Areas under the Background of Intelligent Tourism

Development and Utilization of Rural Tourism Environment in Crop Production Areas under the Background of Intelligent Tourism

Multi-Seed Zea Pellets (MSZP) for increasing agroecosystem biodiversity

AbstractIntensive agricultural crop production is typically associated with low biodiversity. Low biodiversity is associated with a deficit of ecosystem services, which may limit crop yield (e.g., low pollination of insect-pollinated crops) at the individual field level or exacerbate the landscape-level impacts of intensive agriculture. To increase biodiversity and enhance ecosystem services with minimal loss of crop production area, farmers can plant desirable non-crop species near crop fields. Adoption of this practice is limited by inefficiencies in existing establishment methods. We have developed a novel seed-molding method allowing non-crop species to be planted with a conventional corn (Zea mays L.) planter, reducing labor and capital costs associated with native species establishment. Common milkweed (Asclepias syriaca L.) was selected as a model native species, because Asclepias plants are the sole food source for monarch butterfly (Danaus plexippus L.) larvae. Stratified A. syriaca seeds were added to a mixture of binder (maltodextrin) and filler (diatomaceous earth and wood flour) materials in a 3D-printed mold with the dimensions of a corn seed. The resulting Multi-Seed Zea Pellets (MSZP), shaped like corn seeds, were tested against non-pelleted A. syriaca seeds in several indoor and outdoor pot experiments. Molding into MSZP did not affect percent emergence or time to emergence from a 2-cm planting depth. Intraspecific competition among seedlings that emerged from an MSZP did not differ from competition among seedlings that emerged from a cluster of non-pelleted seeds. These findings demonstrate the potential of MSZP technology as a precise and efficient method for increasing agroecosystem biodiversity.

Evaluation and Prediction of Landscape Ecological Security Based on a CA-Markov Model in Overlapped Area of Crop and Coal Production

Overlapped areas of crop and coal production are responsible for national food security and mineral resource supply. However, long-term coal mining and urban and rural construction have continuously impacted the structure and functions of the original agricultural landscape ecosystem in the area and brought serious ecological security problems. On the basis of the results of remote sensing image classification of the Zhaogu mining area, this study explores the spatio-temporal variation characteristics of the landscape pattern and the evolution of ecological security and predicts the landscape ecological security status in 2029. Research results show that the evolution of the landscape pattern in the study area manifests obvious stage characteristics: from 2004 to 2014, the landscape pattern developed in the direction of fragmentation, irregularity, heterogeneity, and low connectivity; after 2014, the landscape pattern showed continuity, regularization, and high connectivity trends. By comparing the landscape ecological security of the study area from 2004 to 2019, a temporal change characteristic of first deteriorating and then gradually improving can be observed. By analyzing the changes in the distribution of the security status in the study area on a spatial scale, it can be found that the proportion of unsafe areas is significantly reduced in 2019 due to the influence of land remediation and reclamation. By constructing a CA-Markov prediction model with both spatial and quantitative advantages, the prediction results show that the degree of landscape fragmentation in the study area will be reduced, and the connectivity will be enhanced between 2019 and 2029. The shape of landscape patches tends to be regular, and the landscape heterogeneity will be enhanced. Overall, the landscape ecological security situation will continue to improve. The results could provide reference for ecological protection and related land reclamation planning of the mine area.

Effects of Mine Water Irrigation on Soil Salinity and Winter Wheat Growth

HighlightsMine water irrigation can promote the plant height growth of winter wheat, but inhibit the growth of leaf area.High salinity mine water irrigation will inhibit the growth and development of winter wheat and reduce the yield.Mixed irrigation of mine water and clean water (the ratio is 1:1) is beneficial to the growth of winter wheat.Short-term mine water irrigation will not cause soil salinization.Abstract. There is a serious shortage of irrigation water in the overlapped areas of crop and mineral production in North China. The key to solve the problem is to utilize mine water safely and efficiently. The effects of mine water irrigation (MI), mixed mine water and clean water irrigation (MIMC), rotational mine water and clean water irrigation, irrigated with mine water first, then clean water (RIMC) and clean water irrigation (CK) on winter wheat growth and soil salinity were studied through two years of field trials (2012 to 2014). The results showed that different models of mine water irrigation had no difference in plant height, but had obvious inhibitory effect on leaf area of wheat. Compared with CK, MI increased plant height by 1.0% to 3.4%, and leaf area was 69.5% to 81.9% of that of CK. Compared with CK, the yield of MIMC was increased by 2.6% to 6.67%, and the yield of RIMC and MI was decreased by 3.4% to 21.1% and 10.4% to 11.2%, respectively. The MI with high salinity could inhibit the growth and development of winter wheat, and reduce the yield and quality, while the yield of MIMC was higher than that of CK, and could improve the quality of winter wheat. Long-term irrigation of using mine water with high salinity will increase the risk of soil salinization, but MIMC can improve soil fertility. Keywords: Growth, Irrigation, Mine water, Soil salinity, Winter wheat.

Integrated archaeobotanical evidence on the vegetation reconstruction around the tomb of Sultan Suleiman I at Szigetvár (SW Hungary)

During the archaeological excavation of the memorial place (türbe) of the Ottoman sultan Suleiman I, a moat was revealed north of the memorial place in 2015. The moat system was identified by boreholes and excavated in 2015, when 30–30 liter samples were taken from the 250 cm deep moat at 15 cm intervals for archaeobotanical and anthracological analyses. Samples were taken at 10 cm intervals for pollen studies from the archaeological profile of the moat filling. In our publication, based on the previously presented geochronological results, our aim was to reconstruct the vegetation around the memorial tomb of Suleiman, on the basis of archaeobotanical, anthracological and pollen analytical data. We were able to reconstruct ploughed lands (cereal cultivation), vegetable, fruit and vineyards, pasture lands, forest patches and trampled areas related to human activity (settlement). The military census of 1689 indicated similar tract of land structure of the crop production areas. The tomb and the Islamic pilgrimage monastery and pilgrim town (Ottoman name was Türbe kasabası) were demolished from 1692/1693 and divided into agricultural zones, where orchards, arable lands, gardens and vineyards were established.