Browsing by Author "Acibuca, Veysi"

Now showing 1 - 5 of 5

Evaluation of Some Corn Genotypes as a Second Crop by Trait (GT) Biplot Method
(Natl information Documentation Cent, Acad Scientific Research & Technology, 2025) Dogan, Serap; Acibuca, Veysi; Dogan, Yusuf
IT is extremely important to grow more than one product in a production season to obtain the maximum income per unit area. Maize is one of the most suitable crops for the second product. This research was carried out in Tilkitepe village of Artuklu district of Mardin province in the 2021 growing season to determine the second crop conditions in the borders of Mardin province using hybrid cultivars with different characteristics. The study was conducted according to a randomised block design with three replications. The data obtained from the traits investigated in this study were subjected to an analysis of variance and interpreted using the GT biplot technique. Significant differences at the 1% level (p<0.01) were found between the genotypes in terms of the traits studied, except for the protein ratio. In the results of the study; plant height (PH) varied between 209-254 cm, height of first ear (HFC) between 59.4-87.7 cm, ear length (CL) between 17.7-21.7 cm, number of rows on ear (NRC) between 39.2-43.8 pieces, 100 grain weight (100 GW) between 30. 3-43.5 g, cob weight (CW) between 186-254 g, number of grains on the cob (NGC) between 584-696 pieces, hectolitre weight (HW) between 75.1-82.2 kg/hl, protein ratio (PR) 6.6-9.5%, grain yield (GY) between 9629-13220 kg/ha. According to the results and biplot graphs, Dekalb-6050(G39) was the most suitable genotype among the genotypes based on grain yield and traits as a second crop. As a result, this variation showed that the maize cultivar had good results as a second crop under the Mardin condition. Therefore, the Dekalb-6050(G39) genotype can be recommended for cultivation as a second crop in the following years under Mardin conditions.
The Possibility of Using Unmanned Aerial Vehicles in Agricultural Activities in Turkey
(Natl information Documentation Cent, Acad Scientific Research & Technology, 2024) Acibuca, Veysi
I N THIS study, the perceptions and attitudes of farmers towards drone use and the variables that affect their intention to use drones in two provinces in the Southeastern Anatolia region of Turkey were investigated. The main purpose of this study is to determine the hidden variables that may affect the intention to use unmanned aerial vehicles, which have been used in agricultural activities by some farmers in the region in the last few years and are expected to become widespread rapidly. For this purpose, the Technology Acceptance Model (TAM) was used as the primary reference to predict adoption intention. A proportional sample size was used to determine the number of surveys, and the survey was conducted with 249 producers.The study was conducted between September 2022 and January 2023 in Mardin and & Scedil;anl & imath;urfa provinces located between 37 degrees 50>-41 degrees 54> east longitude and 36 degrees 40>-38 degrees 12> north latitude in the Southeastern Anatolia Region of Turkey.A structural equation model (SEM) was used for basic data analysis. As a result of the results obtained, it was determined that the perceived usefulness and perceived economic benefit had significant effects on the intention to use the drone, on the contrary, the perceived ease of use and trust attitude did not affect the intention to use. Furthermore, the possibility of reducing workload, enhancing productivity, and lowering expenses appeared to be the most significant factors influencing drone adoption intention. The results showed that spraying and fertilization activities using drones are more beneficial in terms of crop productivity and labor force reduction compared to traditional methods. As a result, it has been suggested that legal arrangements should be made to include drones in machinery and equipment support given by the state to encourage the use of drones and to expand the use of unmanned aerial vehicles in agricultural activities.
Citation - WoS: 2
Citation - Scopus: 2
The impact of some animal products on agricultural gross domestic product in Türkiye: A time series analysis
(Revista Brasileira Zootecnia Brazilian Journal Animal Sci, 2024) Acibuca, Veysi
The relationship between animal products and agricultural gross domestic product (AGDP) in Turkiye was investigated in this study. We used data of eight animal products (cow milk, sheep milk, beef, mutton, poultry meat, eggs, wool, and honey) from 1980 to 2020. After checking the stationarity of the series by the Augmented Dickey-Fuller (ADF) test, the Johansen cointegration test was used to establish the existence of a long-term relationship between animal products and AGDP, and the results were interpreted using The Fully Modified Ordinary Least Squares (FMOLS) analysis. According to the findings, honey, beef, poultry meat, mutton, eggs, and wool had a positive and significant relationship with AGDP in Turkiye, whereas sheep milk and cow milk and AGDP was not significant. The total effect of the examined animal products on AGDP was 0.61%. The results showed that wool was the most important contributor to AGDP among the products analyzed. Therefore, it is suggested that policymakers develop funding strategies to expand the production of these products.
The Purposes and Attitudes of Individuals to Use Medicinal Plants in Turkey
(Univ Federal Santa Maria, 2025) Acibuca, Veysi; Bahsi, Nermin; Budak, Dilek Bostan
This study determined the use of medicinal plants as an alternative therapeutic approach in Turkey. Moreover, the study identified the specific ailments for which these plants are employed and the corresponding proportion of usage. Data was collected by face to face interview with using a structured questionnaire form in all regions of Turkey. Both descriptive and inferential statistics were used in data analysis. According to the research findings, approximately 65.4% of participants use medicinal plants into their treatment regime, asserting their significant benefits. Furthermore, it is posited that the consumption of medicinal plants has witnessed an upsurge during the Covid-19 epidemic. The participants' attitudes towards medicinal plants are directly influenced by their level of knowledge, convenience and perceived usefulness. The study reveals that participants possess awareness of approximately 200 medicinal plants. Among the most well-known plants are garlic (Allium sativum L.), vera L.), linden (Colocasia esculenta L.), nettle (Achillea millefolium L.), and sage (Salvia officinalis L.). The most critical determinant fort he prevalence of medicinal plant consumption appears to be individuals' positive beliefs regarding their efficacy in curing diseases. Additionally, promoting knowledge about medicinal plants is deemed essential in fostering informed and conscientious consumption practices.
Utilizing FUCOM and AHP Methods To Identify the Optimal Beekeeping Lands: A Case Study From Mardin, Türkiye
(Public Library Science, 2025) Mercan, Cagri; Acibuca, Veysi
Beekeeping plays a vital role in agricultural sustainability and biodiversity conservation, yet identifying ecologically suitable areas for apiculture remains challenging. The objective of this study is to evaluate and compare two Multi-Criteria Decision-Making (MCDM) methods-the Analytical Hierarchy Process (AHP) and the Full Consistency Method (FUCOM)-within a Geographic Information Systems (GIS) framework to identify optimal beekeeping areas in Mardin Province, T & uuml;rkiye. Nine environmental, climatic, topographical, logistic, and socio-economic factors were selected through literature review, legal regulations, expert consultation, and field observations. Suitability maps were generated and validated using field-verified hive locations and Receiver Operating Characteristic-Area Under the Curve (ROC-AUC) analysis. The results show that land use/cover, proximity to water sources, and precipitation were the most influential factors. Overall, 83% of hive locations coincided with areas classified as moderately suitable or higher. AHP achieved slightly higher predictive accuracy (AUC = 0.774) than FUCOM (AUC = 0.754), while FUCOM required substantially fewer pairwise comparisons, underscoring its efficiency. These findings confirm the robustness of the framework and provide a practical tool for sustainable apicultural land-use planning, offering transferable insights for policymakers, decision-makers, and beekeepers in T & uuml;rkiye and other regions with similar ecological conditions.