Yazar "Baydar, Alper" seçeneğine göre listele
Listeleniyor 1 - 4 / 4
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe DSSAT Bitki Simülasyon Modeli ile Buğday’da Verim Tahmini(Malatya Turgut Özal Üniversitesi, 2024) Baydar, Alper; Özfidaner, Mete; Gönen, Engin; Dalkiliç, BurakBu çalışmada 2018-2019 yılları arasında Mersin yöresi koşullarında gelecek yıllarda oluşabilecek iklimsel değişikliklerin belirlenebilmesi amacıyla Buğday bitkisinin bitki simlasyon modeline olan entegrasyonu incelenmiştir. Bu anlamda DSSAT bitki simülasyon modeline ait Ceres alt modelinin buğday bitkisinde kullanım durumu belirlenmiştir. Arazide elde edilen ve model tarafından kestirilen bitki boyu (cm), yaprak alan indeksi (cm2 cm-2), biyokütle (kg ha-1) ile verim (kg ha-1) değerleri karşılatırılarak %5 önem seviyesinde t testi uygulanmıştır. Araştırmanın her iki yılında da arazide ölçülen ve modelin kestirdiği anılan parametrelerde %5 önem seviyesinde farklılıklar görülmemişken yaprak alan indeksi değeri farklılık göstermiştir. DSSAT-Ceres bitki simülasyon modeli 2018 ve 2019 yıllaında sırası ile 5840-3970 kg ha-1 verim değeri elde ederken arazi ölçümleri ise 6220-3800 kg ha-1 şeklinde elde edilmiştir. DSSAT bitki simülasyon modelinin kalibrasyon sonucu elde edilen bitki genetik katsayıları ile buğday tahmini yapabileceği sonucuna varılmıştır.Öğe Evaluating soybean yield responses to future climate change and irrigation regimes: a DSSAT multi-model assessment(Frontiers Media Sa, 2026) Baydar, Alper; Colak, Yesim Bozkurt; Ozfidaner, Mete; Gurkan, Hudaverdi; Gonen, EnginIntroduction Climate change is expected to intensify temperature and precipitation variability in Mediterranean regions, creating uncertainty for soybean production.Methods In this study, the DSSAT-CROPGRO-Soybean model was run with three global climate models under two emission pathways (RCP 4.5 and RCP 8.5) across three future time periods: near-future (2016-2040), mid-century (2041-2070), and late-century (2071-2098). Bias correction significantly enhanced the reliability of climate inputs by reducing systematic temperature deviations and improving agreement with observed meteorological conditions. The model was calibrated and validated using observed phenology, leaf area index (LAI), biomass, and yield across three irrigation treatments (I100, I70, and I50).Results The model showed good correspondence between observed and simulated values. Taylor diagram analysis revealed correlation coefficients generally exceeding 0.95, coefficients of determination (R & sup2;) ranging from 0.74 to 0.99, and acceptable RMSD values across treatments. Future projections indicated that yield responses varied across future periods and irrigation conditions. Under late-century conditions, RCP 8.5 produced higher yields than RCP 4.5 by approximately 4-17% under irrigated conditions and 6-20% under rainfed conditions across the considered GCMs.Discussion Elevated CO2 partly mitigated the effects of warming; however, seasonal soil water availability remained the primary constraint on yield. The results demonstrated that the calibrated DSSAT-CROPGRO-Soybean model provides a reliable basis for predicting the adverse effects of future climatic conditions on soybean production, while multi-GCM climate projections indicated that the magnitude of these effects may vary substantially depending on emission scenario, projection period, and water availability.Öğe Evaluation of Hydraulic and Irrigation Performances of Drip Systems in Nectarine Orchards (Prunus persica var. nucipersica) in The Mediterranean Region(Mdpi, 2025) Baydar, Alper; colak, Yesim Bozkurt; Kucukyumuk, Cenk; Dalkilic, BurakThis study focused on evaluating the performance of the drip irrigation systems installed in 18 different nectarines (Prunus persica var. nucipersica) orchards in the Tarsus Plain in the Mediterranean region from 2017 through 2018. The performance of the drip systems was evaluated based on parameters like average emitter discharge (Qavg), Christiansen uniformity coefficient (CU), distribution uniformity (DU), emission uniformity (EU), and system application efficiency (Ea). The results indicated that the CU varied between 81 and 98%; DU changed from 82 to 97%; EU 61-92%; absolute emission uniformity (EUa) ranged between 93 and 98%; statistical uniformity (Us) changed from 85 to 97%; application efficiency of low-quarter (AELQ) varied between 45 and 97%; potential application efficiency of low-quarter (PELQ) ranged between 55 and 83%; system application efficiency (Ea) changed from 56 to 96%; storage efficiency (Es) fluctuated between 45 and 97%; and pressure variation (Pv) 17-81% and emitter flow variations (qv) of 2-36% were determined. Although the CU, DU, and EU values were acceptable, the variations in emitter flow rates and pressures were not acceptable. The results revealed that the lower performances might be attributed to physical clogging and/or lack of system design and application practices by the farmers. It is recommended that the farmers receive appropriate training on the operation and management of drip irrigation systems.Öğe Simulating the Effects of Climatic Changes on Tomato Using Regional Climate Model and DSSAT Crop Simulation Model(2025) Baydar, Alper; Çolak, Yeşim Bozkurt; ÖZFİDANER, METEIn order to fulfill requirements of people due to increase in population, all countries are developing new production strategies and plans for more efficient usage of the current resources. Climate change and agricultural drought are the most important environmental factors effecting agricultural production in the world. Aim of this study was determining the possible effects of climate changes on tomato (Solanum lycopersicum L.) production under created future climate conditions in the Mediterranean Region of Türkiye. For this purpose, 2 yr (2014-2015) field experiment was conducted for calibration and validation of Cropgro model of Decision Support System for Agrotechnology Transfer (DSSAT) version 4.5, Reference (1961-1990) and future (2001-2099) years climate data which were calibrated for Seyhan Basin of the International Centre for Theoretical Physics (ICTP) Regional Climate Model system version 3 (RegCM3) were used to obtain future climate conditions by pseudo warming downscaling technique. According to the results that precipitation will decrease in a range of 21-25% also minimum and maximum temperatures will increase in a range of 16-29% in the both experiment years respectively. Cropgro of DSSAT model simulated that tomato yield will decrease about 16-17% while increase biomass in a range of 30-32% depending on the climate change effects in the future. It is recommended to compare the model outputs with obtained field datas in order for the model to make more appropriate estimations. DSSAT crop simulation models (CSM) can be used in agronomy studies to estimate yield and growth parameters.
