پديد آورنده :
محنت كش، عبدالمحمد
عنوان :
مدل سازي خاك - زمين نما و پيش بيني توليد گندم ديم به كمك مدل هاي مختلف در مناطقي از زاگرس مركزي
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده كشاورزي
صفحه شمار :
پانزده،179ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
شمس ا... ايوبي، احمد جلاليان
استاد مشاور :
مهدي قيصري، امير محمد دهقاني، حسين خادمي
توصيفگر ها :
موقعيت شيب , مدل هاي آماري , مدل هاي هوشمند , مدل DSSAT , عملكرد گندم
تاريخ نمايه سازي :
26/6/92
استاد داور :
محمدعلي حاج عباسي، محمد حسن روزيطلب، نوراير تومانيان
كد ايرانداك :
ID531 دكتري
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
Soil landscape modeling and rainfed wheat yield prediction using different models in some regions of central Zagros Abdolmohammad Mehnatkesh E mail address a mehnatkesh@yahoo com Date of Submission February 25 2013 Department of Soil Science Isfahan University of Technology Isfahan 84156 83111 Iran Shamsollah Ayoubi ayoubi@cc iut ac ir Ahmad Jalalian jalalian24@yahoo com Hossein Khademi Amir Ahmad Dehghani Mahdi Gheysari Department Graduate Program Coordinator Mohammad Mahdi Majidi Associate Professor and Professor Department of Soil Science College of Agriculture Isfahan University of Technology Respectively Professor Department of Soil Science College of Agriculture Khorasgan Azan University Assistant Professor Department of Water Engineering College of Agriculture Goargan Agricultural and Natural Resources University Associate Professor Department of Water Engineering College of Agriculture Isfahan University of Technology Abstract The main objectives of this resaerch were to study the topographical effects on soil characteristics and wheat production and compare the statistics intelligent and dynamic models to prediction wheat production in the central Zagros of Iran The results showed that topography and slope position had significant effect on both soil characteristics and wheat yield Soil depth modeling showed that slope was the most predictor Wheat grain and biomass yield had significant correlation with saturation percentage and soil organic matter Slope position had significant effect on grain and biomass wheat yield The best suitable position was toeslope and the worst was shoulder for wheat production In second study among the MLR SVM and ANN models the ANN models were the best to predict wheat grain and biomass yield Sensitivity analysis by Hill method showed that the most important factors affecting grain and biomass of rainfed wheat were those that controlled soil water content The results of prediction of wheat yield by CERES wheat model showed that the model doesn t have any perception about the hillslope or any of the slope positions actually the model s performance is satisfactory in those slope positions which they have the most analogy with the ideal assumed field by DSSAT package Keywords modeling slope position wheat yield intelligent models DSSAT Zagros Introduction Land evaluation is approach to classification of land base on potentials and limitations of land In this way the most criteria is crop yield and the best technique is that can relates relashenship between land attributes and crop yield Wheat Triticum aestivum L as the most strategic crop for human nutrition is cultivated in many countries under rainfed conditions in the semiarid regions The prediction of yield production and study of important factors that affect this crop is important Crop growth and yield models are based on a combination of soil crop and climatic variables 4 Slope position has beenPDF created with pdfFactory trial version www pdffactory com
استاد راهنما :
شمس ا... ايوبي، احمد جلاليان
استاد مشاور :
مهدي قيصري، امير محمد دهقاني، حسين خادمي
استاد داور :
محمدعلي حاج عباسي، محمد حسن روزيطلب، نوراير تومانيان
