Dr. S. N. MEGERIMANJUNATH. N. BENIWAD2018-03-202018-03-202015-06http://krishikosh.egranth.ac.in/handle/1/5810042137The study was conducted based on secondary data collected from AICRP (All India Co-ordinated Research Project) on Agroforestry, UAS Dharwad. The main objectives of the study were to predict the yield of agriculture crop (Soybean) and Melia azadirach and to fit growth curves and models. The data pertaining to growth parameter of tree crop Melia azadirach viz. height (m), Diameter at Breast Height or DBH (cm), crown area (m2/plant) and yield of associated agriculture crop (Soybean) (kg/ha) for eight years from 2002-2010 at different spacing combinations viz. 5x1, 5x2, 5x3 and 5x4 meters spacing between two rows of Melia azadirach were collected. The various statistical tools viz. correlation analysis, multiple regression analysis and stepwise regression analysis were done to know the relationship among tree and crop in relation to weather parameters. The study revealed that the crown area was the main factor for the reduction of the yield of the component crop among other parameters like rainfall, mean temperature and relative humidity. It was found that in the initial years when the height and crown area was less the yield levels of field crop were normal and as the height and crown area increases, decreasing trend was noticed in the field crop Different nonlinear models were tried in predicting the height and diameter growth. Among all the models studied MMF model was found to be the best fit with highest R2 value and least standard error in most of the treatment combinations in predicting the height growth and diameter growth and also used in predicting the future yield of the tree crop to know the economic benefit of the tree crop over the years.ennullSTATISTICAL INVESTIGATIONS IN Melia azadirach BASED AGROFORESTRY SYSTEMThesis