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The growth promoting effect of basal and foliar application of coir pith based cyanobacterial biofertilizer on Basella rubra L. was determined by analyzing the morphological and biochemical parameters of the control and test plants after treatment. Compared to control plants test plants showed better height, stem circumference, number of branches, number of leaves and number of flowers. Biochemical analysis of test and control plants also revealed similar increase of parameters in test sample. Thus, from our study we recommend cyanobacteria be considered as a serious contender in the field of biofertilizer.Key words: Oscillatoria annae; coir pith; biofertilizer; Basella rubra L.; foliar spray. IZVLEČEK VPLIV BIOGNOJILA IZ OSTANKOV KOKOSOVIH OREHOV IN CIANOBAKTERIJ NA ZDRAVILNO ZELIŠČE Basella rubra L.Raziskan je bil vpliv biognojila, dobljenega iz ostankov kokosovih orehov in predelanega s pomočjo cianobakterij na rast rastlin zdravilnega zelišča Basella rubra L. Avtorji so analizirali morfološke in biokemične parameter rastlin tretiranih z gnojilom in kontrolnih rastlin. S preparatom tretirane rastline so bile višje, imele so debelejše steblo, bile so bolj razvejane in imele več listov in cvetov. S cianobakterijami obdelani organski ostanki po predelavi kokosovih orehov bi lahko bili pomembna osnova za pridobivanje biognojil.Ključne besede: Oscillatoria annae; kokosovi ostanki; biognojilo; Basella rubra L.; foliarno gnojenje.1,2,3,4 Ph. D. Students,

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Jatropha seed yield prediction is one of the most important factors for developing a supply chain modeling of Jatropha seed. The seeds of Jatropha curcas are generally used for the making of oil. Jatropha happens to be one of the most easily cultivable biofuel crops having a high degree of yield. The extract from its seeds, jatropha oil, is processed to obtain biofuel and biodiesel. The uncultivable wastelands are planned to utilize for cultivating jatropha seed is the main focus in this study. The effectiveness of prediction affects the functional characteristics of supply chain network design. The jatropha yield prediction has two important roles includes, (i) The identification of external parameters which affects the yield and (ii) Detection of internal attributes which changes the growth characteristics of jatropha plant. The development of Fuzzy Inference System characterized by a large number of input variables.This paper analyses the quantitative evidence that the yield of different regions on different attributes which are largely determined by only few attributes. Therefore, a new approach was ventured, where GUI was developed using MATLAB integrating ANFIS variables to model the Jatropha yield phenomenon, in which the numeric and graphical output can be easily printed to interpret the results. To investigate ANFIS variables' characteristic and effect, error was analyzed via Root Mean Square Error (RMSE) The RMSE values were then compared among various trained variables and settings to finalize best ANFIS predictive model.