Cut flower and pot plant growers (CFPPGs), as other farmers produce via their traditional or indigenous knowledge. Through trial and error, they have tried to solve their floriculture problems and transfer their experience to the new generation chest by chest. Dissemination and application of floriculture knowledge and technology through extension is possible only when complex factors (personal characteristics, production impetus, floriculture extension activities) come into consideration and close attention. Regarding Appropriate climate for fl Northern and Southern markets in the neighboring countries consuming a lot of floriculture products, requires us to improve our floriculture practice via dissemination of the modern technology and research findings arno1g the producers. This research which is a kind of cause — correlational research is developed basically through applying multiple regression analysis to identify and analyze individual and group combination of different independent factors and their influence upon floriculture production. To gather information for this purpose, a combined questionnaire with 68 questions and totally 386 options was developed. Forty-one (5.3%) of the research population as participants in floriculture extension classes and X2 CFPPGs. out of 729 flower growers, were selected randomly and interviewed thereafter. Therefore 123, CFPPGs were studied carefully in this study. Motivation, former job, age, place of birth, floriculture experience and some other factors were chosen as independent factors and annual cut flowers, pot plants produced, land under floriculture in terms of plastic or glass green houses, and open farms were taken as dependent variables. Some 11 multiple regression equations were designed and related hypotheses tested. Results showed that from 121 possible positions for dependent variables to be related with independent variables, only in 57 positions the relation was statistically significant including 23 positive and 44 negative relations. Among the independent variables, workers frequency and job experience were recognized as variables with the highest statistically meaningful! parameters in the equations. Flower export with the highest positive and education with the highest negative positions were recognized as the most active motivatore and constraint variables respectively in floriculture development. At the end a few recommendations were made based on the most important research findings.
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