## 4 Discussion  
Taking into consideration the fact that at the moment, the aim is to increase the agricultural production by elaborating and applying new cultivation technologies to species that provide profit from an economic point of view, the specialized research focuses on the interdisciplinary analysis, the use ofotechnologies, and the improvement of cultivated species. This is done in order to provide recommendations for both farmers and investors with the best varieties that fulfill the current requirements of the market. Thus, we focus on the elaboration of analyses and models both from a quantitative and qualitative perspective of culture technologies for alfalfa varieties, as well as on obtaining finite products with a minimum use of resources but with an increased economic efficiency. In this case study, environmental factors considered to be determinant for the alfalfa cultivation were analyzed. Thus, favorability and restriction maps were created for an extended territory, representative for Romania and characterized by a diversity of landform units, as well as climatic and pedological characteristics. Regionalization based on classical techniques for identifying and mapping areas favorable to alfalfa cultivation is traditionally done on small areas due to the multitude of databases that must be taken into account to obtain the final result. Through spatial analysis  
Figure 8: Comparative analysis of potential alfalfa production (green mass and dry mass) at the level of administrative territorial units. models, there is the ability to integrate a wide variety of spatial databases, and we can also extend the analysis to larger areas due to the increased capacity of management of spatial databases by geoinformation software. The development of spatial analysis models takes full account of the methodological steps described in the classical methodologies, which makes the final results have a high degree of validation not only for case studies conducted in small areas but also regional case studies. The usefulness of implementing spatial analysis models in studies of territorial classification by favorability classes for different cultures determines that the time allocated to such research is shorter, the identification of design errors is easier and faster if the model is not validated, the presentation of the final results in the form of digital maps can be used in other spatial analysis models for regionalization and the identification of relevant solutions for landscaping in optimal conditions and optimized economic productivity  
As a result of the studies carried out by the National Agricultural Research and Development Institute in Fudulea, which is the only national center for plants improvement in Romania, 12 alfalfa varieties can be used at the moment [55]. These respond to both quantitative and qualitative requirements, in exclusive culture, as well as in intensely mixed culture. To these, we can add the following alfalfa varieties: Ileana, with a green fodder quantity of 100 t/hectare and 20 tons/hectare dry fodder quantity; Pampilia with a green fodder quantity of 95 t/hectare and 19.1 tons/hectare dry fodder quantity; Liliana with a green fodder quantity of 95 t/hectare and 19.1 tons/hectare dry fodder quantity [55,56]. The alfalfa variety called Daniela is characterized by the precocity of species. The blooming occurs with approximately 5 days before the Magnat alfalfa variety, and it offers greater production. This is an alfalfa variety that offers a production of approximately 88 t/hectare (green mass) and 17.5 t/hectare (dry mass), as well as a seed quantity between 500 and 850 kg/hectare. The alfalfa variety called Daniela has been used in Romania since 2006 on extended areas due to its regeneration capacity after moving but also due to the good production obtained from exclusive culture or in mixed varieties. This is an alfalfa variety that offers a production of approximately 90 t/hectare (green mass) and 18 t/hectare (dry mass), as well as a seed quantity between 400 and 800 kg/hectare.