Caracterização de ambientes em áreas com cana-de-açúcar da usina Paisa

Abstract

It is of great importance to know production environments of sugar cane, to adopt technological measures that exploit the maximum potential of production, allocating the varieties correctly according to the genetic potential, harvesting sugar cane at the best time to ensure success in the activity. In this job, attention should be paid to the allocation of a determined specie of a region that is compatible with the agroclimatics characteristcs suitable to the development and production of the cultivation. The present work had as objective present the production enviroment of the suggar cane in lots of farms from Paisa mill, located in the municipality of Penedo – AL, classifyng the areas in enviroments from A (more productive) to E (less productive), based in Ambicana –IAC. These considerations were made based on data of productivity, cations exchange capacity, chemical atributes and available water capacity. Fifteen lots were selected for analysis of chemical and physical attributes, where soil samples were collected at depths of 0-20 cm, 20-40 cm, 40-60 cm, 60-80 cm and 80-100 cm. There was a predominance of enviroments D and E, which means a productivity below the desired one that reaches the maximum TCH of 70 in the best of scenarios. It is worth emphasizing the agricultural practices that can be adopted, in each environment, so that there is improvement in productivity, and that an enviroment characterized as E can pass into D or C, according to the handling employed. The use of the liming, plastering, phosphating, irrigation, fertigation with vinasse, green manuring, filter cake, fertilizing according with the necessities of the cultivation and expectation of productivity, besides the allocation of varieties that best adapt in each environmentbeing able to expose all its genetic potential. Aspects related to the time of planting and cutting should also be considered. It can be concluded that the work characterized the environments of the analyzed areas.