Diagnosis and Recommendation Integrated System (DRIS) to Assess the Nutritional State of Plants

Abstract

The diagnosis of nutritional state is an important tool to understand the nutritional requirement of plants and the influence of the nutritional balance on the yield. The proposed in this study was to apply the Diagnosis and Recommendation Integrated System (DRIS) to assess the nutritional state of cotton crop through the order of nutrient requirement and nutritional balance. Yield data from plots (average acreage 100 ha) and foliar concentrations of macro and micronutrients of cotton (Gossypium hirsutum r. latifolium) plants were stored in a database. The criterion to define the reference population consisted of plots with above-average yields + 2/3 standard deviation (over 4785 kg∙ha−1 seed cotton yield). The DRIS method was efficient to evaluate the nutrition state of cotton. It was feasible to identify the order of plant requirement and nutritional balance. It was feasible to observe that when minor the Nutritional Balance Index (NBI) it’s higher the yield.