Estabelecimento de normas DRIS em cana-de-açúcar no município de Quirinópolis, GO

• Autor(a) principal: Carvalho, Aline dos Santos de
• Data de Publicação: 2021
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFG
• dARK ID: ark:/38995/0013000007nb7
• Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/11351
• topic: Saccharum spp.; Diagnóstico de plantas; Eficiência nutricional; Balanço de nutrientes; Saccharum spp.; Plant diagnosis; Nutritional efficiency; Balance of nutrients; CIENCIAS AGRARIAS::AGRONOMIA::CIENCIA DO SOLO

Although little used, the integrated diagnosis and recommendation system (DRIS) is a promising tool for the correct interpretation of the chemical analysis of sugarcane leaves and, consequently, the adequate nutritional management of the crop. The study was carried out with the objective of determining the DRIS norms in commercial crops producing sugarcane through analyzes of soil, leaf and stalk productivity, to aid in the efficient nutritional monitoring of the crop. The experimental design adopted was a 2x2 factorial scheme, with two cultivation systems (with or without vinasse) and two varieties of sugarcane (CTC 4 and RB 867515). Each treatment had 50 repetitions, totaling 200 sample units. The soil bank was composed of samples of 0-20 cm, collected 60 days after the last fertilization. For leaf nutritional assessment, 10 diagnostic leaves (leaf + 1) were collected at the moment of the greatest vegetative development of the crop. Similarly, the evaluation of stalk productivity considering the same sampling points as soil and leaf sampling. After assembling the database (soil, leaf and productivity), these were interpreted by the critical levels and, the DRIS standards and indices with the aid of the statistical program Statical Analysis System - SAS. Sugarcane had an average increase of 30 in the productivity of areas fertilized with vinasse, in the CTC4 variety. For leaf DRIS, there was greater sensitivity in diagnosing N deficiency. However, when the database was fed with soil data, DRIS showed greater sensitivity in detecting micronutrient limitations. There are differences in the nutritional diagnosis presented by the critical level and DRIS methods for the cultivation of sugarcane for both soil and plant. DRIS suggests specific recommendations that lead to increasing nutritional balance and increasing productivity.