Nutritional Status of Isabel and Niagara Rosada Vines with Integrated Diagnosis and Recommendation System (DRIS) and Ranges of Sufficiency
Caroline Merlo Meneghelli *
Department of Plant Science, Federal University of Viçosa, Viçosa, Brazil
Lorena Aparecida Merlo Meneghelli
Department of Plant Science, Federal University of Viçosa, Viçosa, Brazil
Julião Soares de Souza Lima
Department of Rural Engineering, Federal University of Espirito Santo, Alegre, Brazil
Samuel de Assis Silva
Department of Rural Engineering, Federal University of Espirito Santo, Alegre, Brazil
Jussara Moreira Coelho
Department of Food Engineering, Federal University of Espirito Santo, Alegre, Brazil
Eduardo France Oza
Department of Plant Science, Federal Institute of Education, Science and Technology of Espirito Santo, Santa Teresa, Brazil
*Author to whom correspondence should be addressed.
Abstract
Nutritional diagnosis is an efficient tool to detect a dietary imbalance of plants. This work aimed to evaluate the nutritional status of grapevines of the cultivars Niagara Rosada and Isabel by the methods Sufficiency Bands (SB) and DRIS in three environments in the municipal district of Santa Teresa-ES. Six vineyards had selected at three different high (250, 500 and 650 meters high) of the Niagara Rosada and Isabel cultivars. To perform the leaf diagnosis, complete and healthy leaves had collected at the time of full bloom, and the first fresh leaf opposite the first bunch had gathered. Plant tissues had collected and analysed for N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn contents. The results had submitted to statistical analysis and interpretation of the results of the foliar study of each vineyard had performed by the method of the Sufficiency Ranges, as proposed by Terra (2003) and by the DRIS method. The nutrients Zn, S, Cu and Mg were the most limiting for deficiency, and Fe, B, Ca and Fe were the most limiting by excess. There was a divergence between the DRIS and RS methods in nutritional diagnosis for vines in the three environments. The DRIS method, considering the interaction between nutrients, determines with better accuracy when nutrients are limiting.
Keywords: Viticulture, Vitis labrusca L., foliar analysis, method