The Diagnosis and Recommendation Integrated System (DRIS) – First Aproach for the Establishment of Norms for Vineyards in Portugal

Abstract

SUMMARYThe Diagnosis and Recommendation Integrated System (DRIS) is an alternative tool for the evaluation of nutritional status and fertilizer recommendation of several crops. However, as this methodology implies the establishment of norms or standards, without which one cannot infer about the nutritional status of a crop, in Portugal this tool has little application. The aim of this study was to establish preliminary DRIS norms for vineyards in Portugal. From 2007 to 2009, petiole samples were collected on a set of 199 selected plots. The DRIS norms were established according to the proposed by Beaufils (1973), based on the results of the laboratory procedures. The results suggest the need for further studies in order to validate the DRIS norms presented. In the future it will be important to increase the number of observations for the establishment of DRIS norms, as well as to determine the relevance of establishing specific nutritional standard according the edaphic, climatic and varietal variability of Portuguese wine regions. RESUMOO Sistema Integrado de Diagnóstico e de Recomendação, em língua inglesa Diagnosis and Recommendation Integrated System (DRIS) constitui uma ferramenta alternativa para a avaliação do estado nutricional e a fundamentação da recomendação de fertilização de diversas culturas. Todavia, em Portugal este é um recurso ainda pouco divulgado uma vez que tal metodologia implica o estabelecimento de valores de referência ou normas, sem os quais não se poderá inferir sobre o estado nutricional de uma dada cultura. Neste trabalho, pretendeu-se estabelecer normas DRIS para a cultura da vinha em Portugal Continental. Para tal, entre 2007 e 2009, selecionou-se um conjunto de parcelas, nas quais foram recolhidas 199 amostras de pecíolos. As normas DRIS foram calculadas de acordo com a metodologia proposta por Beaufils (1973), a partir dos resultados da análise laboratorial. Os resultados obtidos sugerem a necessidade de estudos posteriores, com vista à validação das normas DRIS apresentadas. Futuramente será importante aumentar o número de parcelas consideradas para o estabelecimento das normas DRIS, assim como averiguar a pertinência do estabelecimento de padrões nutricionais mais específicos, de acordo com a variabilidade edafoclimática e varietal das regiões vitivinícolas portuguesas.

Identification of the critical levels, sufficiency ranges and potential response to nutrient fertilization in vineyards by the DRIS method

“…This system includes the bivariate relationships, between nutrients and facilitates the classification of nutrients to easily identify the ones which are the most limiting (either by excess or lack), as well as to assess the indices that reveal the relative nutrient balance. The DRIS methodology has been used for vines (Teixeira et al, 2015) worldwide (Carneiro et al, 2015;Martıń et al, 2016) and in Brazil revealing its effect in the creation of nutritional standards. This implies that a part of the dissimilarities in vineyard productivity could be linked to the nutritional balance.…”

Establishment of Dris Norms for Cactus Pear Grown Under Organic Fertilization in Semiarid Conditions

“…Moreover, the occurrences of pests and diseases affect the nutrition of plants and alter their responses to fertilization. Therefore, DRIS norms are more reliable when locally defined (CARNEIRO et al, 2015).…”

Nutritional requirements and precise fertilization of wine grapes in the eastern foothills of Helan Mountain

“…At present, many different methods are used to nutritionally diagnose fruit trees across the globe. For example, Mostashari et al [12] used component nutrition diagnosis (CND) and diagnosis and recommendation integrated system (DRIS) diagnostic methods to determine the fertilization standard for grapes, and Portugal uses a DRIS analysis of petioles and has developed specific nutritional diagnostic criteria based on soil, climate, and cultivar variability [13] .…”