Abstract

Tissue analysis results are interpreted by comparing them with nutrient standards; however, using universal standards may lead to a misleading nutritional diagnosis. This study aimed to evaluate the degree of universality of Kenworthy and DRIS norms for irrigated ‘Prata-Anã’ (AAB) and ‘Grande Naine’ (AAA) banana plants grown in two environments. The study was carried out using a database containing leaf nutrient contents and yield data of two farms located in Ponto Novo, Bahia State, and Missão Velha, Ceará State, [...]

Highlights

  • Plant tissue analysis results should be compared with nutrient standards for interpretative purposes

  • Tissue analysis results are interpreted by comparing them with nutrient standards; using universal standards may lead to a misleading nutritional diagnosis

  • This study aimed to evaluate the degree of universality of Kenworthy and Diagnosis Recommendation Integrated System (DRIS) norms for irrigated ‘Prata-Anã’ (AAB) and ‘Grande Naine’ (AAA) banana plants grown in two environments

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Summary

Introduction

Plant tissue analysis results should be compared with nutrient standards for interpretative purposes This can be accomplished by employing several methods such as sufficiency range (Cantarutti et al, 2007), which has been traditionally used (Silva and Carvalho, 2006), mainly due to its simplicity; it has been criticized for not taking account the interaction between nutrients and its difficulty in accounting for changes in dry matter nutrient content as the plant ages. Beaufils (1973) developed the Diagnosis Recommendation Integrated System (DRIS) to interpret leaf analysis results This approach compares ratios between nutrient contents of a sampled population with norms derived from a high-yielding population by using a standard formula to calculate an index for each nutrient (Reis Junior and Monnerat, 2002). High-yielding populations are used to calculate the norms based on the assumption that, in such population, the mean of a ratio between two nutrients is similar to the optimum value (Silva and Carvalho, 2006)

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