Diagnosis and Recommendation Integrated System (DRIS) to Assess the Nutritional State of Cotton Crop in Brazil

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. It means that to reach high yield it is necessary to show low NBI. The Sulphur, Boron and Zinc showed the higher frequency as the most required nutrients by plant. The Magnesium and Manganese were the less required by the cotton plant, this means that both of them were limiting the yield by excess in the tissue.

Understanding nutrient imbalances in maize (Zea mays L.) using the diagnosis and recommendation integrated system (DRIS) approach in the Maize belt of Nigeria

“…This means that the DRIS index calculated for P involved some samples from high yielding but unbalance sub-population, and this must have affected the P DRIS index. Though the norms involving P in this study are in most cases higher than those obtained by others like Serra et al 52 and Anabela et al 53 in other continents, yet the ear leaf P contents were below the sufficiency limit, this therefore suggest that nutrient norms cannot be universally adopted.…”

Understanding Nutrient Imbalances in Maize (Zea mays L.) using the Diagnosis and Recommendation Integrated System (DRIS) Approach in the Maize Belt of Nigeria

“…This means that the DRIS index calculated for P involved some samples from high yielding but unbalance sub-population, and this must have affected the P DRIS index. Though the norms involving P in this study are in most cases higher than those obtained by others like Serra et al 45 and Anabela et al 46 in other continents, yet the ear leaf P contents were below the su ciency limit, this therefore suggest that nutrient norms cannot be universally adopted.…”

Efficiency of the CL, DRIS and CND Methods in Assessing the Nutritional Status of Eucalyptus spp. Rooted Cuttings

“…Despite being used by a number of authors as the criterion for selecting guidelines [29][30][31][32], the ratio between yield and NBIm may not necessarily reflect good performance by the method, due to the high correlation between yield and the NBIm [33]. However, the fact that high and low yields occurred for low NBIm values indicates that factors other than nutrition affect yield.…”