Spatial Variability in Leaf Analysis and Productivity of Fertirrigated Açaí

Abstract

This study aimed to define management zones (MZs) for fertirrigated açaí cultivation, based on spatial variability of the foliar nutrients and productivity data. The work was carried out in an area of 5.75 ha of a 7-year crop, with 80 georeferenced sample points. Fresh fruit productivity and nutrient (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn, and Zn) contents were determined. The average contents of macronutrients were considered adequate for adult açaí plants, and their spatial dependence associated with fruit productivity allowed the representation of their distributions through maps of variability. Through multivariate analysis, three main components were highlighted. These components explained 51.5 % of the total variability of the data, where PC1 showed a higher correlation with Ca, Mg, K, and P. In addition, three MZs were obtained, out of which one with the highest productivity showed the best Ca, Mg, S, B, and Fe leaf contents. Principal component analysis and determination of MZs emphasized Ca and Mg nutrition as being more related to spatial variability and açaí fruit productivity.

Defining management zones for a papaya culture considering soil chemical attributes by fuzzy c-means

“…As an example, it is possible to cite using farmer knowledge (Karydas et al, 2020), productivity data (Ribeiro et al, 2020), soil sampling (Demattê et al, 2014), images (Rodrigues Junior et al, 2011), electromagnetic induction sensors (Barrowes et al, 2019) and the combination of these data (Taylor et al, 2003;Fleming et al, 2004;Koch et al, 2004;Schepers, 2004).…”