An adequate nutritional management is essential to ensure high coffee yields. In view of the wide genetic variability among Coffea canephora genotypes, due to the allogamy of the species, the nutritional demand is also divergent. The objective of this study was to evaluate the leaf nutrient concentration in early (V08), medium (V12), and late-maturing genotypes (V13) of cultivar Vitória Incaper 8142. Twenty-three leaf samples were used to determine the macro- and micronutrients, collected in a 1-year period on six representative plantations in the north of Espírito Santo. The influence of the climatic conditions of rainfall and temperature, and of the vegetative growth and reproductive periods of the coffee trees on the leaf concentrations of macro- and micronutrients was confirmed. The foliar concentrations of N, P, K, S, B, Ca, Cu, and Fe of the early-maturing genotype V08, as well as those of N, Ca, S, and B of the medium-maturing genotype V12 were statistically superior to those of the late-maturing genotype V13. For all genotypes, a deficiency of micronutrient B was stated during the grain-filling period, indicating that the plant should be supplied with this element prior to this period. The nutrient concentrations frequently exceeded the recommended range, particularly during the grain-filling period.

Resumo: O objetivo deste trabalho foi avaliar a distribuição do sistema radicular do cafeeiro conilon (Coffea canephora) irrigado e não irrigado. Utilizaram-se plantas de conilon da variedade clonal Emcapa 8111, genótipo 02, com cinco anos de idade. Utilizou-se o delineamento inteiramente casualizado, em parcela subsubdividida, com cinco repetições. Os tratamentos consistiram de: presença e ausência de irrigação (parcelas), 13 distâncias do tronco (dez no sentido da entrelinha e três no sentido da linha de plantio) e seis camadas de solo (0-60 cm) nas subparcelas. As raízes foram coletadas, lavadas, digitalizadas e processadas pelo programa Safira, para quantificar área superficial, comprimento, volume e diâmetro. As plantas de conilon não irrigadas apresentaram maiores área superficial, comprimento e volume de raízes por volume de solo, bem como distribuição de raízes menos discrepante na superfície do solo e em profundidade, em comparação às plantas irrigadas. O sistema de irrigação por gotejamento promove maior distribuição de raízes nas plantas irrigadas, na zona compreendida pelo bulbo úmido da irrigação.

The effects of iron, manganese, zinc, copper, and lead on the chlorophyll content, carbon assimilation, and the antiradical activity of Rhizophora mangle and Laguncularia racemosa were evaluated in regions affected by the Fundão dam disruption in Brazil. The mine waste which settled and accumulated in the sediments could represent long-term contamination. It can be expected that the iron oxyhydroxides deposited in the sediments will be solubilized, leading to chronic contamination by trace metals and the accumulation of these metals in the biota. In this sense, biological indicators prove to be important tools to assess this type of damage. The different bioaccumulation of metals by the species revealed that R. mangle was more impacted by Mn and Cu and that L. racemosa showed alterations in its physiological responses in the presence of Cu, Zn, and Fe. The concentration of these metals in the leaves, with values above previous local reference limits, was associated with reductions in the chlorophyll-a and chlorophyll-b content and carbon assimilation, mainly in L. racemosa. The antiradical activity was also altered, suggesting a lower ability of both species to eliminate reactive oxygen species (ROS). A possible reason for the symptoms of oxidative stress may be due to the reduced efficiency of antioxidant defense by Cu²⁺ and Zn²⁺. In addition, the presence of Pb in the leaf tissue may be toxic to the fauna and the bioaccumulation of this metal and trace elements can be a way to transfer them into the food web by biomagnification.

Soil fertility is the key to agricultural production. The spatial correlation and location of nutrients may significantly affect the yields. The objective of this work was to evaluate the variability and spatial correlation of iron (Fe), copper (Cu), manganese (Mn), zinc (Zn), and organic matter (OM) with macadamia nut yield. The study was conducted in an Oxisol cultivated for 20 years with macadamia nut in São Mateus, state of Espírito Santo, Brazil. A 100 point grid was used comprising an area of 144 × 140 m with a minimum distance between points of 5 m, in which a single composite soil sample was collected from 0-0.20 m layer for chemical analysis of Fe, Cu, Mn, Zn and OM. Nuts under the canopy’s projection were harvested from February to June, 2015. The data were evaluated by geostatistical analysis using semivariograms, and kriging was used to map spatial distributions of nutrients and nut yield. All evaluated attributes showed strong or moderate spatial dependence structure. The OM was correlated positively with micronutrients, but only Zn was positively correlated with nut yield. Crossed semivariograms adequately explained the maps of Zn and Mn; and Fe showed opposite tendency for macadamia nut yield.

Establishing the number of samples required to determine values of soil physical properties ultimately results in optimization of labor and allows better representation of such attributes. The objective of this study was to analyze the spatial variability of soil physical properties in a Conilon coffee field and propose a soil sampling method better attuned to conditions of the management system. The experiment was performed in a Conilon coffee field in Espírito Santo state, Brazil, under a 3.0 × 2.0 × 1.0 m (4,000 plants ha-1) double spacing design. An irregular grid, with dimensions of 107 × 95.7 m and 65 sampling points, was set up. Soil samples were collected from the 0.00-0.20 m depth from each sampling point. Data were analyzed under descriptive statistical and geostatistical methods. Using statistical parameters, the adequate number of samples for analyzing the attributes under study was established, which ranged from 1 to 11 sampling points. With the exception of particle density, all soil physical properties showed a spatial dependence structure best fitted to the spherical model. Establishment of the number of samples and spatial variability for the physical properties of soils may be useful in developing sampling strategies that minimize costs for farmers within a tolerable and predictable level of error.

The objective of this work was to evaluate the root system of Conilon coffee (Coffea canephora) and Arabica coffee (Coffea arabica) plants in the soil profile, using semivariograms. The evaluations were carried out in an area located in the municipality of Jaguaré, in the state of Espírito Santo, Brazil. The Verdebrás G30/G35 Conilon coffee and the Catuaí Vermelho IAC 44 Arabica coffee cultivars were assessed. Soil monoliths with coffee plant roots were collected at three distances from the trunk in the planting row and at six distances from the trunk between rows, at six depths. The roots were collected and washed and then digitized and processed in the Safira software. The spatial variability of the evaluated attributes was characterized by the geostatistical technique, through semivariograms, using the GS+ 7.0 software. Root surface area, length, and volume were quantified for the two coffee species. Conilon coffee plants have a tendency of showing a root system with a smaller surface area, shorter length, and lower volume by volume of soil, as well as a less discrepant distribution on soil surface and in deeper layers, compared with Arabica coffee.