The expansion of agriculture to new areas in order to increase the competitiveness of coffee producing countries has resulted in cultivation expanding into regions with lower natural fertility. This scenario has created the need to differentiate genotypes of Conilon coffee based on their tolerance to low levels of nutrients in the soil, especially phosphorus, which imposes high limitations on c...

Diagnosing foliar nutritional status is essential for fertilizer recommendations and for the identification of nutrient imbalances. This study aimed to verify genetic diversity and establish mean standards (leaf nutrient contents; LNCs) and relationships among leaf nutrients (LNC relationships; LNCRs) in seven conilon coffee genotypes during both pre-flowering and bean-filling stages. Twenty cr...

The objective of this study was to evaluate the physical-hydrological and chemical properties organic carbon stock soil under intercropped conilon coffee (Coffea canephora P.) in full sun coastal tablelands Espírito Santo, Brazil. treatments evaluated were with rubber tree (CR) (FS) area 1; papaya (CP) 2; coconut (CC), (FS), an ​​native vegetation (NV) 3. physical its stocks measured layers 0-0...

Agroforestry consortia increase organic matter and nutrient cycling in agricultural systems. For this reason, the objective of work was to study release rate nutrients decomposition different residues, two times year, obtained from four cultures intercropped with conilon coffee, aiming relate released coffee needs. The residues Inga edulis, Musa spp, Gliricidia sepium, Bactris gasipaes were eva...

A strategy for genetic improvement of coffee Coffea canephora plants is to aggregate through artificial crossings the characteristics Conilon botanical variety, such as shorter height and drought resistance, with higher average grain size resistance pests diseases Robusta variety. Efficiently separating clones into these two groups aid appropriate analytical procedures makes field tasks easier ...

The aim of this study was to investigate the molecular mechanisms underlying drought acclimation in coffee plants by the identification of candidate genes (CGs) using different approaches. The first approach used the data generated during the Brazilian Coffee expressed sequence tag (EST) project to select 13 CGs by an in silico analysis (electronic northern). The second approach was based on sc...