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The objective of this work was to evaluate the technical and economic cutting age of forest plantations considering the wood market under volumetric and gravimetric measurement units. Volumetric production and wood basic density for Eucalyptus urophylla clones stands were obtained from a forest company in the Jequitinhonha's region, Minas Gerais State, for ages of 3 to 9 years. It was estimated: mass per hectare; technical cutting age (TCA) for volume and mass; and economic viability at different interest rates. Data was divided by three clones, being the denser (C), passing through (B) median density, and less denser (A). The results showed that in alternating volumetric for gravimetric unit, the TCA occurs at least one year later. For the economic analysis, the results demonstrated that projects for wood commercialization by gravimetric measurement are economically viable when using high-density clones, due to the higher amount of mass per volume. For clones with low density and high volumetric productivity, the analysis must be done from a volumetric point of view, as the economic results were 23% higher than in the mass analysis. It was concluded that the adoption of the gravimetric unit of measure in the forest sector tends to cause significant changes in project management, improving wood characteristics for energy by postponing the cutting age and making more sensible the genetic material selection. [ABSTRACT FROM AUTHOR]

The main animal science indexes, components of production costs and main economic indicators were assessed in dairy plantation in the north of the state of Minas Gerais, with different size layers. Data division was undertaken by nonsupervised method following the total number of cows in the herd. Coefficients of linear co-relationship, economic indexes, production costs, regression parameters of variables with significant co-relationship with profit were determined. Zootechnical indexes with the greatest influence in unit costs of production comprised percentage of milking cows, mean number of milking days, mean productivity of the herd, efficiency of labor and productivity per area. Birth intervals had a significant corelationship with gross and net margins per liter of virtual milk. Percentage of milking cows, productivity of milking animals and productivity per area had the greatest coefficient of co-relationship with profit. In the case of regression, zootechnical indexes milking cow percentage and productivity of milking cows provided negative rates for the interception point of the dependent variable profit. Results show that layers with greater productivity had lower operational costs and less net margin. The above did not affect significant rates in profit. [ABSTRACT FROM AUTHOR]