Form of landscape as criterion in the sampling optimization of soils under sugarcane cultivation Jaboticabal, SP

• Grant number: 04/09553-3
• Support Opportunities: Regular Research Grants
• Start date: May 01, 2005
• End date: April 30, 2007
• Field of knowledge: Agronomical Sciences - Agronomy - Soil Science
• Principal Investigator: Gener Tadeu Pereira
• Grantee: Gener Tadeu Pereira
• Host Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil

Abstract

The area of the present study is located in the Santa Adélia factory, in the municipality of Jaboticabal, in the Ribeirão Preto region, in the northeast of the State of São Paulo, which forms a part of the geomorphic province of Cuestas Basálticas (Basalt Hills), on the edge of the eastern São Paulo plateau. The region has gently rolling hills with an average altitude of 600 meters. The geological material in the area being studied is related to the São Bento group of basalts, of the Serra Geral formation. The slope studied was chosen on the basis of its predominantly basaltic origin with similar pedalogical characteristics and tractability. A commercial area was selected as it permitted the practical purposes of this study. The soil sampling will be carried out 1 point for each 4 hectares. In the LC sector which represents 172 hectares (Argisoil) 47 points will be sampled, 71 points in the GS sector with 158 hectares (Latosoil), and 150 points in the MS sector with 515 hectares (Latosoil/Argisoil). Soil samples will be collected at a depth of 0-00-0.50 meters with an electronic probe and the chemical and physical properties of the soil determined. The practical importance of this study is related to the following fact: through the comparison of the range of the semivariograms, between sectors, it is possible to estimate the ideal number of samples to characterize each unit and the variability of most of the chemical and physical attributes. Through the Sanos 0.1 program the need is confirmed for a greater number of samples in a segment of greater variability, this being an intelligent and easy to use application. (AU)