Determination of Sulfate Concentration in Soil: Depth of Sampling

REUSSI CALVO, N.I.; ECHEVERRÍA, H.E; SAINZ ROZAS, H.

COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS

TAYLOR & FRANCIS INC

Lugar: London; Año: 2009 p. 1624 - 1633

0010-3624

To diagnose sulfur (S) deficiency, methodologies based on soil sample analysis and simulation models have been used, all of which require determination of S availability. The objective was to evaluate the possibility of estimating sulfate concentration up to 60 cm deep, using values from soils 0?20 or 0?40cm deep as predictive variables. A set of data from 22 fertilization experiments on winter and summer crops was used. For wheat, a close association (P,0.0001) was determined between sulfate concentrations 0?20 and 0?60 cm deep (r2 5 0.88). When the sulfate concentration at 0?40 cm deep was used as predictive variable, the model r2To diagnose sulfur (S) deficiency, methodologies based on soil sample analysis and simulation models have been used, all of which require determination of S availability. The objective was to evaluate the possibility of estimating sulfate concentration up to 60 cm deep, using values from soils 0?20 or 0?40cm deep as predictive variables. A set of data from 22 fertilization experiments on winter and summer crops was used. For wheat, a close association (P,0.0001) was determined between sulfate concentrations 0?20 and 0?60 cm deep (r2 5 0.88). When the sulfate concentration at 0?40 cm deep was used as predictive variable, the model r2,0.0001) was determined between sulfate concentrations 0?20 and 0?60 cm deep (r2 5 0.88). When the sulfate concentration at 0?40 cm deep was used as predictive variable, the model r22 5 0.88). When the sulfate concentration at 0?40 cm deep was used as predictive variable, the model r22 increased to 0.97. Similar results were obtained for summer crops (r250.68 and 0.94 for 0?20 and 0?40, respectively). The integration of all 22 experiments showed two linear models (P , 0.0001) to estimate sulfate concentration up to 60 cm deep (r2 5250.68 and 0.94 for 0?20 and 0?40, respectively). The integration of all 22 experiments showed two linear models (P , 0.0001) to estimate sulfate concentration up to 60 cm deep (r2 5, 0.0001) to estimate sulfate concentration up to 60 cm deep (r2 5 0.79 and 0.95 for 0?20 and 0?40, respectively). These results help to simplify soil sampling and would enable more use of S diagnostic methods by producers.