Analysis of the spatial variability of crop yield and soil properties in small agricultural plots
By S. Vieira, A. Gonzalez. 2003
125 citations recorded by the source corpus.
The objective of this study was to assess spatial variability of soil properties and crop yield under no tillage as a function of time, in two soil/climate conditions in Sao Paulo State, Brazil. The two sites measured approximately one hectare each and were cultivated with crop sequences which included corn, soybean, cotton, oats, black oats, wheat, rye, rice and green manure. Soil fertility, soil physical properties and crop yield were measured in a 10-m grid. The soils were a Dusky Red Latossol (Oxisol) and a Red Yellow Latossol (Ultisol). Soil sampling was performed in each field every two years after harvesting of the summer crop. Crop yield was measured at the end of each crop cycle, in 2 x 2.5 m sub plots. Data were analysed using semivariogram analysis and kriging interpolation for contour map generation. Yield maps were constructed in order to visually compare the variability of yields, the variability of the yield components and related soil properties. The results show that the factors affecting the variability of crop yield varies from one crop to another. The changes in yield from one year to another suggest that the causes of variability may change with time. The changes with time for the cross semivariogram between phosphorus in leaves and soybean yield is another evidence of this result.
Subfields: Environmental Engineering, Soil Science
View Paper: https://www.semanticscholar.org/paper/76386367a95dca623dcedc0b256311962861d22e
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In Environmental Engineering
In Soil Science
Citations in the corpus
- Spatial analysis of soil surface hydraulic properties: Is infiltration method dependent? (2010, methodology): “Experimental semivariograms were normalized by dividing each semivariance by the experimental variance value (Vieira and Gonzalez, 2003).”