Abstract
In the global agribusiness, the herbicide use is a major problem for sustainable production, in this sense, it is necessary to better understand the interaction of weed species and floristic composition such as biodiversity indicators. The objective of this study was to analyze the spatial variability of weeds in an Oxisol under no-tillage system. Samples were taken in an area of 0.5 ha, in 50 sampling points with spacing of 5 m x 10 m. Data were analyzed by means of classical statistics, geostatistics, and spatial variability of the constructed maps by the interpolation by kriging technique. All the species of weeds presented in the study area showed spatial variability with the exception of Ipomoea triloba (L.) and Heliotropium indicum (L.), which showed pure nugget effect. The range values (a) shows that the spacing between samples can be extended to all species of weeds. The study was unable to determine specifics areas of management in the local since the different species of weed infested different plots of the area. Key words: Precision agriculture, semivariograms, site-specific management.
Highlights
The weeds have acquired along the evolutionary process the capacity to establish themselves in areas where the natural vegetation has been eliminated, mainly for agricultural cultivation
The herbicide use is a major problem for sustainable production, in this sense, it is necessary to better understand the interaction of weed species and floristic composition such as biodiversity indicators
The objective of this study was to analyze the spatial variability of weeds in an Oxisol under no-tillage system
Summary
The weeds have acquired along the evolutionary process the capacity to establish themselves in areas where the natural vegetation has been eliminated, mainly for agricultural cultivation. Among the developed features by the weeds, there are high reproductive capacity, rapfastid dispersal, and genetic adaptations. These associated characteristics are responsible for a significant part in the reduction of agricultural production (Rodrigues et al, 2010). This sense, the use of precision farming tools allows space and temporal monitoring of weeds variability, mapping the infestation areas, specific areas of management determination (Goel et al, 2003), and herbicides localized application, which reduces the applied amount and costs. This study aimed to determine the spatial variability of weeds in an Oxisol managed under the notillage system in Urutaí (Goiás, Brazil)
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