Correlación Espacial Entre Malas Hierbas en Una Pradera Y Su Relación Con La Conductividad Eléctrica Aparente Del Suelo (Ce a )

Siqueira, Glécio Machado; Dafonte, Jorge Dafonte; Armesto, Montserrat Valcárcel

doi:10.1590/s0100-83582015000400002

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…The spherical model was the most adjusted one to the weed plants data, corroborating to other studies that describe this model as the most adjusted one with soil and plant data (Cambardella et al, 1994;Vieira, 2000;Chiba et al, 2010;Siqueira et al, 2015), excepting the Pure nugget effect diversity), with the exception of the total diversity that adjusted to the spherical model (Table 5). Several studies have reported that some weed species are aggregated or occur in reboilers, so the infestation mapping of the agricultural area enables located management application.…”

Section: Resultssupporting

confidence: 87%

“…Siqueira et al (2015) studying the variability of weed found a range between 40 and 210 m. The spatial dependence reason was calculated according to Cambardella et al (1994), was high for Chamaesyce sp., E. indica, B. pilosa, Simpson (D), Simpson diversity and McIntosh Diversity (RD = 0.0 to 25%), medium for C. echinatus and Total diversity (RD = 25-75%).…”

Section: Resultsmentioning

confidence: 97%

See 1 more Smart Citation

Spatial variability of weeds in an Oxisol under no-tillage system

Siqueira¹,

Silva²,

Aguiar³

et al. 2016

Afr. J. Agric. Res.

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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.

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Section: Resultssupporting

confidence: 87%

Section: Resultsmentioning

confidence: 97%

Spatial variability of weeds in an Oxisol under no-tillage system

Siqueira¹,

Silva²,

Aguiar³

et al. 2016

Afr. J. Agric. Res.

View full text Add to dashboard Cite

show abstract

“…In a given area, geostatistical techniques can identify properties that are treated as homogeneous but would need a differentiated management (Ribeiro et al, 2016). Moreover, by these techniques, soil properties can be understood, modelled, and mapped to identify specific management zones and reduce the effects of soil variability on crop yields (Siqueira et al, 2009;Chiba et al, 2010;Montanari et al, 2010;Carvalho et al, 2014;Zonta et al, 2014;Aquino et al, 2015;Montanari et al, 2015;Siqueira et al, 2015aSiqueira et al, , 2017.…”

Section: Introductionmentioning

confidence: 99%

Spatial Variability of Soil Fauna Under Different Land Use and Managements

Silva

Siqueira

Costa

et al. 2018

Rev. Bras. Ciênc. Solo

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Geostatistics allows the evaluation of the distribution pattern of data with high spatial variability in agricultural systems. This study aimed to evaluate the spatial variability of biological diversity indices of soil fauna under different land (agriculture and forest). Samples were collected in seven areas (millet, soybean, corn, eucalyptus, pasture crops, and preserved and disturbed Cerrado), in Maranhão state, Brazil. The soil fauna was caught trapped in pitfall traps, installed 3 m away from each other. In each area, 130 traps were maintained for seven days. After this period, they were removed and their content transferred to bottles and taken to the laboratory, where the insects were screened and identified at the level of orders and families. Eight indices were calculated, namely: individuals trap-1 day-1 , Jackknife richness estimator, the Simpson, McIntosh, Shannon, and total diversity, and Simpson dominance, and Pielou equitability indices. The spatial variability was derived from the semivariograms fitted to Gaussian, spherical, and exponential geostatistical models. Statistical analysis showed medium values of the coefficient of variation for millet, except for the indices individuals trap-1 day-1 and McIntosh diversity, which were considered high. The values of the correlation matrix were negative for some indices, suggesting an inverse relationship. For millet, corn, eucalyptus, disturbed Cerrado, and pasture areas, the Shannon diversity index exhibited a pure nugget effect. For the areas of millet, corn, disturbed Cerrado and pasture, the total diversity index was adjusted to the Gaussian model. The degree of spatial dependence was considered high for the individuals trap-1 day-1 and Pielou equitability indices for millet. Only for soybean and pasture similarity in the scaled semivariograms was observed for the spatial variability of the indices, indicating similarity of performance. Soil management and land use affect the patterns of soil fauna abundance, richness, and diversity. The presence of groups such as Araneae, Diplura, and Poduromorpha are related to ecological equilibrium, quality, and sustainability of the agricultural systems studied.

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Correlación Espacial Entre Malas Hierbas en Una Pradera Y Su Relación Con La Conductividad Eléctrica Aparente Del Suelo (Ce a )

Cited by 2 publications

References 9 publications

Spatial variability of weeds in an Oxisol under no-tillage system

Spatial variability of weeds in an Oxisol under no-tillage system

Spatial Variability of Soil Fauna Under Different Land Use and Managements

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