Spatial Correlation Between Physical Properties of Soil and Weeds in Two Management Systems

Schaffrath, Valter Roberto; Gonçalves, Antônio Carlos Andrade; Sousa, Ana; Tormena, Cássio Antônio

doi:10.1590/01000683rbcs20150568

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…This factor is very important in semiarid regions, since rainfall is scarce and soils with higher water retention are fundamental for plant establishment and development. This hypothesis can be strengthened when taking into account the results of Schaffrath et al (2015), which found a positive special correlation between weed biomass and soil microporosity in an agricultural field in Paraná state under a conventional soil management system using a cross-semivariogram. This is because soils with higher microporosity generally have higher clay content and, consequently, higher water retention.…”

Section: An Acad Brasmentioning

confidence: 99%

Weed spatial distribution as a function of soil properties in two distinct environments of the Brazilian semi-arid region

LESSA,

RODRIGUES,

SOUZA

et al. 2023

An. Acad. Bras. Ciênc.

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The present study aimed was to evaluate the spatial variability of weed species by means of phytosociological parameters and their correlations with the physicalchemical soil properties, under semiarid climate conditions. Weed phytosociology and soil characterization were carried out in two areas one newly deforested area covering 8.86 ha, and one experimental agricultural area covering 24.7 ha; both in the semi-arid region of Brazil. Weed and soil were sampled by following georeferenced grids in each area. Biomass and the total number of weed individuals, as well as soil properties, were mapped by the ordinary Kriging method. The predominant herbaceous plants in the newly deforested area were Hexasepalum teres and Digitaria insularis. The weed species that predominated in the agricultural area were Cyperus rotundus L., Euphorbia heterophylla L. and Herissantia Crispa (L.) Brizicky; the latter species outstanding for dry biomass (873.5g). Spatial dependence was observed for the predominant species, except for Digitaria insularis. The spatial distribution of these weeds was conditioned by soil K + contents in both areas, and by sand content for the experimental agricultural area. Therefore, these two soil attributes resulted key factors for weed infestation in this semi-arid region.

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Section: An Acad Brasmentioning

confidence: 99%

Weed spatial distribution as a function of soil properties in two distinct environments of the Brazilian semi-arid region

LESSA,

RODRIGUES,

SOUZA

et al. 2023

An. Acad. Bras. Ciênc.

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Geo-multivariate analysis of crop yield and soil properties of students industrial training farm in Ado Ekiti, Southwest Nigeria

Awe

Nurudeen

Ogunleye

et al. 2020

Archives of Agronomy and Soil Science

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Spatial correlation between soil and leaf macronutrients in semiarid Brazilian mango (Mangifera indica L.) fields

et al. 2021

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Understanding the relationship between the levels of nutrients in the soil and those found in the plant is of fundamental importance for site-specific fertility management in mango (Mangifera indica L.) crop fields. This study aimed to evaluate the spatial distribution of macronutrient contents both in the soil and in the leaf and their correlations in commercial mango orchards under semiarid region conditions and to delimit the management zones using soil and leaf data. The experiment was carried out in three commercial areas in San Francisco Valley, Brazil, cultivated with irrigated mango. Soil samples were collected in 0-0.2 and 0.2-0.4 m depths as well as leaf samples following sample grids. Ca, Mg, K, P, and N contents from soil and leaf samples were determined. Descriptive and geostatistics analyses were performed. Co-kriging was used for the delimitation of management zones. Positive spatial correlations were obtained between soil Ca2+ and leaf Ca contents (R2 = 0.80-0.93), soil K+ and leaf K contents (R2 = 0.35-0.61), and soil Mg2+ and leaf P contents (R2 = 0.51). Negative correlations were observed for soil Mg2+ and leaf Ca contents(R2 = 0.79-0.93) and soil Mg2+ and leaf K contents (R2 = 0.98). The soil 0-0.2 m depth had the greatest influence on mango Ca and K uptake. The negative correlation between soil Mg2+ and leaf Ca shows the competition existing in the plant uptake process. It was possible to delimit specific management zones using co-kriging for the three areas using soil and leaf data.

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Spatial Correlation Between Physical Properties of Soil and Weeds in Two Management Systems

Cited by 3 publications

References 30 publications

Weed spatial distribution as a function of soil properties in two distinct environments of the Brazilian semi-arid region

Weed spatial distribution as a function of soil properties in two distinct environments of the Brazilian semi-arid region

Geo-multivariate analysis of crop yield and soil properties of students industrial training farm in Ado Ekiti, Southwest Nigeria

Spatial correlation between soil and leaf macronutrients in semiarid Brazilian mango (Mangifera indica L.) fields

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