Spatial Autocorrelation of Physical Attributes of an Oxisol

Oliveira, Job Teixeira de; Oliveira, Rubens Alves de; Cunha, Fernando França da; Santos, E. S. dos

doi:10.1590/1809-4430-eng.agric.v41n2p255-262/2021

Cited by 5 publications

(1 citation statement)

References 10 publications

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“…The spatial distribution of indicators can contribute to understanding the processes involved in each phenomenon to be studied. Such analysis allows the study of characteristics and differences of each territorial space beyond a simple geographical view, encompassing purpose-built production space (Oliveira et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Spatial Variability of Ecophysiological and Production Components in Irrigated Noble Garlic

Oliveira

Almeida

et al. 2022

Eng. Agríc.

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Among agricultural components, crop ecophysiological parameters play an essential role in garlic growth and yield. This study aimed to characterize the structure and spatialization of garlic crop parameters, evaluating spatial correlations among yield, lateral shoot growth, and plant ecophysiological components. These consisted of intercellular CO2 concentration, stomatal conductance, transpiration, water-use efficiency, carboxylation efficiency, photosynthetically active radiation, relative humidity around leaves, relative humidity in leaves, air temperature, leaf temperature, vapor pressure deficit, and water content in the air and leaves. Our results showed that irrigated purple garlic yield, lateral shoot growth, and ecophysiological components are spatially dependent. A cross-semivariogram between plant ecophysiological parameters showed negative spatial correlations and spatial dependence, with a coefficient of determination (r 2 ) above 0.730. These findings indicate a close correlation between garlic yield and lateral shoot growth with the ecophysiological parameters studied. In short, purple garlic production had a high inter-spatial correlation with plant transpiration and water contents in the air and leaves.

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Section: Introductionmentioning

confidence: 99%

Spatial Variability of Ecophysiological and Production Components in Irrigated Noble Garlic

Oliveira

Almeida

et al. 2022

Eng. Agríc.

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Spatial variability of dendrometric parameters in a native tree Mabea fistulifera Mart. and its relationship with soil physical properties

et al. 2023

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Mabea fistulifera Mart. (common name: canudo-de-pito) belongs to the Euphorbiaceae family and is a native tree species in Brazil showing a high potential to recover degraded lands. This study aimed to evaluate the distribution and spatial correlation between the dendrometric parameters of the M. fistulifera plants and the physical attributes of the soil through geostatistics. The study was carried out at the Paulista State University (UNESP), in the city of Selvíria, MS, Brazil, in a typical dystrophic Red Oxisol with a clayey texture. The following properties were analyzed: for soil, penetration resistance, gravimetric moisture, particle density, and, for plants, circumference and diameter at breast height (measured at 130 cm above the ground), tree height, and total volume of the tree. An experiment grid was introduced with 35 sample points spaced 13 m x 13 m. Two soil samples were taken at each point, at 0.00 - 0.10 m and 0.10 - 0.20 m depth. Descriptive data analysis and spatial dependence analysis were carried out through semivariogram adjustments and kriging maps. The dendrometric properties of the species M. fistulifera and the soil gravimetric moisture content showed spatial dependence. The spherical semivariogram model best explained the spatial structure of circumference at breast height, diameter at breast height, tree volume, and soil gravimetric moisture. There was an emphasis on the correlation between the total volume of the tree as a function of the diameter at breast height, showing a moderate spatial dependence. Furthermore, the tree diameter at breast height proved to be a good indicator for determining the total height of the M. fistulifera tree.

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Spatial autocorrelation of soybean plant populations and physical attributes of Oxisol

Oliveira,

Baio,

Silva

et al. 2024

Rev. bras. eng. agríc. ambient.

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Among the necessary phytotechnical adjustments, the correct recommendation of the plant population of each soybean cultivar is of paramount importance for success in crop production. Thus, the objective of this study was to analyze the distribution and spatial autocorrelation of the soybean plant population according to the spatial variability of the physical and chemical attributes of Oxisol in the Brazilian Cerrado region. The attributes studied were plant population, soybean grain yield, apparent soil electrical conductivity, soil organic matter content, cation exchange capacity, hydrogenionic potential, and clay content in the soil. The plant population varied inversely as a function of apparent soil electrical conductivity. The areas with the highest values of apparent soil electrical conductivity, soil organic matter content, cation exchange capacity, and clay content had the lowest plant populations. Soybean yield was not influenced by increase or decrease in the plant population. Thus, it is economically viable to plant with lower plant density to improve the farmer’s profit margin.

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Spatial Autocorrelation of Physical Attributes of an Oxisol

Cited by 5 publications

References 10 publications

Spatial Variability of Ecophysiological and Production Components in Irrigated Noble Garlic

Spatial Variability of Ecophysiological and Production Components in Irrigated Noble Garlic

Spatial variability of dendrometric parameters in a native tree Mabea fistulifera Mart. and its relationship with soil physical properties

Spatial autocorrelation of soybean plant populations and physical attributes of Oxisol

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