Use of penetrometers in agriculture: a review

Moraes, Moacir Tuzzin de; Silva, Vanderlei Rodrigues da; Zwirtes, Anderson Luiz; Carlesso, Reimar

doi:10.1590/s0100-69162014000100019

Cited by 23 publications

(18 citation statements)

References 51 publications

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“…The micropores were determined by the difference between the 6 and 1500 kPa tensions. The penetrometers used in the field presented operational problems related to the difficulty of maintaining a constant penetration rate (Moraes, Silva, Zwirtes, Anderson, & Carlesso, 2014) and the variation of soil water content in the various layers (Chancellor, 1977). Due to the difficulties encountered in determining soil mechanical resistance to field penetration, this should preferably be determined in the laboratory using an electronic penetrometer.…”

Section: Methodsmentioning

confidence: 99%

Root growth and crop performance of soybean under chemical, physical, and biological changes after subsoiling

et al. 2020

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Chemical, physical and biological soil attributes can facilitate soybean root growth in greater volume and depth in the soil, which can minimize yield reduction caused by water deficit. Soil management can contribute positively or negatively to these soil attributes. The aim of this work was to evaluate the root growth and crop performance of soybean, in response to chemical, physical and biological changes after subsoiling at different depths. At the R5 phenological stage, trenches were made for sampling and soil collection for chemical, physical and biological analysis and root growth was carried out. At V5, V7, R2 and R5 stages, plants were collected to evaluate height, leaf area and dry mass. At V5, stage number and dry mass of the nodules were evaluated. Subsoiling increased pH and Ca, and decreased Al in the soil, resulted in higher relative density and did not affect in mechanical penetration resistance compared to non-subsoiled soil. Basal respiration and soybean nodulation were higher in the subsoiled soil. Up to 15 cm depth, there were 87.91% of the total root dry mass and 78.79% of the total root volume. Initial and final plant growth were the same in subsoiled and non-subsoiled soil. Number of nodules in the subsoiled soil was 28% higher than in the non-subsoiled soil. Under these study conditions, subsoiling provides lower root growth but benefits grain yield.

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Section: Methodsmentioning

confidence: 99%

Root growth and crop performance of soybean under chemical, physical, and biological changes after subsoiling

et al. 2020

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“…This variability of SPR in field is linked to several controlling variables, which, as described by the review study of MORAES et al (2014a), include soil bulk density (OTTO et al, 2011), soil water content (ASSIS et al, 2009;MORAES et al, 2012), water pressure in the pores (KIM et al, 2008), particle size distribution (VAZ et al, 2011), clay content (MOLIN et al, 2006), and soil-metal friction (DEXTER et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Modeling and correction of soil penetration resistance for variations in soil moisture and soil bulk density

Silva

Bianchini

Cunha³

2016

Eng. Agríc.

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This study aimed to describe the behavior of models for adjusting data of soil penetration resistance for variations in soil moisture and soil bulk density. The study was carried out in Lucas do Rio Verde, MT, Brazil in a typic dystrophic red-yellow Latosol (Oxisol) containing 0.366 kg kg −1 of clay. Soil penetration resistance measurements were conducted in the soil moistures of 0.33 kg kg −1 , 0.28 kg kg −1 , 0.25 kg kg −1 and 0.22 kg kg −1 . Soil penetration resistance behavior due to variations in soil moisture and soil bulk density was assessed by estimating the soil resistance values by non-linear models. There was an increase of the soil penetration resistance values as soil was losing moisture. For the same edaphic condition studied, small differences in the data of soil bulk density affect differently the response of soil resistance as a function of moisture. Both soil bulk density and soil moisture are essential attributes to explain the variatio ns in soil penetration resistance in the field. The good representation of the critical soil bulk density curve as a limiting compression indicator requires the proper choice of the restrictive soil resistance value for each crop.KEY WORDS: soil compaction, pedotransfer functions, cone index. MODELAGEM E CORREÇÃO DA RESISTÊNCIA DO SOLO À PENETRAÇÃO PARA VARIAÇÕES NA UMIDADE E DENSIDADE DO SOLORESUMO: O presente trabalho buscou descrever o comportamento de modelos para ajustes dos dados de resistência do solo à penetração para variações na umidade e na densidade do solo. O trabalho foi realizado no município de Lucas do Rio Verde-MT, em Latossolo Vermelho-Amarelo distrófico típico contendo 0,366 kg kg -1 argila. As determinações da resistência do solo à penetração ocorreram nas umidades de solo de 0,33 kg kg -1 , 0,28 kg kg -1 , 0,25 kg kg -1 , 0,22 kg kg -1 . O comportamento da resistência do solo à penetração, em função de variações na umidade e densidade do solo, foi avaliado pela estimativa nos valores de resistência do solo por modelos não lineares. Houve aumento dos valores de resistência do solo à penetração, à medida que o solo foi perdendo umidade. Para uma mesma condição edáfica estudada, pequenas variações nos dados de densidade do solo afetam diferentemente a resposta da resistência do solo em função da umidade. A densidade do solo é atributo imprescindível para explicar as variações na resistência do solo à penetração em campo, tanto quando a umidade do solo. A boa representação da curva de densidade crítica do solo como indicador de compactação limitante requer a escolha adequada do valor de resistência do solo restritivo para cada cultura. PALAVRAS -CHAVE:compactação do solo, funções de pedotransferência, índice de cone.

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“…A very common way to assess the state of soil compaction is by means of soil penetration resistance (PR) with a cone penetrometer (Moraes et al, 2013(Moraes et al, , 2014a, due to its practicality, speed, and low cost. However, the variation in PR according to change in bulk density (Bd) is influenced by soil water content, which can be a source of misinterpretation (Moraes et al, 2013(Moraes et al, , 2014a. Another method of assessing the state of soil compaction is by the compression curve, from which the preconsolidation pressure (σp) and compression index (CI) can be determined (Saffih-Hdadi et al, 2009;An et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Modeling of Soil Load-Bearing Capacity as a Function of Soil Mechanical Resistance to Penetration

Ortigara

Moraes

Debiasi

et al. 2015

Rev. Bras. Ciênc. Solo

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estimation of soil load-bearing capacity from mathematical models that relate preconsolidation pressure (σp) to mechanical resistance to penetration (PR) and gravimetric soil water content (U) is important for defining strategies to prevent compaction of agricultural soils. Our objective was therefore to model the σp and compression index (CI) according to the PR (with an impact penetrometer in the field and a static penetrometer inserted at a constant rate in the laboratory) and U in a Rhodic Eutrudox. The experiment consisted of six treatments: no-tillage system (NT); NT with chiseling; and NT with additional compaction by combine traffic (passing 4, 8, 10, and 20 times). Soil bulk density, total porosity, PR (in field and laboratory measurements), U, σp, and CI values were determined in the 5.5-10.5 cm and 13.5-18.5 cm layers. Preconsolidation pressure (σp) and CI were modeled according to PR in different U. The σp increased and the CI decreased linearly with increases in the PR values. The correlations between σp and PR and PR and CI are influenced by U. From these correlations, the soil load-bearing capacity and compaction susceptibility can be estimated by pr readings evaluated in different u.

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Use of penetrometers in agriculture: a review

Cited by 23 publications

References 51 publications

Root growth and crop performance of soybean under chemical, physical, and biological changes after subsoiling

Root growth and crop performance of soybean under chemical, physical, and biological changes after subsoiling

Modeling and correction of soil penetration resistance for variations in soil moisture and soil bulk density

Modeling of Soil Load-Bearing Capacity as a Function of Soil Mechanical Resistance to Penetration

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