Abstract: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 moi… Show more
“…Penetration resistance is influenced entirely by soil moisture, as already demonstrated by several authors (Vaz et al 2011;Silva et al 2016), and there is a general trend of reduction (exponential) in penetration resistance with an increase in soil moisture, which is attributed to the lubricating effect of moisture on cone penetration. Consequently, to compare values measured under different moisture conditions and ensure reliable comparisons, the data obtained should be Engenharia Agrícola, Jaboticabal, v.40, n.4, p.462-472, jul./aug.…”
Penetration resistance can be determined directly in the field or in the laboratory. However, data obtained using the two methods are not directly comparable. Considering soil moisture influences penetration resistance, penetration resistance data obtained using the two methods can be corrected based on common moisture values. To enable comparison of the data, the measured data should be adjusted using mathematical models. Consequently, the objective of the present study was to compare soil penetration resistance values measured in a Red Latosol using a static penetrometer and a bench-top electronic penetrometer. The comparison was carried out using samples collected from different soil layers, based on moisture levels ranging from 0.15 to 0.28 kg kg-1. In addition, the reliability of some mathematical models was compared using benchpenetrometer data. Finally, the Busscher method and a new proposed method for moisture correction were tested. According to the comparison of results between the equipment, it is necessary to correct data using a linear type equation. The Jakobsen & Dexter (1987) model had the optimal performance (R 2 : 0.89; RMSD: 0.70). The new proposed corrected method was tested using several reference moisture values and it presented minor (< 0.30 RMSD) and stable errors.
“…Penetration resistance is influenced entirely by soil moisture, as already demonstrated by several authors (Vaz et al 2011;Silva et al 2016), and there is a general trend of reduction (exponential) in penetration resistance with an increase in soil moisture, which is attributed to the lubricating effect of moisture on cone penetration. Consequently, to compare values measured under different moisture conditions and ensure reliable comparisons, the data obtained should be Engenharia Agrícola, Jaboticabal, v.40, n.4, p.462-472, jul./aug.…”
Penetration resistance can be determined directly in the field or in the laboratory. However, data obtained using the two methods are not directly comparable. Considering soil moisture influences penetration resistance, penetration resistance data obtained using the two methods can be corrected based on common moisture values. To enable comparison of the data, the measured data should be adjusted using mathematical models. Consequently, the objective of the present study was to compare soil penetration resistance values measured in a Red Latosol using a static penetrometer and a bench-top electronic penetrometer. The comparison was carried out using samples collected from different soil layers, based on moisture levels ranging from 0.15 to 0.28 kg kg-1. In addition, the reliability of some mathematical models was compared using benchpenetrometer data. Finally, the Busscher method and a new proposed method for moisture correction were tested. According to the comparison of results between the equipment, it is necessary to correct data using a linear type equation. The Jakobsen & Dexter (1987) model had the optimal performance (R 2 : 0.89; RMSD: 0.70). The new proposed corrected method was tested using several reference moisture values and it presented minor (< 0.30 RMSD) and stable errors.
“…This finding suggests the need for long-term experiments and confirms the inertia of the Veneto region silty soil in response to management changes (Camarotto et al, 2018). Surprisingly, PR did not always reflect the BD pattern: PR was differentially affected by BD as a function of moisture and soil type (da Silva et al, 2016;Vaz, Manieri, de Maria, & Tuller, 2011). In contrast, the ERT survey highlighted good potential for detecting soil structural changes.…”
Conservation agriculture (CA) is an agronomic system, including no-tillage, cover crops and residue retention on the soil surface, which represents more sustainable management compared to conventional ploughing systems (CV). Conservation agriculture is widespread in some parts of the world (i.e. South America and the USA), whereas it is still developing in others (i.e. Europe). One of the main reasons for the slow European uptake of CA is low yield because of the worsening of soil physical quality, in particular increased compaction and reduced hydraulic permeability. The effects of CA on soil physical dynamics are poorly documented, particularly during the transition phase between CV and CA and for fine-textured soils. Therefore, in this study, the effects of CA on soil volumetric water content, bulk
“…This is because the use of fire to clean fields reduces soil humidity and increases its cohesion, hence increasing resistance to penetration. Under low humidity, soil resistance to penetration varies widely and can lead to soil-metal friction by soil cohesion and adhesion increases after moisture loss (Silva et al, 2016). Conventional and notillage areas showed penetration resistance increases at all depths and humidity reductions compared to the others.…”
Section: Soil Resistance To Penetration Retention Curve Physical Anmentioning
Soil compaction in agricultural areas has greatly increased in recent decades due to intensive farming practices, including short-cycle crops and machinery intensification. This study aimed to evaluate the impacts of management systems on the physical quality of a dystrophic Yellow Oxisol, in the Cerrado region of Brazil. Treatments consisted of five soil management systems, with five replications (native forest [control], slash-andburn agriculture, pasture, no-tillage, and conventional tillage). Data analysis was performed using a completely randomized experimental design. All systems were analyzed for soil density, macroporosity, microporosity, total porosity, hydraulic conductivity, infiltration, water retention curve, penetration resistance, and soil quality index (S index). The systems had significant effects on soil structure, and the evaluated properties responded well to changes promoted by them. No-tillage implementation raised soil resistance in the area previously damaged by intensive farming. Moreover, soils under pasture and slash-and-burn systems presented higher water retention in field capacity and higher S indexes, thus having a better structural quality.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.