Soil Tillage Systems and Wheat Yield under Climate Change Scenarios

Servadio, P.; Bergonzoli, Simone; Beni, Claudio

doi:10.3390/agronomy6030043

Cited by 16 publications

(14 citation statements)

References 17 publications

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“…In particular, various studies have been conducted on the effect of soil physical properties on draft force. A field experiment was conducted to measure the specific draught and energy use under different tillage implements and soil conditions [5,6]. The results showed that the specific draught was the lowest for the moldboard plow; conversely, it was the highest in chisel plows, and increased with decreasing soil water content.…”

Section: Introductionmentioning

confidence: 99%

Development of a Real-Time Tillage Depth Measurement System for Agricultural Tractors: Application to the Effect Analysis of Tillage Depth on Draft Force during Plow Tillage

Kim

et al. 2020

Sensors

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The objectives of this study were to develop a real-time tillage depth measurement system for agricultural tractor performance analysis and then to validate these configured systems through soil non-penetration tests and field experiment during plow tillage. The real-time tillage depth measurement system was developed by using a sensor fusion method, consisting of a linear potentiometer, inclinometer, and optical distance sensor to measure the vertical penetration depth of the attached implement. In addition, a draft force measurement system was developed using six-component load cells, and an accuracy of 98.9% was verified through a static load test. As a result of the soil non-penetration tests, it was confirmed that sensor fusion type A, consisting of a linear potentiometer and inclinometer, was 6.34-11.76% more accurate than sensor fusion type B, consisting of an optical distance sensor and inclinometer. Therefore, sensor fusion type A was used during field testing as it was found to be more suitable for use in severe working environments. To verify the accuracy of the real-time tillage depth measurement system, a linear regression analysis was performed between the measured draft and the predicted values calculated using the American Society of Agricultural and Biological Engineers (ASABE) standards-based equation. Experimental data such as traveling speed and draft force showed that it was significantly affected by tillage depth, and the coefficient of determination value at M3-Low was 0.847, which is relatively higher than M3-High. In addition, the regression analysis of the integrated data showed an R-square value of 0.715, which is an improvement compared to the accuracy of the ASABE standard prediction formula. In conclusion, the effect of tillage depth on draft force of agricultural tractors during plow tillage was analyzed by the simultaneous operation of the proposed real-time tillage depth measurement system and draft force measurement system. In addition, system accuracy is higher than the predicted accuracy of ± 40% based on the ASABE standard equation, which is considered to be useful for various agricultural machinery research fields. In future studies, real-time tillage depth measurement systems can be used in tractor power train design and to ensure component reliability, in accordance with agricultural working conditions, by predicting draft force and axle loads depending on the tillage depth during tillage operations.

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Section: Introductionmentioning

confidence: 99%

Development of a Real-Time Tillage Depth Measurement System for Agricultural Tractors: Application to the Effect Analysis of Tillage Depth on Draft Force during Plow Tillage

Kim

et al. 2020

Sensors

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“…The lower Tp values recorded at NT5 may be a result of the influence of the machinery traffic and the non-tillage of the soil (Pragana et al, 2012) causing soil compaction, especially if conducted at high soil moisture content (Guimarães et al, 2013;Servadio et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

“…The impacts can be summarized as changes in the macroporosity Wendling et al, 2012); aggregates stability (Fontenele et al, 2009;Santos et al, 2012;Servadio et al, 2016); organic matter content (Pragana et al, 2012;Santos et al, 2012); soil-water infiltration, aeration and permeability (Fontana et al, 2016;Farias et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Physical Atributes of a Oxisol from the Brazilian Cerrado under Different Management Systems

Lobato¹,

Sampaio²,

Nóbrega³

et al. 2017

JAS

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The tillage systems induce changes in soil structure; modify the porous space, and influence soil water and air dynamics. In this sense, it is important to evaluate these impacts on soil physical quality according to different tillage system with distinct years of implementation. The physical properties of a Oxisol at the Brazilian Cerrado with distinct tillage conditions (conventional, no-till, and a native Cerrado) with different years were compared. The study was conducted at Novo Horizonte farm, at the Cerrado region of southwest Piauí. Soil samples were collected at 0.0-0.10, 0.10-0.20 and 0.20-0.30 m depth in different management systems: no-till with three and five years of implantation (NT3 and NT5, respectively); conventional till with five and nine years (CC5 and CC9, respectively); and a native cerrado area. Were analyzed the aggregate stability in water, soil bulk density, particle density, macro and microporosity, total porosity and total organic carbon. The years of implementation of the tillage systems caused changes in the soil physical properties, which were more evident in the surface layer. Although improved soil physical attributes were observed in no-till after five years of implantation, a longer evaluation time is required for the studied conditions.

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“…Meteorological factors such as rainfall, evaporation, temperature, wind speed and direction were measured by the meteorological station. The measurements of soil water content at different depths (10,20,40,60 and 100 cm) of soil profile were performed by the soil water sensors (TDR100, Campbell Scientific) and were recorded at intervals of 10 min in terms of volumetric water content obtained from the TDR signal through the universal calibration curve of Topp et al [29]. The phreatic water table was recorded continuously with a time step of 5 min by the groundwater observation well.…”

Section: Site Soil Sampling and Instrumentationmentioning

confidence: 99%

“…Soil water content is a key state variable in the terrestrial system as it interacts with various system components [6,7] and is of great importance in many investigations and applications pertaining to agriculture, hydraulic engineering, hydrology, meteorology and soil mechanics [8][9][10]. Climatic conditions [11], vegetation types [12][13][14], topography [15], soil properties [16,17], antecedent soil water (3) Seek a simplified special model for soil water estimation in the delta plain.…”

Section: Introductionmentioning

confidence: 99%

Measurement and Simulation of Soil Water Contents in an Experimental Field in Delta Plain

Hua

Wang

Chen

et al. 2017

Water

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Abstract:Variation in soil water content in the delta plain has its own particularity and is significant for agricultural improvement, the utilization of water resources and flood risk mitigation. In this study, experimental data collected from a plot of farmland located in the Taihu Basin were used to investigate the temporal and vertical variation of soil water content, as well as the effects of individual rainfall on soil water and shallow groundwater and their interaction. The results showed that the variation of soil water content is dependent on the comprehensive influence of soil hydraulic properties, meteorological factors and shallow groundwater and the correlation to the groundwater table is the strongest due to the significant capillary action in the delta plain. A saturated-unsaturated three-dimensional soil water numerical model was developed for the study area in response to rainfall and evapotranspiration. Scenario simulations were performed with different soil depths for soil water content and the error source was analyzed to improve the model. The average RMSE, RE and R 2 values of the soil water content at the five depths between the measured and simulated results were 0.0192 cm 3 ·cm −3 , 2.09% and 0.8119, respectively. The results indicated that the developed model could estimate vertical soil water content and its dynamics over time at the study site at an acceptable level. Moreover, further research and application to other sites in delta plains are necessary to verify and improve the model.

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Soil Tillage Systems and Wheat Yield under Climate Change Scenarios

Cited by 16 publications

References 17 publications

Development of a Real-Time Tillage Depth Measurement System for Agricultural Tractors: Application to the Effect Analysis of Tillage Depth on Draft Force during Plow Tillage

Development of a Real-Time Tillage Depth Measurement System for Agricultural Tractors: Application to the Effect Analysis of Tillage Depth on Draft Force during Plow Tillage

Physical Atributes of a Oxisol from the Brazilian Cerrado under Different Management Systems

Measurement and Simulation of Soil Water Contents in an Experimental Field in Delta Plain

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