Determinação da densidade relativa do solo por uma função de pedotransferência para a densidade do solo máxima

Marcolin, Clóvis Dalri; Klein, Vilson Antônio

doi:10.4025/actasciagron.v33i2.6120

Cited by 16 publications

(11 citation statements)

References 9 publications

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“…These results can be explained by the low clay content in the soil, providing a naturally high density (Marcolin and Klein, 2011). Moreover, consecutive preparation operations of the soil for the rice crop, often under conditions of high water content in the soil, favors the soil compression process (Moraes et al, 2013), raising the BD and thus reducing the PT.…”

Section: Discussionmentioning

confidence: 99%

Physical Properties and Crop Management for Corn in an Albaqualf

Giacomeli

Marchesan

Oliveira

et al. 2017

Rev. Bras. Ciênc. Solo

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Rice monoculture in lowlands can cause problems for management practices in crop fields, for example, in weed control. For this reason, corn in rotation with irrigated rice in lowlands may be advantageous, despite problems with soil compaction and water excess. The objective of this study was to evaluate soil physical properties and corn performance in soil management systems in an Albaqualf soil (lowlands). Two experiments were conducted in the field, in the 2013/14 and 2014/15 crop seasons. The experimental design was randomized blocks with two factors. There were three levels for the first factor, consisting of soil management practices: soil chiseling 45 days before sowing to a depth of 0.3 m; conventional tillage with two diskings to a depth of 0.1 m and subsequent leveling of the soil; and no-till. The second factor was composed of two levels: sowing on raised seedbeds, and without raised seedbeds. The soil parameters of bulk density, total porosity, macroporosity, microporosity, volumetric moisture, and soil resistance to mechanical penetration (RP) were evaluated. The corn parameters were plant height, shoot dry matter, leaf area, height of the first ear of corn, grains per ear, and grain yield. Soil chiseling resulted in lower RP and higher macroporosity in the 0.1-0.2 and 0.2-0.3 m layers. In raised seedbeds, the 0.00-0.05, 0.05-0.10, and 0.10-0.20 m layers were lower in RP and bulk density. Moreover, higher soil macroporosity was observed in relation to the treatment without raised seedbeds. In general, the highest grain yields were found in the treatments with lower RP and higher macroporosity in the root system region. Increased porosity accelerated water drainage in the soil, reducing the time that soil airspace was filled with water, which is a limiting factor for root development. In Albaqualf soils, planting corn in chiseled soil provides higher corn yields compared to conventional tillage, and planting corn on raised seedbeds provides higher corn yields compared to the lack of raised seedbeds.

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Section: Discussionmentioning

confidence: 99%

Physical Properties and Crop Management for Corn in an Albaqualf

Giacomeli

Marchesan

Oliveira

et al. 2017

Rev. Bras. Ciênc. Solo

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“…The crop management followed the recommendations of EMBRAPA TA B L E 1 Sites, growing seasons, Köppen's climate classification, sowing dates, cultivars and their maturity groups, and plant population (PP) for DSSAT-CSM-CROPGRO-Soybean calibration and evaluation phases (Table S1; Marcolin & Klein, 2011;Reichert et al, 2009).…”

Section: Field Experimentsmentioning

confidence: 99%

Uncertainty assessment of soya bean yield gaps using DSSAT‐CSM‐CROPGRO‐Soybean calibrated by cultivar maturity groups

Teixeira

Battisti

Sentelhas

et al. 2019

J Agronomy Crop Science

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Soya bean yield gap can be caused by different factors resulting in uncertainties when the objective is to use such information for farm decision‐making and reference yield determination. Thus, this study aimed to quantify the soya bean yield gap for four sites, located in Southern and Midwestern Brazil, as well as the uncertainties of that related to cultivars, sowing dates, soil types and reference yields. The crop simulation model DSSAT‐CSM‐CROPGRO‐Soybean was calibrated for cultivars with similar maturity groups, based on the data obtained from the best farmers at the county level. The yield gap by water deficit (YGWD) was obtained through the difference between potential and attainable yields, and that one caused by sub‐optimum crop management (YGCM) by subtracting actual yield of each county, obtained from official statistics between 1989/90 and 2014/15 growing seasons, from the estimated attainable yield. The yield was simulated using four sowing dates, three soil types and two soya bean maturity groups by county. The reference yield uncertainty was quantified using yield reference from crop model and regional winners of the soya bean yield context, conducted by CESB (Brazilian Soybean Strategic Committee), for the growing seasons from 2013/14 to 2015/16. The crop model showed a good agreement between measured and simulated crop development and growth using calibration by maturity group, with low root mean square error (347 kg/ha). Southern sites had a mean YGWD of 1,047 kg/ha, while in the Midwest, it was lower than 100 kg/ha. The YGCM was 1,067, 528, 984 and 848 kg/ha, respectively, for Castro, PR, Mamborê, PR, Montividiu, GO and Primavera do Leste, MT, representing the opportunity for yield gain when having the best farmers as reference. The maturity groups, sowing dates and soil types showed to be an important source of uncertainty for yield gap determination, being recommended to investigate the farms in detail for an appropriate quantification. The reference yield showed expressive uncertainties, with some farmers presenting conditions to increase their soya bean yields by more than 3,000 kg/ha, when considering as reference the yields obtained by the winners’ farmers. These results show that uncertainties must be reduced when assessing farm yield gaps, in order to ensure that expected rate of soya bean yield growth could be reached by adopting the same technologies from CESB winners and best farmers in the county as a reference.

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“…Such increase of density due to management is directly linked to the reduction of macroporosity in subsurface layers (Viana, Batista, Tormena, Costa, & Inoue, 2011), which corroborates the fact that the reduction in macroporosity is inversely proportional to the increase in soil density. The relative soil density (Figure 4), for being a ratio between soil density in the worst state of compaction and soil density in the natural state, clearly reflects the variations of soil density in the natural state (Marcolin & Klein, 2011). It can be noted that soil density in the natural state, when high, may limit root development and the more degraded the soil structure, the more the relative soil density will approach the value 1, which reflects the worst density possible.…”

Section: Resultsmentioning

confidence: 96%

Actual and Relative Soil Air Permeability as Soil Physical Quality Index

Carvalho¹,

Brito²,

Matos³

et al. 2019

JAS

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Developing indices to evaluate soil physical quality can facilitate diagnosis and decision-making. In this context, intrinsic soil air permeability (Kair) is a physical parameter very sensitive to structural changes due to soil management. However, it is important to establish a standard Kair, considering a reference soil physical state. Thus, the present study proposes to create an index called relative soil air permeability (Kairr), taking as reference the physical state of maximum bulk density, obtained by normal Proctor test. Kairr is the ratio between compacted soil air permeability (Kairc) and actual soil air permeability (Kair). Kairr was evaluated using disturbed and undisturbed samples of a Latossolo and a Planossolo. The experimental design was completely randomized, with four treatments (T1-Latossolo 0-0.1 m; T2-Latossolo 0.1-0.2 m; T3-Planossolo 0-0.1 m and T4-Planossolo 0.1-0.2 m) and eight replicates. Kairr was equal to 0.1032 and 0.3547 in the Latossolo and to 0.4115 and 0.1923 in the Planossolo, in the 0-0.1 and 0.1-0.2 m layers, respectively. These characteristic values observed in both soils and layers are due to the management adopted in the area. In Latossolo, the use of medium harrow has made the 0.1-0.2 m layer more restrictive to air movement, whereas the Planossolo showed lower values of relative soil air permeability in the 0-0.1 m layer due to animal grazing, which has greater impact on the superficial portion of the soil.

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Determinação da densidade relativa do solo por uma função de pedotransferência para a densidade do solo máxima

Cited by 16 publications

References 9 publications

Physical Properties and Crop Management for Corn in an Albaqualf

Physical Properties and Crop Management for Corn in an Albaqualf

Uncertainty assessment of soya bean yield gaps using DSSAT‐CSM‐CROPGRO‐Soybean calibrated by cultivar maturity groups

Actual and Relative Soil Air Permeability as Soil Physical Quality Index

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