Indicadores hídrico-mecânicos de compactação do solo e crescimento de plantas

Gubiani, Paulo Ivonir; Reichert, José Miguel; Reinert, Dalvan José

doi:10.1590/s0100-06832013000100001

Cited by 31 publications

(25 citation statements)

References 49 publications

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“…Similarly to what is seen for the S index proposed by Dexter (2004) and discussed by De Jong van Lier (2014), Brazil leads the world ranking in number of published research papers on r ll (Gubiani et al, 2013a). This indicates a large number of human resources involved in determining the r ll , and therefore not engaged in studying fundamental physical properties, how to model them, and, based on that, how to make sound predictions on the functioning of the soil-plant-atmosphere system.…”

Section: Introductionsupporting

confidence: 65%

“…Those who do show low correlation, as found in a wide literature review (Gubiani et al, 2013a), as well as in an experimental corroboration with eight maize crop cycles (Gubiani et al, 2013b).…”

Section: The Limiting Water Contents Their Coherence and Parametrizamentioning

confidence: 73%

“…Since then, what has been done as an approximation of calibration is not much more than verifying the dependence between r ll and the soil bulk density. The few tests of the correlation between r ll and crop yields, as described by Gubiani et al (2013a), in most cases refuted it, as also reported by Gubiani et al (2013b). Further research conducted with the purpose of revealing the relationship between r ll and soil bulk density or compaction, without questioning the limiting values or testing the sensitivity of r ll to these values will not add knowledge and should be discouraged.…”

Section: Final Considerationsmentioning

confidence: 84%

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Beyond the “Least Limiting Water Range”: Rethinking Soil Physics Research in Brazil

Lier

Gubiani

2015

Rev. Bras. Ciênc. Solo

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As opposed to objective definitions in soil physics, the subjective term "soil physical quality" is increasingly found in publications in the soil physics area. A supposed indicator of soil physical quality that has been the focus of attention, especially in the Brazilian literature, is the Least Limiting Water Range (R LL ), translated in Portuguese as "Intervalo Hídrico Ótimo" or IHO. In this paper the four limiting water contents that define R LL are discussed in the light of objectively determinable soil physical properties, pointing to inconsistencies in the R LL definition and calculation. It also discusses the interpretation of R LL as an indicator of crop productivity or soil physical quality, showing its inability to consider common phenological and pedological boundary conditions. It is shown that so-called "critical densities" found by the R LL through a commonly applied calculation method are questionable. Considering the availability of robust models for agronomy, ecology, hydrology, meteorology and other related areas, the attractiveness of R LL as an indicator to Brazilian soil physicists is not related to its (never proven) effectiveness, but rather to the simplicity with which it is dealt. Determining the respective limiting contents in a simplified manner, relegating the study or concern on the actual functioning of the system to a lower priority, goes against scientific construction and systemic understanding. This study suggests a realignment of the research in soil physics in Brazil with scientific precepts, towards mechanistic soil physics, to replace the currently predominant search for empirical correlations below the state of the art of soil physics.

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Section: Introductionsupporting

confidence: 65%

Section: The Limiting Water Contents Their Coherence and Parametrizamentioning

confidence: 73%

Section: Final Considerationsmentioning

confidence: 84%

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Beyond the “Least Limiting Water Range”: Rethinking Soil Physics Research in Brazil

Lier

Gubiani

2015

Rev. Bras. Ciênc. Solo

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“…bras., Brasília, v.51, n.11, p.1890-1898, nov. 2016 DOI: 10.1590/S0100-204X2016001100011 Betz et al, 1998;Tormena et al, 1999;Wu et al, 2003;Lapen et al, 2004;Leão et al, 2006;Neményi et al, 2006). Beutler et al (2007) (Gubiani et al, 2013b;Jong van Lier & Gubiani, 2015;Cecagno et al, 2016). Jong van Lier & Gubiani (2015) não recomendaram seu uso como indicador da qualidade física do solo, pois não abrangeu condições de contorno fenológicas e pedológicas comuns, e atribuíram sua frequência de uso a sua facilidade de obtenção.…”

Section: Introductionunclassified

Variabilidade espacial do intervalo hídrico ótimo de solos cultivados em sistema plantio direto

Klein

Graebin

Bortolanza

et al. 2016

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi avaliar a acurácia das regressões que definem os limites do intervalo hídrico ótimo e a validade do uso deste indicador ao se considerar a variabilidade espacial de lavouras sob sistema plantio direto. Foram coletadas 100 amostras de solo com estrutura preservada, em áreas com dimensões de 10x10 m, em Latossolo Vermelho distrófico, Nitossolo Vermelho distroférrico e Latossolo Vermelho aluminoférrico, manejados sob sistema plantio direto. Determinaram-se porosidade de aeração (0,10 m 3 m -3 ), capacidade de campo (potencial de -0,006 MPa), ponto de murcha permanente (potencial de -1,5 MPa) e resistência mecânica do solo à penetração crítica (2 MPa). As regressões que descreveram a capacidade de campo tiveram os menores coeficientes de determinação, enquanto as que descreveram a porosidade de aeração, o ponto de murcha permanente e a resistência mecânica do solo à penetração apresentaram os maiores valores. As regressões que definem o limite da capacidade de campo não são acuradas em descrever a variação na umidade volumétrica do solo por meio da densidade do solo, e os solos avaliados apresentam elevada variabilidade espacial para o intervalo hídrico ótimo.Termos para indexação: capacidade de campo, ponto de murcha permanente, porosidade de aeração, resistência mecânica do solo à penetração. Spatial variability of the least limiting water range of soils under a no-tillage systemAbstract -The objective of this work was to evaluate the regressions that define the least limiting water range limits and the validity of using this indicator considering the spatial variability of crops under a no-tillage system. One hundred undisturbed soil samples were collected in areas with dimensions of 10x10 m, in two different Oxisols and an Ultisol managed under no-tillage. Air-filled porosity (0.10 m 3 m -3), field capacity (potential of -0.006 MPa), permanent wilting point (potential of -1.5 MPa), and soil mechanical resistance (2 MPa) were determined. The regressions that described field capacity had the lowest coefficients of determination, whereas those that described air-filled porosity, permanent wilting point, and soil mechanical resistance to penetration showed the highest values. Regression adjustments that define field capacity limits are not accurate in explaining variation on volumetric soil water content through bulk density, and the evaluated soils show high spatial variability regarding the least limiting water range.

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“…Researches on compaction interference in agricultural productivity are numerous, regarding soil physical properties and root distribution and growth (CAVALLINI et al, 2010;SECCO et al, 2009;Silva et al, 2009;GUBIANI et al, 2013). Soil compaction can also influence agricultural machinery and implement performances, promoting an expansion in potency demand for traction (DRESCHER et al, 2011;MENTGES et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Prototype for soil mechanical resistance measurement with chisel plow automated control

Machado¹,

Lanças

2016

Eng. Agríc.

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In Brazil, there are several available models and systems to measure soil compaction; however, the data generated by such equipment have to be processed and interpreted, making the process expensive. Our study aimed to evaluate a prototype of instrumented rods to identify soil compacted layers and control chiseling depth, and compared it to a conventional system at a fixed depth of 0.35 m. In order to compare them, we assessed the following parameters: hourly fuel consumption, operational fuel consumption, drawbar power, average power, average speed, slipping, tractor effective field capacity and response time. Our results showed that mechanical chiseling at variable depths reduced in 26% the operational fuel consumption and increased in 14% the effective field capacity. Furthermore, the prototype of chisel plow automated control generated maps displaying spatial variability of soil mechanical resistance with resolution, sampling density and high operating capacity.

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Indicadores hídrico-mecânicos de compactação do solo e crescimento de plantas

Cited by 31 publications

References 49 publications

Beyond the “Least Limiting Water Range”: Rethinking Soil Physics Research in Brazil

Beyond the “Least Limiting Water Range”: Rethinking Soil Physics Research in Brazil

Variabilidade espacial do intervalo hídrico ótimo de solos cultivados em sistema plantio direto

Prototype for soil mechanical resistance measurement with chisel plow automated control

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