Análise estatística exploratória e variabilidade da densidade do solo em um perfil de latossolo amarelo coeso do tabuleiros costeiros da Bahia

Filho, José Fernandes; Oliveira, Áureo Silva de; Lopes, Leonardo da Costa; Vellame, Lucas Melo

doi:10.1590/s1413-70542006000200002

Cited by 8 publications

(5 citation statements)

References 6 publications

(2 reference statements)

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“…in the subsurface (Ma2, Ma3), lognormal distribution was observed, with increased soil compaction in the second and third layers, in agreement with Souza et al (2001), Carvalho et al (2002) and Melo Filho et al (2006. in conservation tillage systems, the action of roots, macro and micro-organisms promoted a good macropore volume, and the mulch of crop residues on the surface retained soil moisture (lima et al, 2006).…”

Section: Methodssupporting

confidence: 54%

“…the average values were 1.64 kg dm -3 (Bd1), 1.68 kg dm -3 (Bd2) and 1.67 kg dm -3 (Bd3), following a positive linear trend in relation to the increase in soil depth, corroborating Souza et al (2001) and Carvalho et al (2002), who reported an increased density in deeper layers, due to the reduced content of organic matter, and in disagreement with Grego &Vieira (2005) andMelo Filho et al (2006), who found a decreasing gradient. the first pair (FdM x Ma1) indicated an inverse function of cause and effect, i.e., the lower the macroporosity, in the 0.00-0.10 m layer, the greater is FdM.…”

Section: Methodssupporting

confidence: 49%

“…thus, the distribution of density values was not logical as they did not increase in the deeper layers, in disagreement with Souza et al (2001), Carvalho et al (2002) and Melo Filho et al (2006. therefore, this fact may have contributed to a reduction of FdM, which did not reach, despite the use of irrigation, the full expression of the yield capacity of the maize hybrid p30F80.…”

Section: Methodsmentioning

confidence: 87%

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Spatial and linear correlations between soil and corn

Chioderoli¹,

Mello

Noronha³

et al. 2012

Rev. Bras. Ciênc. Solo

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SUMMarYthe technologies setting at agricultural production system have the main characteristics the vertical productivity, reduced costs, soil physical, chemical and biological improvement to promote production sustainable growth. thus, the study aimed to determine the variability and the linear and special correlations between the plant and soil attributes in order to select and indicate good representation of soil physical quality for forage productivity. in the growing season of 2006, on the Fazenda Bonança in pereira Barreto (Sp), the productivity of autumn corn forage (FdM) in an irrigated no-tillage system and the soil physical properties were analyzed. the purpose was to study the variability and the linear and spatial correlations between the plant and soil properties, to select an indicator of soil physical quality related to corn forage yield. a geostatistical grid was installed to collect soil and plant data, with 125 sampling points in an area of 2,500 m 2 . the results show that the studied properties did not vary randomly and that data variability was low to very high, with well-defined spatial patterns, ranging from 7.8 to 38.0 m. on the other hand, the linear correlation between the plant and the soil properties was low and highly significant. the pairs forage dry matter versus microporosity and stem diameter versus bulk density were best correlated in the 0-0.10 m layer, while the other pairs -forage dry matter versus macro -and total porosity -were inversely correlated in the same layer. However, from the spatial point of view, there was a high inverse correlation between forage dry matter with microporosity, so that microporosity in the 0-0.10 m layer can be considered a good indicator of soil physical quality, with a view to corn forage yield. index terms: soil physical properties, soil management, geostatistics, no-tillage, forage crops.

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Section: Methodssupporting

confidence: 54%

Section: Methodssupporting

confidence: 49%

Section: Methodsmentioning

confidence: 87%

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Spatial and linear correlations between soil and corn

Chioderoli¹,

Mello

Noronha³

et al. 2012

Rev. Bras. Ciênc. Solo

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“…Melo Filho et al (2006) found BD values varying from 1.44 to 1.73 kg dm -3 in the profile of a cohesive "Latossolo Amarelo" (Oxisol) at a depth greater than 0.40 m, with increasing values in layers rich in sand content and that, consequently, higher PR values.…”

Section: Resultsmentioning

confidence: 99%

Spatial distribution of physical attributes of an Ultisol under papaya crop

Lima

Sturião

Gontijo³

et al. 2018

Com. Sci.

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The successful development of the root system of plants depends on the favorable conditions of soil physical attributes. The objective of this work was to study the spatial variability of physical attributes in an Ultisol cultivated with papaya. The soil was prepared mechanically plowing, harrowing, sulcal and subsoiler. In the center of the crop field was built a sampling grid with points spaced 5.7 m, totalizando129 georeferenced points. The soil samples at two depths (0 - 0.20 m, 0.20 - 0.40 m) were collected for four months after transplantation, to determine the total porosity (TP), soil moisture (Um), soil bulk density (BD) and soil penetration resistance in the planting row (PRPR) and in the traffic machines rows (PRRow). The soil penetration resistance in the planting row and in the traffic machines row was determined. The BD1 and BD2 showed the lowest CV values, and the data were fitted to the exponential and spherical models, respectively, with spatial dependence ranges of 20 and 28 m. At the layer of 0-0.20 m depth, the attributes showed the same spatial distribution pattern. At the layer of 0-0.20 m depth, the soil penetration resistance showed 7.5 times greater in the traffic machines region (rw spacing) than the value found in the planting row.

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“…Dentre as propriedades físicas, deve-se salientar que a densidade do solo possui estreita relação com outros atributos físicos, tais como a porosidade total, macroporosidade, microporosidade, condutividade hidráulica e a resistência à penetração, os quais são de suma importância para o desenvolvimento da planta (Kiehl, 1979;Foloni et al, 2003;Mercante et al, 2003;Secco et al, 2005;Mello Filho et al, 2006;Mendes et al, 2006;Montanari et al, 2010Montanari et al, , 2011.…”

Section: Introductionunclassified

Correlação linear e espacial entre a produtividade e o teor de proteína bruta do guandu anão e os atributos de um Latossolo

Basso

Andreotti

Carvalho

et al. 2011

Agraria

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RESUMOCom o uso do sistema de plantio direto, os atributos físicos e químicos do solo são constantemente alterados, refletindo diretamente sobre a produtividade e a composição vegetal. Em 2006, no município de Selvíria (MS), foram analisadas as correlações lineares e espaciais entre os atributos da planta e os de um Latossolo Vermelho distroférrico. Objetivou-se selecionar entre os atributos do solo pesquisado aquele que melhor explicasse a variabilidade da produtividade agrícola. Para tanto, foi instalada a malha geoestatística para a coleta do solo e da planta em 124 pontos amostrais, numa área de 4.000 m 2 . Nas amostras de solo, coletadas em três profundidades (0-0,10 m; 0,10-0,20 m e 0,20-0,30 m), foram determinados: microporosidade, macroporosidade, porosidade total, densidade do solo e teor de matéria orgânica. Na planta, foram determinadas a produtividade (massa fresca e seca) e o teor de proteína bruta. Do ponto de vista espacial,,houve uma correlação direta entre a produtividade da massa seca e o teor de matéria orgânica do solo, assim como uma correlação inversa entre o teor de proteína bruta com a macroporosidade e com a porosidade total do solo. Assim, o teor superficial de matéria orgânica comportou-se como indicador da qualidade química do solo na estimativa da produtividade da massa seca do guandu anão nas condições da presente pesquisa.Palavras-chave: densidade do solo, macroporosidade, matéria orgânica, microporosidade. Linear and spatial correlation between Cajanus cajan L. yield and crude protein content and attributes of a Hapludox ABSTRACTWith the use of no-till farming, the soil physical and chemical properties are constantly changed, directly reflecting on plant yield and composition. In 2006, in the municipality of Selvíria, Mato Grosso do Sul, Brazil, the linear and spatial correlations between the plant attributes and the attributes of a Rhodic Hapludox were analyzed. The objective of this work was to select among the analyzed soil attributes the one that best explained the variability of agricultural yield. For this, the geostatistical grid was installed for the soil and plant collection in 124 sampling points in a 4,000 m 2 area. In the soil samples, collected at three depths (0-0.10 m, 0.20-0.30 m and 0.10-0.20 m), the microporosity, macroporosity, total porosity, bulk density and organic matter content were determined. In the plant, the yield (fresh and dry matter) and the crude protein content were determined. From the spatial viewpoint, there was a direct correlation between the dry matter yield and the soil organic matter content, as well as an inverse correlation between the crude protein content and the macroporosity and total porosity of soil. Therefore, the surface organic matter content behaved as a soil chemical quality indicator to estimate the dry matter yield of Cajanus cajan L. under the conditions of this research.

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Análise estatística exploratória e variabilidade da densidade do solo em um perfil de latossolo amarelo coeso do tabuleiros costeiros da Bahia

Cited by 8 publications

References 6 publications

Spatial and linear correlations between soil and corn

Spatial and linear correlations between soil and corn

Spatial distribution of physical attributes of an Ultisol under papaya crop

Correlação linear e espacial entre a produtividade e o teor de proteína bruta do guandu anão e os atributos de um Latossolo

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