Variabilidade espacial de atributos físicos do solo em diferentes formas do relevo sob cultivo de cana-de-açúcar

Souza, Zigomar Menezes de; Júnior, José Marques; Pereira, Gener Tadeu

doi:10.1590/s0100-06832004000600001

Cited by 42 publications

(34 citation statements)

References 23 publications

(18 reference statements)

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“…The soil properties with normal frequency distribution were PR2, GM1, GM2, and BD2 (TM) and Pr, Gm and Bd (TR) in both soil layers, similar to the findings Souza et al (2004), who also observed this frequency distribution for GM, PR and BD (all-capital abbreviations are related to the TM treatment and capital-lowercase abbreviations to TR). For the other soil properties, the undetermined frequency distribution, suggesting data heterogeneity, may be an "inheritance" of the initial tillage, which typically induces heterogeneous conditions.…”

Section: Resultssupporting

confidence: 87%

Sugarcane trash management assessed by the interaction of yield with soil properties

Dalchiavon

Carvalho

Montanari

et al. 2013

Rev. Bras. Ciênc. Solo

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SUMMARYCurrently, sugarcane plays an important global role, particularly with a view to alternative energy sources. Thus, in a sugarcane field of the mill Vale do Paraná S/A Álcool e Açúcar, Rubineia, São Paulo State, managed under two green cane harvest systems (cane trash left on and cane trash removed from the soil), Pearson and spatial correlations between the sugarcane yield (variety RB855035 in the third cut) and soil physical and chemical properties were studied to identify the property best correlated with stalk yield and the best harvest method. For this purpose, two geostatistical grids (121 sampling points on 1.30 ha) were installed on a eutrophic Red Argisol (homogeneous slope of 0.065 m m -1 ), in 2011, to determine the properties: stalk yield and sugarcane plant population, and soil resistance to penetration, gravimetric moisture, bulk density, and carbon stock, in the layers 0-0.20 and 0.20-0.40 m. The data were analyzed by descriptive, linear correlation and geostatistical analysis. In both treatments, the property stand density was best correlated with sugarcane yield (r = 0.725 in the trash mulching treatment -TM and r = 0.769 in the trash removal treatment -TR). However, in relation to the soil properties, bulk density (0-0.20 m) was best correlated (r = 0.305 in TM, r = 0.211 in TR). Similarly, from the spatial point of view, stand density was the property that best explained the sugarcane yield. However, in the TM treatment the density (0.20-0.40 m) was 1710 the only soil property spatially correlated with stalk yield. The carbon stock in the soil of the TM was 11.5 % higher than in the TR treatment. Results of the TM treatment were best, also with regard to soil management and conservation.Index terms: sugar and ethanol production, soil management and conservation, environmental sustainability, kriging maps, Saccharum officinarum L. RESUMO: MANEJO DA PALHADA DE CANA-DE-AÇÚCAR AVALIADO PELA INTERAÇÃO DA PRODUTIVIDADE COM PROPRIEDADES DO SOLOAtualmente, a cultura da cana-de-açúcar desempenha importante papel no cenário mundial, sobretudo ao aspecto relacionado às fontes energéticas alternativas. Assim, em um talhão de cana-de-açúcar na Usina Vale do Paraná S/A Álcool e Açúcar, Rubineia, SP, manejado sob duas formas de colheita da cana crua, com palhada (COP) e sem palhada (SEP) sobre o solo, foram estudadas as correlações Pearson e espacial entre a produtividade da cana-de-açúcar (variedade RB855035, em seu terceiro corte) e as propriedades físico-químicas do solo, objetivando verificar aquele que possui a melhor correlação com essa produtividade, assim como o melhor método de colheita. Para tanto, foram instaladas duas malhas geoestatísticas (1,30 ha e 121 pontos amostrais cada) em um Argissolo Vermelho eutrófico (declive homogêneo de 0,065 m m -1 ), no ano de 2011. Os atributos avaliados foram: produtividade de colmos de cana-de-açúcar, população de plantas, resistência do solo à penetração, umidade gravimétrica, densidade e estoque de carbono do solo, nas profundidades de 0-0,20 e 0,20-0,...

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Section: Resultssupporting

confidence: 87%

Sugarcane trash management assessed by the interaction of yield with soil properties

Dalchiavon

Carvalho

Montanari

et al. 2013

Rev. Bras. Ciênc. Solo

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“…For soil bulk density (table 1), the frequency distribution was normal for Bd1, Bd2 and Bd3, as also observed by Johann et al (2004), Souza et al (2004a), and Grego & Vieira (2005). 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.…”

Section: Methodssupporting

confidence: 77%

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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“…Based on the variation coefficient (VC) classification proposed by Gomes (1984), the only low VC soil property was pH (below 10 %) in both layers, supporting conclusions of Souza et al (2004), Pontelli (2006) and Silva et al (2007). This finding, however, was expected since this property has low variability.…”

Section: Resultssupporting

confidence: 54%