Correlação E Mapeamento Da Quantidade De Calagem Por Dois Métodos Distintos Para a Cultura Da Pimenta-Do-Reino

Quartezani, Waylson Zancanella; Lima, Julião Soares de Souza; Zucoloto, Moisés; Xavier, Alexandre Cândido

doi:10.17224/energagric.2013v28n2p90-94

Cited by 2 publications

(3 citation statements)

References 5 publications

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“…Lower LR rates were also obtained by Quartezani et al (2013) from the base saturation method for the black pepper crop compared to the method of Al 3+ neutralization and elevation of Ca 2+ and Mg 2+ contents, despite using a higher V (70 %) and lower X (2.5) than those chosen for the present study.…”

Section: Comparison/correlation T Rmentioning

confidence: 55%

Classical Methods and Calculation Algorithms for Determining Lime Requirements

Guarçoni

Sobreira

2017

Rev. Bras. Ciênc. Solo

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ABSTRACT:The methods developed for determination of lime requirements (LR) are based on widely accepted principles. However, the formulas used for calculation have evolved little over recent decades, and in some cases there are indications of their inadequacy. The aim of this study was to compare the lime requirements calculated by three classic formulas and three algorithms, defining those most appropriate for supplying Ca and Mg to coffee plants and the smaller possibility of causing overliming. The database used contained 600 soil samples, which were collected in coffee plantings. The LR was estimated by the methods of base saturation, neutralization of Al 3+, and elevation of Ca 2+and Mg 2+ contents (two formulas) and by the three calculation algorithms. Averages of the lime requirements were compared, determining the frequency distribution of the 600 lime requirements (LR) estimated through each calculation method. In soils with low cation exchange capacity at pH 7, the base saturation method may fail to adequately supply the plants with Ca and Mg in many situations, while the method of Al 3+ neutralization and elevation of Ca 2+ and Mg 2+ contents can result in the calculation of application rates that will increase the pH above the suitable range. Among the methods studied for calculating lime requirements, the algorithm that predicts reaching a defined base saturation, with adequate Ca and Mg supply and the maximum application rate limited to the H+Al value, proved to be the most efficient calculation method, and it can be recommended for use in numerous crops conditions.

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Section: Comparison/correlation T Rmentioning

confidence: 55%

Classical Methods and Calculation Algorithms for Determining Lime Requirements

Guarçoni

Sobreira

2017

Rev. Bras. Ciênc. Solo

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“…This allowed for a visual diagnosis aiming at better managing black pepper plantations. Quartezani et al (2013b), working with chemical properties, mapped the intensity of liming in black pepper plantations and confirmed the low fertility of the soils and the need to correct acidity to increase nutrient levels. This same study also enabled to identify priority areas for liming.…”

Section: Introductionmentioning

confidence: 86%

“…In Espírito Santo, black pepper is usually cultivated in soil with low natural fertility. Because of the high nutritional requirements of the crop, the use of fertilizers is considered essential for rapid development and good productivity (Quartezani et al, 2013b). Quartezani et al (2013a) studied the physical properties of soils of these areas and mapped soil particle-size fractions.…”

Section: Introductionmentioning

confidence: 99%

Multiple linear and spatial regressions to estimate the influence of Latosol properties on black pepper productivity

et al. 2019

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There is little knowledge available on the best techniques for transferring spatial information such as stochastic interpolation and multivariate analyses for black pepper. This study applies multiple linear and spatial regression to estimate black pepper productivity based on physical and chemical properties of the soil. A multiple linear regression including all properties of a Latosol was performed and followed by variance analysis to verify the validity of the model. The adjusted variograms and data interpolation by kriging allowed the use of spatial multiple regression with the properties that were significant in the multiple linear regression. The forward stepwise method was used and the model was validated by the F-test. The influence of the Latosol properties was greater than the residual on the prediction of productivity. The model was composed by the physical properties fine sand (FS), penetration resistance (PR), and Bulk density (BD), and by the chemical properties K, Ca, and Mg (except for Mg in the spatial regression). The physical properties were of greater relevance in determining productivity, and the maps estimated by ordinary kriging and predicted by the spatial multiple regression were very similar in shape.

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Correlação E Mapeamento Da Quantidade De Calagem Por Dois Métodos Distintos Para a Cultura Da Pimenta-Do-Reino

Cited by 2 publications

References 5 publications

Classical Methods and Calculation Algorithms for Determining Lime Requirements

Classical Methods and Calculation Algorithms for Determining Lime Requirements

Multiple linear and spatial regressions to estimate the influence of Latosol properties on black pepper productivity

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