Estimation of field capacity and moisture retention based on regression analysis involving chemical and physical properties in Alfisols and Ultisols of the state of Rio de Janeiro

Macedo, José Ronaldo de; Meneguelli, N. do A.; Filho, Theophilo Benedicto Ottoni; Lima, Jorge Araújo de Sousa

doi:10.1081/css-120005747

Cited by 10 publications

(21 citation statements)

References 14 publications

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“…This is an indication of the important influence of soil structure on FC, which was greater than the influence of texture. However, according to the data set (n=44) in table 3 of Macedo et al (2002), the dependence of FC on texture, as well as on OM, is much stronger than in our results (n=92). Their coefficient of correlation between FC and OM was about 0.60.…”

Section: Fc Dependence On Basic Soil Propertiescontrasting

confidence: 92%

“…This indicates that there was no overall tendency for the variation of FC data with depth due to a layering sequence, departure from the unit hydraulic gradient, or other reasons that are not strongly dictated by variations in the basic soil properties that are related to FC, such as θ(6). The same conclusion can be drawn from the data of Macedo et al (2002), based on a similar analysis. Such a conclusion can be partially explained by the fact that, among the 12 soils identified in S.J.…”

Section: Fc Dependence On Basic Soil Propertiessupporting

confidence: 76%

“…Ubá, none had an abrupt discontinuity layer (such as a permeable pan or impeding layer) in the sampled profile (Table 1). Most of the profiles showed increasing clay content with depth, which was also verified in the soils studied by Fabian & Ottoni Filho (2000), Thurler (2000), and Macedo et al (2002). However, below the infiltration wetting fronts of the FC trials, the lowland (Fluvaquent) soils P6 and P21 had a high phreatic level, and P5, P20, and P22 had a shallow R-layer or CRhorizon, which may interfere with topsoil drainage.…”

Section: Fc Dependence On Basic Soil Propertiessupporting

confidence: 68%

“…Soil data for these profiles, including FC, were gathered by the same methods described before. Detailed descriptions of the soils and soil data are found in Fabian & Ottoni Filho (2000), Thurler (2000), and Macedo et al (2002). Most of the units are Udic Kandiustalfs.…”

Section: Discussionmentioning

confidence: 99%

“…However, it does not perform as well as the Ritchie equation for the data set mentioned above. Subsequently, Macedo et al (2002) derived PTFs for the in situ determination of FC of four Brazilian soils (n=44 soil samples) with the same predictor variables commonly used in PTFs for soil water retention, namely textural contents, organic matter content, bulk density, and water content at a specific suction (Williams et al, 1992;Nemes et al, 2003;Saxton & Rawls, 2006). Potential use of PTFs for in situ FC prediction was also indicated by Bell & van Keulen (1996) and Nemes et al (2011).…”

Section: Introductionmentioning

confidence: 99%

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Revisiting Field Capacity (FC): variation of definition of FC and its estimation from pedotransfer functions

Filho

Ottoni²,

Oliveira

et al. 2014

Rev. Bras. Ciênc. Solo

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SUMMARYTaking into account the nature of the hydrological processes involved in in situ measurement of Field Capacity (FC), this study proposes a variation of the definition of FC aiming not only at minimizing the inadequacies of its determination, but also at maintaining its original, practical meaning. Analysis of FC data for 22 Brazilian soils and additional FC data from the literature, all measured according to the proposed definition, which is based on a 48-h drainage time after infiltration by shallow ponding, indicates a weak dependency on the amount of infiltrated water, antecedent moisture level, soil morphology, and the level of the groundwater table, but a strong dependency on basic soil properties. The dependence on basic soil properties allowed determination of FC of the 22 soil profiles by pedotransfer functions (PTFs) using the input variables usually adopted in prediction of soil water retention. Among the input variables, soil moisture content θ θ θ θ θ (6 kPa) had the greatest impact. Indeed, a linear PTF based only on it resulted in an FC with a root mean squared residue less than 0.04 m 3 m -3 for most soils individually. Such a PTF proved to be a better FC predictor than the traditional method of using moisture content at an arbitrary suction. Our FC data were compatible with an equivalent and broader USA database found in the literature, mainly for medium-texture soil samples. One reason for differences between FCs of the two data sets of finetextured soils is due to their different drainage times. Thus, a standardized procedure for in situ determination of FC is recommended.Index terms: internal drainage, aeration capacity, soil water retention. Levando em conta a natureza dos processos hidrológicos envolvidos na medição da Capacidade de Campo (CC) in situ, este estudo propõe uma variação da definição de CC a fim de minimizar as impropriedades de sua determinação, mas também de manter seu sentido prático original. A análise de dados de CC para 22 solos brasileiros e de dados adicionais da literatura, todos medidos segundo a definição proposta, que é com base no tempo de drenagem de 48 h após uma infiltração por alagamento raso, indicou fraca dependência na quantidade de água infiltrada, valor de umidade antecedente, morfologia do solo e nível do lençol freático, mas forte dependência nas propriedades básicas do solo. Essa dependência nas propriedades básicas do solo permitiu a determinação da CC dos 22 perfis de solo por funções de pedotransferência (FPTs), utilizando as variáveis de entrada usualmente adotadas na predição de retenção de água no solo. Entre as variáveis de entrada, a umidade θ (6 kPa) foi a que teve maior impacto; de fato, uma FPT linear com base somente nela resultou numa CC com raiz quadrada de resíduo quadrático médio menor que 0,04 m³ m -³, individualmente para todos os solos. Foi evidenciado que tal FPT foi um melhor avaliador da CC do que o método tradicional que utiliza diretamente a umidade a uma sucção arbitrária. Os dados de CC foram compatíveis com uma base de ...

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Section: Fc Dependence On Basic Soil Propertiescontrasting

confidence: 92%

Section: Fc Dependence On Basic Soil Propertiessupporting

confidence: 76%

Section: Fc Dependence On Basic Soil Propertiessupporting

confidence: 68%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Revisiting Field Capacity (FC): variation of definition of FC and its estimation from pedotransfer functions

Filho

Ottoni²,

Oliveira

et al. 2014

Rev. Bras. Ciênc. Solo

Self Cite

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Moisture characteristics and their point pedotransfer functions for coarse‐textured tropical soils differing in structural degradation status

Obalum

Martín

2012

Hydrological Processes

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The effect of soil structure on hydraulic pedotransfer functions (PTFs) in tropical soils with similar mineralogy and texture has not been well documented. Structurally contrasting soils from representative locations in southeastern Nigeria were analyzed for moisture retention at 0, 6, 10, 33, 100, 300 and 1500 kPa among other properties. They were grouped by depth (topsoils or subsoils) and also by their structural degradation status into low‐ and high‐stability soils, corresponding to organic matter (OM):[silt + clay] of <7.5 and >7.5%, respectively. Soil depth and structural stability influenced the soil moisture characteristic curves. The data were fitted to three tropical point PTFs, but none of them proved appropriate for predicting moisture retention in the soils. We therefore derived new ones using multiple linear stepwise regressions before and after the dataset grouping and compared their performances by means of cross‐validation. Moisture retention in the soils (sand content, 73.2–93.8%) could not be calibrated from texture and OM concentration alone, until when bulk density, total porosity and microporosity were included among the regressors. Microporosity's role was particularly outstanding at all matric potentials but the 1500 kPa. The ensuing PTFs represent a good fit for the soil moisture retention data. The two grouping strategies resulted in lower SE of the estimates in some cases, but this did not enhance the performances of the concerned PTFs. At the 1500 kPa, however, the PTF incorporating all datasets performed better than separate PTFs for topsoils/subsoils but worse than the one for high‐stability soils. Information on soil structure can therefore benefit PTF derivation for kaolinite‐dominated, coarse‐textured tropical soils at all the matric potentials considered. Copyright © 2012 John Wiley & Sons, Ltd.

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Role of Microorganisms in Soil Genesis and Functions

Kaviya

Upadhayay

Singh

et al. 2019

Mycorrhizosphere and Pedogenesis

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Estimation of field capacity and moisture retention based on regression analysis involving chemical and physical properties in Alfisols and Ultisols of the state of Rio de Janeiro

Cited by 10 publications

References 14 publications

Revisiting Field Capacity (FC): variation of definition of FC and its estimation from pedotransfer functions

Revisiting Field Capacity (FC): variation of definition of FC and its estimation from pedotransfer functions

Moisture characteristics and their point pedotransfer functions for coarse‐textured tropical soils differing in structural degradation status

Role of Microorganisms in Soil Genesis and Functions

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