scholarly journals Comparison of soil phosphorus and phosphatase activity under long-term no-tillage and maize residue management

2019 ◽  
Vol 65 (No. 8) ◽  
pp. 408-415 ◽  
Author(s):  
Xiaozhu Yang ◽  
Xuelian Bao ◽  
Yali Yang ◽  
Yue Zhao ◽  
Chao Liang ◽  
...  
Keyword(s):  
Soil Phosphorus ◽  
Soil Layer ◽  
Residue Management ◽  
Available P ◽  
No Tillage ◽  
Organic P ◽  
Inorganic P ◽  
Phosphatase Activities ◽  
Soil P ◽  
Soil Available P

The migration and transformation of soil phosphorus (P) are essential for agricultural productivity and environmental security but have not been thoroughly elucidated to date. A 10-year field study was conducted to explore the effects of conventional tillage (CT) and no-tillage with maize residue management (NT-0, NT-33%, NT-67% and NT-100%) on P contents and phosphatase activities in soil layers (0–5, 5–10, 10–20 and 20–40 cm). The results showed that soil available P content and phosphatase activities were higher in no-tillage with maize residue than CT. Soil moisture and pH were significantly positively correlated with soil available P. Higher organic P contents and lower inorganic P contents in the 0–5 cm soil layer were found in the treatment NT-67% compared with other treatments. According to the structure equation model, the source of available P was inorganic P in NT-33%, while organic P in NT-67%. This study demonstrated that the variation of dominant mechanisms involved in soil P migration and transformation were dependent on residue input amounts, and NT-67% might play an important role in the maintenance and transformation of soil organic P.

scholarly journals Surface soil phosphorus and phosphatase activities affected by tillage and crop residue input amounts

2011 ◽  
Vol 57 (No. 6) ◽  
pp. 251-257 ◽  
Author(s):  
J.B. Wang ◽  
Z.H. Chen ◽  
L.J. Chen ◽  
A.N. Zhu ◽  
Z.J. Wu
Keyword(s):  
Crop Residue ◽  
Soil Phosphorus ◽  
Conventional Tillage ◽  
Available P ◽  
Inorganic Pyrophosphatase ◽  
Organic P ◽  
Phosphatase Activities ◽  
Soil P ◽  
No Till ◽  
Total P

The effects of tillage and residue input amounts on soil phosphatase (alkaline phosphomonoesterase ALP, acid phosphomonoesterase ACP, phosphodiesterase PD, and inorganic pyrophosphatase IPP) activities and soil phosphorus (P) forms (total P, organic P, and available P) were evaluated using soils collected from a three-year experiment. The results showed that no-till increased soil total and organic P, but not available P as compared to conventional tillage treatments. Total P was increased as inputs of crop residue increased for no-till treatment. There were higher ALP and IPP activities in no-till treatments, while higher PD activity was found in tillage treatments and tillage had no significant effect on ACP activity. Overall phosphatase activities increased with an increase of crop residue amounts. Soil total P was correlated negatively with PD activity and positively with other phosphatase activities. Organic P had a positive correlation with ACP activity, but a negative correlation with PD activity. Available P had no significant correlation with phosphatase activities. Our data suggests that no-till and residue input could increase soil P contents and enhance the activities of phosphatase.

scholarly journals Implications of long-term superphosphate applications on the accumulation and plant availability of soil phosphorus under irrigated pastures

1990 ◽  
pp. 191-193
Author(s):  
L.M. Condron ◽  
K.M. Goh
Keyword(s):  
Dynamic Balance ◽  
Soil Phosphorus ◽  
Organic P ◽  
P Fractionation ◽  
Inorganic P ◽  
Soil P ◽  
Grazed Pasture ◽  
P Addition ◽  
Apparent Stability

Changes in soil phosphorus (P) associated with the establishment and maintenance of improved ryegrass-clover pasture under different superphosphate fertiliser treatments were examined over a 20-year period (1957-77). Results showed that soil organic P increased with increasing applications of P fertiliser. This represents a dynamic balance between rates of organic P addition and breakdown in the soil. This balance is reached slowly and may be significantly altered only by drastic changes in land use. In annually fertilised soils, amounts of inorganic P increased with time. However, the potential utilisation of this residual inorganic P is limited by its apparent stability in the soil. Keywords grazed pasture, irrigation, fertiliser P, soil inorganic P, soil organic P, soil P fractionation

scholarly journals Reviews and Syntheses: Ironing Out Wrinkles in the Soil Phosphorus Cycling Paradigm

2020 ◽  
Author(s):  
Curt A. McConnell ◽  
Jason P. Kaye ◽  
Armen R. Kemanian
Keyword(s):  
Soil Phosphorus ◽  
Phosphorus Cycling ◽  
Organic P ◽  
New Techniques ◽  
Inorganic P ◽  
Soil P ◽  
Plant System ◽  
P Sorption ◽  
P Cycling ◽  
Critical Challenge

Abstract. Soil phosphorus (P) management remains a critical challenge for agriculture worldwide, and yet we are still unable to predict soil P dynamics as confidently as that of carbon (C) or nitrogen (N). This is due to both the complexity of inorganic P (Pi) and organic P (Po) cycling and the methodological constraints that have limited our ability to trace P dynamics in the soil-plant system. In this review we describe the challenges to building parsimonious, accurate, and useful P models and to explore the potential of some new techniques to advance modeling efforts. To advance our understanding and modeling of P biogeochemistry, research efforts should focus on the following: 1) update the McGill and Cole (1981) model of Po mineralization by clarifying the role and prevalence of “biochemical” and “biological” Po mineralization which we hypothesize are not mutually exclusive and may co-occur along a continuum of Po substrate stoichiometry; 2) further understand the dynamics of phytate, a 6-C compound that can regulate the poorly understood stoichiometry of soil P; 3) explore the effects of C and Po saturation on P sorption and Po mineralization; and 4) resolve discrepancies between hypotheses about P cycling and the methods used to test these hypotheses.

Bayesian spatio-temporal modeling of soil phosphorus in Britany in western France (1995-2014) with INLA-SPDE

2020 ◽  
Author(s):  
Bifeng Hu ◽  
Nicolas Saby ◽  
Hocine Bourennane ◽  
Thomas Opitz ◽  
Pascal Denoroy ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Soil Phosphorus ◽  
External Validation ◽  
Soil Management ◽  
Available P ◽  
Validation Dataset ◽  
Related Factors ◽  
Soil P ◽  
Soil Available P ◽  
Spatio Temporal

<p>Soil phosphorus (P) is one of the most critical elements for Earth’s ecosystem. P is a component of the complex nucleic acid structure of plants, which regulates protein synthesis, plants deficient in P are stunted in growth and lead to diseases. In practice, P is most often the element responsible for eutrophication problems in freshwater meanwhile, and it is considered the macronutrient most frequently as the element limiting eutrophication because many blue-green algae are able to use atmospheric N<sub>2</sub>. Since the Second World War overuse application of fertilizer P has leaded to lots of serious environmental problems such as eutrophication of water body.</p><p>Soil P was affected by several factors including climate, geology, time, anthropogenic activities (irrigation, industrial emission, fertilizer application, crop planting pattern etc.) and so on. This makes soil P varied in a very complex manner on both spatial and time dimension and thus increases the difficulty of estimating spatio-temporal variation of soil P. Therefore, a flexible framework is necessary for modelling spatio-temporal variation of soil P.</p><p>To explore spatio-temporal variation of soil available P, we propose a Bayesian hierarchical spatio-temporal model using Integrated Nested Laplace Approximation with Stochastic Partial Differential Equation approach (INLA-SPDE). The study was conducted on phosphorus measured by Olsen (P Olsen) and Dyer (P Dyer) methods in Britany (western France) from 1995 to 2014 with data of more than 30,000 samples of France national soil test database (BDAT).</p><p>The INLA-SPDE method exploits the Laplace approximation in Bayesian latent-Gaussian models and does not require generating samples from the posterior distribution. Hence, it can often be used for quite large data sets at reasonable computational expense. It could provide approximate marginal (posterior) distributions over all states and parameters. In this study, the constructed model includes of several components such as spatial varying trend, space varying temporal trend, effects of covariates, and residual with space-time dependent variation.</p><p>Regardless the method of quantifying phosphorus, the results indicated that the mean content of soil available P decreased between 1995 and 2014 in Britany. Our model explained 49.5% of variance of spatio-temporal variation of P Olsen in Britany in external validation dataset. For P Dyer, our model explained 50% of variance in external validation dataset. The purely spatial effects shown that the available P in west of Britany was higher than east part. Our study could contribute to better soil management and environmental protection. Further study still needed to include more related factors into the model to improve the model performance and detected more related factors (such as soil management measures) which have important effects on spatio-temporal variation of available P in soil.</p>

THE INFLUENCE OF TOPOGRAPHY ON THE DISTRIBUTION OF ORGANIC AND INORGANIC SOIL PHOSPHORUS ACROSS A NARROW ENVIRONMENTAL GRADIENT

1985 ◽  
Vol 65 (4) ◽  
pp. 651-665 ◽  
Author(s):  
T. L. ROBERTS ◽  
J. W. B. STEWART ◽  
J. R. BETTANY
Keyword(s):  
Environmental Gradient ◽  
Soil Phosphorus ◽  
Regional Distribution ◽  
Extraction Procedure ◽  
Distribution Patterns ◽  
Organic P ◽  
Inorganic P ◽  
Soil P ◽  
Lower Slope ◽  
Total P

A sequential extraction procedure was used to determine phosphorus fractions (resin, bicarbonate, hydroxide, sonicated hydroxide, acid and acid-peroxide digest with separate organic and inorganic P determinations) in surface and subsurface horizons taken from the upper, mid- and lower slope positions of four catenas (representing Brown, Dark Brown and Black Chernozemic soils, and a Luvisolic soil) which encompass a narrow environmental gradient of climate (annual precipitation: 300–475 mm) and vegetation. Trends in the local distribution of organic and inorganic soil P between upper and lower slope positions in any one catena were similar to the regional distribution patterns across all soil zones. Concentration of organic P, in both the surface and subsurface horizons, increased from the upper to the lower slope positions and from the Brown to the Black soils, while inorganic P decreased. The largest single organic fraction (hydroxide extractable) accounted for up to 22 and 17% of the total P (surface and subsurface horizons, respectively). Acid extractable P dominated the inorganic fractions, accounting for 40–63% of the total P (surface and subsurface horizons, respectively). The distribution of organic P along the catenas and among the soil zones was related to the transformations of inorganic P caused by differences in weathering intensity between slope positions and across the Province. Key words: Catena, climo-toposequence, sequential P extraction

Influence of long-term irrigation on the distribution and availability of soil phosphorus under permanent pasture

Soil Research ◽  
2006 ◽  
Vol 44 (2) ◽  
pp. 127 ◽  
Author(s):  
L. M. Condron ◽  
S. Sinaj ◽  
R. W. McDowell ◽  
J. Dudler-Guela ◽  
J. T. Scott ◽  
...  
Keyword(s):  
Soil Phosphorus ◽  
Soil Layer ◽  
P Availability ◽  
Organic P ◽  
Retention Capacity ◽  
Pasture Production ◽  
Inorganic P ◽  
Permanent Pasture ◽  
P Movement

This study examined the influence of irrigation on soil phosphorus (P) distribution and availability under permanent pasture in New Zealand. Soil samples (0–0.075, 0.075–0.15, 0.15–0.25 m) were taken from a long-term field experiment, which included a dryland and 2 irrigation treatments (irrigated at 10% and 20% soil moisture) that had received 25 kg P/ha annually as superphosphate for 52 years. Corresponding data for soil from an adjacent ‘wilderness’ site that had not been used for agriculture for 54 years were included for comparison. Analyses included total P, organic P, and inorganic P; isotopic exchange kinetics (IEK) was used to determine soil inorganic P pools of differing plant availability. Concentrations of total and inorganic P were greater in soil taken from the dryland treatment than the irrigated treatments at all depths. This was attributed to a combination of decreased pasture growth and P transfer in drainage and off-farm produce. Concentrations of organic P were greater in the irrigated treatments (e.g. 0–0.075 m: 672–709 mg P/kg) than in the dryland treatment (e.g. 0–0.075 m: 574 mg P/kg) as a consequence of increased pasture production and soil biological activity. Inorganic P availability (Cp and E1min) was also greater in the dryland treatment than the irrigated treatments. Furthermore, concentrations of inorganic P in the recalcitrant IEK pool (E>3m = E3m–1y + E>1y) in the 0–0.075 m soil from the dryland treatment (479 mg P/kg) were significantly greater than the 10% irrigated (346 mg P/kg) and 20% irrigated (159 mg P/kg) treatments, which was mainly attributed to physico-chemical reactions that decreased the exchangeability of accumulated inorganic P with time. Despite increased P retention capacity at depth (R/r1, 0.15–0.25 m: dryland 6.6, 10% irrigated 10.2, 20% irrigated 12.8), concentrations of total inorganic P in the 0.15–0.25 m soil layer were lower under irrigation (195–266 mg P/kg) than dryland (354 mg P/kg), which indicated that long-term flood irrigation increased P transfer by leaching. The findings of this study revealed that while irrigation improved the utilisation of applied fertiliser P it also resulted in increased P movement to depth in the soil profile.

scholarly journals Reviews and syntheses: Ironing out wrinkles in the soil phosphorus cycling paradigm

2020 ◽  
Vol 17 (21) ◽  
pp. 5309-5333
Author(s):  
Curt A. McConnell ◽  
Jason P. Kaye ◽  
Armen R. Kemanian
Keyword(s):  
Soil Phosphorus ◽  
Phosphorus Cycling ◽  
Organic P ◽  
New Techniques ◽  
Inorganic P ◽  
Soil P ◽  
Plant System ◽  
P Sorption ◽  
Biogeochemical Models ◽  
Critical Challenge

Abstract. Soil phosphorus (P) management remains a critical challenge for agriculture worldwide, and yet we are still unable to predict soil P dynamics as confidently as that of carbon (C) or nitrogen (N). This is due to both the complexity of inorganic P (Pi) and organic P (Po) cycling and the methodological constraints that have limited our ability to trace P dynamics in the soil–plant system. In this review, we describe the challenges for building parsimonious, accurate, and useful biogeochemical models that represent P dynamics and explore the potential of new techniques to usher P biogeochemistry research and modeling forward. We conclude that research efforts should focus on the following: (1) updating the McGill and Cole (1981) model of Po mineralization by clarifying the role and prevalence of biochemical and biological Po mineralization, which we suggest are not mutually exclusive and may co-occur along a continuum of Po substrate stoichiometry; (2) further understanding the dynamics of phytate, a six C compound that can regulate the poorly understood stoichiometry of soil P; (3) exploring the effects of C and Po saturation on P sorption and Po mineralization; and (4) resolving discrepancies between hypotheses about P cycling and the methods used to test these hypotheses.

INFLUENCE OF TEXTURE AND MANAGEMENT PRACTICES ON THE FORMS AND DISTRIBUTION OF SOIL PHOSPHORUS

1987 ◽  
Vol 67 (1) ◽  
pp. 147-163 ◽  
Author(s):  
J. W. B. STEWART ◽  
I. P. O'HALLORAN ◽  
R. G. KACHANOSKI
Keyword(s):  
Management Practices ◽  
Soil Phosphorus ◽  
Organic P ◽  
Sand Content ◽  
P Fractions ◽  
P Fractionation ◽  
Inorganic P ◽  
Soil P ◽  
Total Soil ◽  
Labile Organic P

Changes in soil phosphorus (P) forms, as determined by a sequential fractionation procedure, were used to assess the influence of soil texture and management practices on the forms and distribution of soil P in a Brown Chernozemic loam soil at Swift Current, Saskatchewan. Significant proportions of the variability of all P fractions except residual-P could be attributed to changes in sand content. Changes in the forms and distribution of soil P with decreasing sand content followed patterns similar to those associated with a weathering sequence. The proportion of total soil P in inorganic and organic extractable forms that were extractable sequentially with anion exchange resin (resin-Pi), sodium bicarbonate (bicarb-Pi and -Po), and sodium hydroxide (NaOH-Pi and -Po) increased with decreasing sand content. Acid-extractable inorganic P (HCl-Pi) was the only P fraction positively correlated with sand content. The presence of a crop increased the proportion of soil P present as the more labile organic-P fractions (bicarb-Po and NaOH-Po) but not as total soil organic P (soil-Po). The presence of a crop also increased the proportion of soil P present as the labile inorganic fractions (resin-Pi and bicarb-Pi), possibly due to a decrease in soil pH. Application of inorganic-P fertilizer caused significant increases in the proportion of soil P as these labile inorganic-P fractions (resin-Pi and bicarb-Pi) and as total soil organic-P (soil-Po), but did not affect the more labile organic-P fractions. Key words: P fractionation, labile P, organic P, inorganic P, texture, management practices

scholarly journals Comparison of fractionation methods for soil phosphorus with soils subjected to various long-term fertilization regimes on a calcareous soil

2021 ◽  
Vol 3 ◽  
pp. e3
Author(s):  
Xin Jin ◽  
Changlu Hu ◽  
Asif Khan ◽  
Shulan Zhang ◽  
Xueyun Yang ◽  
...  
Keyword(s):  
Calcareous Soil ◽  
Soil Phosphorus ◽  
Calcareous Soils ◽  
P Uptake ◽  
Organic P ◽  
P Fractions ◽  
P Fractionation ◽  
Inorganic P ◽  
Soil P

Background Diverse phosphorus (P) fractionation procedures presented varying soil P fractions, which directly affected P contents and forms, and their biological availability. Purpose To facilitate the selection of phosphorus (P) fractionation techniques, we compared two procedures based on a long-term experiment on a calcareous soil. Methods The soils containing a gradient P levels were sampled from seven treatments predictor under various long-term fertilizations. The P fractions were then separated independently with both fractionation procedures modified by Tiessen-Moir and Jiang-Gu. Results The results showed that the labile P in Jiang-Gu is significantly lower than that in Tiessen-Moir. The iron and aluminium-bounded P were greater in Jiang-Gu by a maximum of 46 mg kg−1 than Tiessen-Moir. Jiang-Gu fractionation gave similar Ca bounded P to that Tiessen-Moir did at low P level but greater contents at high P level. The two methods extracted much comparable total inorganic P. However, Tiessen-Moir method accounted less total organic P than ignition or Jiang-Gu method (the organic P (Po) estimated by subtract the total inorganic P (Pi) in Jiang-Gu fractionation from the total). P uptake by winter wheat was significantly and positively correlated with all phosphorus fractions in Jiang-Gu; Resin-P, NaHCO3-Pi, D. HCl-P, C. HCl-Pi, NaOH-Po, total-Po in Tiessen-Moir; P fraction categories of Ca-P, Fe & Al-P and total-Pi in both fractionations. Path coefficients indicated that Ca2-P in Jiang-Gu, NaHCO3-Pi and D. HCl-P in Tiessen-Moir had the higher and more significant direct contributions to P uptake among P fractions measured. Conclusions Our results suggested that Jiang-Gu procedure is a better predictor in soil P fractionation in calcareous soils, although it gives no results on organic P fractions.

scholarly journals Using a One-Dimensional Convolutional Neural Network on Visible and Near-Infrared Spectroscopy to Improve Soil Phosphorus Prediction in Madagascar

2021 ◽  
Vol 13 (8) ◽  
pp. 1519
Author(s):  
Kensuke Kawamura ◽  
Tomohiro Nishigaki ◽  
Andry Andriamananjara ◽  
Hobimiarantsoa Rakotonindrina ◽  
Yasuhiro Tsujimoto ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Near Infrared ◽  
Soil Phosphorus ◽  
Predictive Ability ◽  
Available P ◽  
Accurate Estimation ◽  
One Dimensional ◽  
P Content ◽  
Soil Available P

As a proximal soil sensing technique, laboratory visible and near-infrared (Vis-NIR) spectroscopy is a promising tool for the quantitative estimation of soil properties. However, there remain challenges for predicting soil phosphorus (P) content and availability, which requires a reliable model applicable for different land-use systems to upscale. Recently, a one-dimensional convolutional neural network (1D-CNN) corresponding to the spectral information of soil was developed to considerably improve the accuracy of soil property predictions. The present study investigated the predictive ability of a 1D-CNN model to estimate soil available P (oxalate-extractable P; Pox) content in soils by comparing it with partial least squares (PLS) and random forest (RF) regressions using soil samples (n = 318) collected from natural (forest and non-forest) and cultivated (upland and flooded rice fields) systems in Madagascar. Overall, the 1D-CNN model showed the best predictive accuracy (R2 = 0.878) with a highly accurate prediction ability (ratio of performance to the interquartile range = 2.492). Compared to the PLS model, the RF and 1D-CNN models indicated 4.37% and 23.77% relative improvement in root mean squared error values, respectively. Based on a sensitivity analysis, the important wavebands for predicting soil Pox were associated with iron (Fe) oxide, organic matter (OM), and water absorption, which were previously known wavelength regions for estimating P in soil. These results suggest that 1D-CNN corresponding spectral signatures can be expected to significantly improve the predictive ability for estimating soil available P (Pox) from Vis-NIR spectral data. Rapid and accurate estimation of available P content in soils using our results can be expected to contribute to effective fertilizer management in agriculture and the sustainable management of ecosystems. However, the 1D-CNN model will require a large dataset to extend its applicability to other regions of Madagascar. Thus, further updates should be tested in future studies using larger datasets from a wide range of ecosystems in the tropics.

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