Relationship of Soil Test Phosphorus and Sampling Depth to Runoff Phosphorus in Calcareous and Noncalcareous Soils

Torbert, H. Allen; Daniel, T. C.; Lemunyon, J. L.; Jones, R. M.

doi:10.2134/jeq2002.1380

Cited by 101 publications

(104 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…According to Swedish official recommendations (Albertsson 2010), reduced P fertilization levels are recommended for such soils due to the higher risk of P leaching. A number of studies have observed a clear relationship between soil P content and potential release of dissolved reactive P (DRP) (Heckrath et al 1995;Pote et al 1999;Torbert et al 2002;Börling et al 2004). However, these studies also stress the importance of considering site-specific properties in order to make appropriate risk assessments, e.g., where measurements of soil P content are combined with measurements of other soil properties such as P sorption capacity.…”

mentioning

confidence: 99%

Long-term measurements and model simulations of phosphorus leaching from a manured sandy soil

Liu¹,

Aronsson²,

Blombäck³

et al. 2012

Journal of Soil and Water Conservation

View full text Add to dashboard Cite

Cropping systems with high phosphorus (P) inputs may constitute a risk of P leaching, which contributes to eutrophication. The main objective of this study was to identify P leaching risks associated with three long-term fertilization regimes in separately tile-drained plots on a sandy soil in southwest Sweden. The three regimes resulted in different annual P surpluses of, on average, 16 kg P ha −1 (14 lb P ac) in mineral form and 18 kg P ha −1 (16 lb P ac) and 37 kg P ha −1 (33 lb P ac) as pig slurry. The importance of different soil characteristics (soil P, iron, aluminum, and calcium content, and degree of P saturation [DPS]) and processes (water flow and P sorption/desorption) was examined using 15 years (1989 to 2003) of P leaching measurements and simulations with the ICECREAM model. Measurements of high soil P content and DPS values in the topsoil, in combination with high precipitation and rapid water flow, indicated a high potential for P losses, which was confirmed by the model simulations. However, the model considerably overestimated total P leaching by a factor of 5 to 9 since measured P leaching was small for all treatments. Measured mean annual total P leaching and total P concentration ranged respectively from 0.14 kg ha ) in the mineral P treatment. The differences in concentration were statistically significant (p < 0.001). A main conclusion from this 15-year study was that annual pig slurry application rates of 37 to 58 kg P ha −1 (33 to 52 lb P ac −1 ) did not increase P leaching. High sorption capacity of the subsoil, caused by Fe, Al, and Ca, was obviously very important for controlling P losses. Thus, information on soil P content and fertilization must be supplemented with estimates of soil P sorption capacity when evaluating the risk of P leaching for different soils. This must also be considered in models used for assessment of P leaching from arable land. The current ICECREAM model does not include appropriate functions for describing P sorption/desorption processes in this type of soil and needs further development. Key words: phosphorus application rate-phosphorus leaching-pig slurry-sorption/ desorption processes-ICECREAM modelAgriculture is estimated to contribute roughly 40% of the phosphorus (P) loading to Swedish fresh waters and the Baltic Sea, which are threatened with accelerating eutrophication (Brandt and Ejhed 2003). The mechanisms and processes behind P transport from agricultural soils to water are complex. Topography, soil texture/structure, soil chemical properties, and precipitation are factors that determine the type of losses (i.e., surface runoff, erosion, or leaching) that dominate for a specific soil, which in turn determines how different management practices affect P losses. One of the most important factors is P fertilization, which can affect P losses in different ways depending on type of fertilizer (inorganic or organic), application rate and method (incorporation or not), and time of application.Excessive applications of P, especially in areas wi...

show abstract

mentioning

confidence: 99%

Long-term measurements and model simulations of phosphorus leaching from a manured sandy soil

Liu¹,

Aronsson²,

Blombäck³

et al. 2012

Journal of Soil and Water Conservation

View full text Add to dashboard Cite

show abstract

“…Because that level of STP would require no further P additions, resulting in a sub-value score of zero for both fertilizer placement amount and method, it is not unlikely that this field could fall in the low risk category. Ongoing field P loss studies in Ohio will provide information to evaluate STP levels and P Index weightings as related to P runoff [48]- [52]. Slope steepness, an integral part of connectivity to water, soil erosion and runoff class which ranked 2nd, 3rd and 5th in the sub-value sensitivity analysis, had the 3rd highest explanatory power (19.1%) in the raw components analysis and was responsible for the 2nd highest potential range of P Index score movement.…”

Section: Discussionmentioning

confidence: 99%

Using Crop Management Scenario Simulations to Evaluate the Sensitivity of the Ohio Phosphorus Risk Index

Dayton¹,

Holloman²,

Subburayalu³

et al. 2017

JEP

View full text Add to dashboard Cite

Phosphorus (P) risk indices are commonly used in the USA to estimate the field-scale risk of agricultural P runoff. Because the Ohio P Risk Index is increasingly being used to judge farmer performance, it is important to evaluate weighting/scoring of all P Index parameters to ensure Ohio farmers are credited for practices that reduce P runoff risk and not unduly penalized for things not demonstrably related to runoff risk. A sensitivity analysis provides information as to how sensitive the P Index score is to changes in inputs. The objectives were to determine 1) which inputs are most highly associated with P Index scores and 2) the relative impact of each input variable on resultant P Index scores. The current approach uses simulations across 6134 Ohio point locations and five crop management scenarios (CMSs), representing increasing soil disturbance. The CMSs range from all no-till, which is being promoted in Ohio, rotational tillage, which is a common practice in Ohio to full tillage to represent an extreme practice. Results showed that P Index scores were best explained by soil test P (31.9%) followed by connectivity to water (29.7%), soil erosion (13.4%), fertilizer application amount (11.3%), runoff class (9.5%), fertilizer application method (2.2%), and finally filter strip (2.0%). Ohio P Index simulations across CMSs one through five showed that >40% scored <15 points (low) while <1.5% scored >45 points (very high). Given Ohio water quality problems, the Ohio P Index needs to be stricter. The current approach is useful for Ohio P Index evaluations and revision decisions by spatially illustrating the impact of potential changes regionally and statewide.

show abstract

“…The result indicates that phosphorus concentration is high at 5 cm depth of soil. The losses of phosphorus occur from approximately at the top 5 cm of soil 13,14 . The accumulation of phosphorus normally occurs in the topsoil because it cannot be found in gaseous phase under natural condition 15 .…”

Section: Effect Of Independent and Interactive Parameters On Phosphormentioning

confidence: 99%

Optimization of Flooded Soil Recovery via Plant- Arbuscular Mycorrhizal Fungi Symbiotic Interaction

Hazwani

Zainol

Nanthinie

et al. 2017

Chem. Eng. Res. Bull.

View full text Add to dashboard Cite

Flooded soil recovery was optimized using experimental design methodology by manipulating the symbiotic relationship between soil fungi, Arbuscular Mycorrhizal Fungi (AMF) and the host plant (Allium cepa L.) planted in a soil containing AMF (SA). This was achieved by measuring the amount of nutrient (nitrogen, phosphorus and potassium) uptake by AMF using HACH spectrophotometer after 14 days of planting in several condition suggested by Design-Expert® software (Ver 7.1.6). In order to determine the optimum condition for the AMF to recover the flooded soil, the experiments were designed according to a central composite design in two variables following the Response Surface Methodology (RSM). A quadratic polynomial model was generated to predict soil recovery. R2 for nitrogen, phosphorus and potassium was found at 0.89, 0.96 and 0.94 respectively of the range for the factors studied namely 24-32 ml water content and 4.0-6.0 cm depth of soil. Among two parameters, depth of soil showed significant effect on the recovery of flooded soil for phosphorus and potassium while for nitrogen both parameters showed insignificant effect. Model validation experiments showed good correspondence between experimental and predicted values at error for N, P, and K at 7.0%, 1.86% and 2.65% respectively. The optimal condition for soil recovery was at 28 ml soil water content and 5 cm soil depth. At this condition, the nutrient uptake by AMF was predicted to be at their maximum rate where the concentration of nutrients increased approximately by 2 to 3 times from the initial nutrient concentration.

show abstract

Relationship of Soil Test Phosphorus and Sampling Depth to Runoff Phosphorus in Calcareous and Noncalcareous Soils

Cited by 101 publications

References 18 publications

Long-term measurements and model simulations of phosphorus leaching from a manured sandy soil

Long-term measurements and model simulations of phosphorus leaching from a manured sandy soil

Using Crop Management Scenario Simulations to Evaluate the Sensitivity of the Ohio Phosphorus Risk Index

Optimization of Flooded Soil Recovery via Plant- Arbuscular Mycorrhizal Fungi Symbiotic Interaction

Contact Info

Product

Resources

About