Short-term stability of soil test phosphorus in agricultural fields

Lamb, John A.; Rehm, G. W.

doi:10.4141/s01-031

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…Geostatistical analysis was conducted using the geoR package (Ribeiro and Diggle, 2001) for R version 2.12.1 (R Development Core Team, 2010). The temporal stability of spatial patterns in yield and quality was determined by using the ranked correlation technique (Lamb and Rehm, 2002).…”

Section: Methodsmentioning

confidence: 99%

Soybean Yield and Quality in Relation to Soil Properties

et al. 2012

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To optimize management, farmers require quantitative understanding of the factors aff ecting variability in soybean [Glycine max (L.) Merr.] seed yield and quality. Our objectives were to characterize spatial variation in soybean seed yield, oil concentration, and protein concentration in two south-central Minnesota fi elds over 6 yr of a corn [Zea mays L.]-soybean rotation, and to determine the infl uence of fertilizer treatments, soil chemical properties, and topography on soybean yield, oil, and protein. Soil and topographical variables were observed on 0.014-ha cells, and included Bray P1, Olsen P, K, Zn, pH, organic matter, total organic C, NH 4 -N, NO 3 -N, total N, mineralizable N, elevation, slope, curvature, fl ow accumulation, and aspect. Soybean yields consistently exhibited spatial structure. Within fi elds, spatial patterns of soybean yields were highly correlated across years, and we observed consistent relationships between yield and soil variables. Overall, soybean yield related positively to soil P and Zn and negatively to pH at all site-years. Models of soybean yield in relation to soil P and Zn indicate that in high pH soils at these sites, yield is optimized when soil P and Zn levels are higher than current extension recommendations. Protein and oil concentrations exhibited inconsistent spatial structure, and the spatial pattern of protein and oil concentrations diff ered across years. Relationships between soybean quality and soil properties were more consistent between sites within years than across years within sites, indicating that soybean quality is infl uenced by soil-climate interactions that function on a regional basis.

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Section: Methodsmentioning

confidence: 99%

Soybean Yield and Quality in Relation to Soil Properties

et al. 2012

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“…Correlation coefficients were also calculated between STP changes and 2001 soil variables and between changes in STP per unit P net addition (removal) and 2001 soil variables. The temporal stability of spatial patterns in soil variables was determined by using the ranked correlation technique (Lamb and Rehm, 2002). Significance of P treatments on STP values over the length of the experiment was tested using a mixed‐effects ANOVA model using the R package nlme (Pinheiro et al, 2011), formulated with fertilizer P rate as the fixed effect and with year and main plot as random effects.…”

Section: Methodsmentioning

confidence: 99%

Soil Nitrogen and Phosphorus Behavior in a Long‐Term Fertilization Experiment

et al. 2012

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Accurate fertilizer recommendations rely on quantitative estimation of nutrients supplied by soil and fertilizer nutrients immobilized by soil. Understanding variation in these processes over space and time is critical for site-specifi c nutrient management. Our objective was to characterize spatial variability in N and P cycling for a corn [Zea mays L.]-soybean [Glycine max (L.) Merr.] rotation in southern Minnesota glacial-till soils. Soil samples and grain yield measurements were taken annually from 0.014-ha cells within two 16-ha fi elds. We determined eff ects of fertilizer P additions and crop P removal on soil test phosphorus (STP) and determined relationships between STP changes and soil variables. We also determined temporal stability of soil mineralizable N and inorganic N. Th e spatial patterns of mineralizable N were consistent over time. Th e spatial pattern of soil NO 3 -N was consistent with mineralizable N at a well-drained site, but not at a poorly-drained site. Change in STP per kg P net addition or removal exhibited spatial autocorrelation. Declines in STP under net P removal were directly related to initial STP values. Increases in STP under net P addition were signifi cantly related to pH at both sites and mineralizable N at one site. Temporal stability in mineralizable N suggests that predictive approaches to site-specifi c N management may succeed when the environment for mineralization is uniform. Within-fi eld variability in the relationship between STP and net P addition may substantially aff ect fertilizer P rates required to attain critical STP values and should be accounted for in variable-rate P applications.

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“…For instance, in India, the red soils found in ancient crystalline and metamorphic rocks are caused by the presence of iron oxides. As the Gondwana rocks have immature sedimentary rocks, the soils evolved are less fertile, 2hereas the basalts from the Deccan region are known as "black soils" because they are rich in minerals like titanium, magnetite, aluminum, and magnesium [9,10].…”

Section: Parent Materialsmentioning

confidence: 99%

Demographical identification of trace metals found in soil samples from India

Krishna¹,

Ahuja²

2023

Trace Metals in the Environment

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Soil complex mixture has various toxic and trace metals which helps to identify the demographical origin of the soil. The formation of soil undergoes changes due to external factors such as time, climate, parent material and biological factors such as the decay of plants, animals and microorganisms. However, there are certain elements in soil known as trace metals that are not affected by these external environmental factors. This chapter considers two approaches to these trace elements. The first highlights the usefulness of the trace elements present in the soil possessing essential nutrients whose presence in deficiency or excess affects the soil quality. Second, the analysis of this complex mixture of soil transferred from shoes, tyres of vehicles, crime scenes etc., to detect the presence of these trace elements. These are vital components in an agricultural ecosystem and help in investigative science (such as forensic soil science and preventive forensics), the analysis of which allows us to find out the origin of the soil. The soil analysis described in this chapter involves various instrumental techniques used to study the elemental composition of the soil, its morphological characteristics such as colour, consistency, texture etc., and the mineralogy of the soil. Due to the heterogeneous and complex nature of the soil, the information from this chapter can be used as a database to narrow down the objective of the subject under study. The chapter provides insights into understanding the presence of trace metals in soil, their analysis and their effects.

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Short-term stability of soil test phosphorus in agricultural fields

Cited by 7 publications

References 17 publications

Soybean Yield and Quality in Relation to Soil Properties

Soybean Yield and Quality in Relation to Soil Properties

Soil Nitrogen and Phosphorus Behavior in a Long‐Term Fertilization Experiment

Demographical identification of trace metals found in soil samples from India

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