Soil Science Society of America Journal · 2015 · 46 citations · 67 references
AgricultureAgronomySoil SciencesSoil BiogeochemistrySoil ChemistrySoil ScienceManure Nutrient ManagementPhosphorus CyclePhosphorus CyclingPhosphorus ManagementSoil Organic Matter FractionsSoil Phosphorus ChemistryAnimal Manure ManagementEnzymatic HydrolysisHydrolysisLabile Soil Organic MatterLegacy PhosphorusLitter Amendment ApplicationSequential ExtractionSoil Phosphorus Fractionation
Sequential fractionation coupled with phosphatase hydrolysis allows a greater understanding of the effects of animal manure on the chemical distribution of soil P. Concentrations of specific soil P fractions were determined after long-term (>10 yr) poultry litter application at rates of 4.5, 6.7, 9.0, 11.2, and 13.4 Mg manure ha−1 yr−1 to watershed-scale plots (cultivated and grazed–ungrazed pasture) on a calcareous Texas Blackland Vertisol. Soil total extractable P (Pt) and inorganic P (Pi) were quantified following sequential extraction with H2O, NaHCO3, NaOH, and HCl. Hydrolyzable organic P (Pe) and non-hydrolyzable organic P (Pne) were determined in the extracted fractions following enzymatic hydrolysis. Litter application increased Pt regardless of land-use type compared with the control. Concentrations of H2O-extractable Pi in litter-amended plots increased by 9 to 34% (cultivated) and 7 to 30% (pasture) over the control, indicating substantial risk of soluble P runoff. Labile organic P (Po) extracted with H2O and NaHCO3 decreased in the order monoester > nucleic acid > phytate > Pne. An average of 68% of Pt was extractable with HCl. Organic P comprised the majority (95%) of HCl-Pt; however, only trace levels of HCl-Po were hydrolyzable, and litter application increased HCl-Pne up to 217%. Thus, litter application increased levels of both soluble Pi and stable Pne, but the specific response varied with application rate and land management. This study increased understanding of P chemical distribution with time in litter-amended soil with high clay and CaCO3 contents under differing land-use scenarios.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Field management effects on soil enzyme activities
Anna Katrina Bandick, Richard P. Dick · Soil Biology and Biochemistry · 1999 · 1.2K citations
Agriculture, Agronomy, Soil Sciences +14