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Record W38709390 · doi:10.1007/s12560-024-09597-0

SPECIATION OF PHOSPHORUS IN MANURE- AND INORGANIC FERTILIZER-AMENDED SASKATCHEWAN SOILS

2013· article· en· W38709390 on OpenAlexaboutno aff
Gourango Kar

Bibliographic record

VenueFood and Environmental Virology · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicSoil and Water Nutrient Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsManureLoamSoil waterFertilizerAgronomyEnvironmental scienceManure managementPhosphorusChemistryBiologySoil science

Abstract

fetched live from OpenAlex

Concern over excess phosphorus (P) input and loading in some soils of the Canadian prairie region has led to a need for a better understanding of the fate of added manure and fertilizer P. Information on the effects of manure application over long term (i.e., years) and short term (i.e., weeks, months) as related to management practices and manure form is still lacking. Knowledge of the P forms and species present in soil following application of manure and inorganic P fertilizers, and linking this to potential P availability and mobility is needed to make sound P management recommendations. The objective of this thesis project was to assess the speciation of soil P in different manures and inorganic fertilizer-amended Saskatchewan soils as affected by time, presence and absence of plants, landscape position, soil type, and management practices including rate and placement. Three studies were conducted (growth chamber and field-based experiments) to study P behavior in soils. These studies closely followed a time scale, beginning with speciation and fate followed over the very short-term (i.e., days to weeks) to a short-term period (i.e., months to a year) following amendment application, and finally the effects of repeated annual manure additions made over the long term (i.e., 11 years). Soils used in this study were loamy textured Brown and Black Chernozems. Solid cattle manure (SCM) and liquid hog manure (LHM) were applied at low and high rates in the very short-term and long-term studies. The low rate of SCM and LHM application was 7.6 T ha-1 yr-1 (dry weight) and 37,000 L ha-1 yr-1, respectively which was equivalent to approximately 100 kg total N ha-1 yr-1 application (agronomic N rate). The high rate was four times this amount. Inorganic fertilizer (mono-ammonium phosphate blended with urea) at rate of 54 kg N ha-1 and 12 kg P ha-1 and SCM at rate of 60 T ha-1 were applied in the short-term study. A sequential chemical extraction procedure was used to fractionate P in very short-term and short-term studies and different soil test phosphorus (STP) methods were used to determine effects on the labile P in the long-term study. Changes in P speciation with time and their relative proportions in fertilizered soils were also assessed using the synchrotron-based X-ray absorption near-edge structure (XANES) spectroscopy in all studies. This study has revealed that manure, especially SCM elevates labile P over all time frames examined. Over the very short-term (i.e., weeks to a month), P was added as manure tends to remain in labile forms like brushite and adsorbed P that is accessible to plants for uptake. In the manure band (months to a year), manure P was relatively unchanged over a period of months while in the mono-ammonium phosphate (MAP) fertilizer band, adsorbed and Ca-P was readily formed from fertilizer P. Aging over several years (one to eleven years), along with high soil pH and high Ca:P ratio enhanced formation of more stable Ca-P minerals like apatite, especially in SCM amended soil. Overall, the unique combined use of wet chemical analysis and synchrotron-based techniques in this thesis research has improved our understanding of fate and transformation of P added to prairie soils. It is suggested that future studies of fate of applied P in soil also utilize a combination of wet chemical and spectroscopic techniques, as this was shown to be a rewarding approach.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.822
Threshold uncertainty score0.354

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.159
Teacher spread0.155 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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