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Record W3149387843 · doi:10.1139/cjss10011

Soil quality as affected by amendments in bean-potato rotations

2011· article· en· W3149387843 on OpenAlexaffabout
A. Moulin, Katherine M. Buckley, K. M. Volkmar

Bibliographic record

VenueBioOne Complete (BioOne) · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsAgronomySoil waterStrawSeedingTillageEnvironmental scienceCrop residueManureResidue (chemistry)Green manureNo-till farmingChemistryBiologySoil scienceSoil fertilityAgricultureEcology

Abstract

fetched live from OpenAlex

Moulin, A. P., Buckley, K. E. and Volkmar, K. 2011. Soil quality as affected by amendments in pinto bean-potato rotations. Can. J. Soil Sci. 91: 533-542. The potential for adverse effects on soil quality and erosion in pinto bean-potato rotations is significant due to low levels of residue input to the soil following potatoes or beans, and the effect of tillage on soil structure, particularly in sandy-textured soils typical of the potato-growing area of Manitoba. Soil quality is reduced by low inputs of residue and carbon commensurate with an increase in the proportion of small and unstable aggregates susceptible to erosion. Furthermore N and P concentrations at the soil surface may be affected by various management options including fall cover crops, application of straw and the use of composted manure. In a study conducted at Carberry, MB, from 2000 to 2006, KCl-extractible NO3-N and Olsen P were determined in the fall prior to seeding in each year of the study. Water-soluble P, determined in the fall of 2005 for selected treatments, increased with application of compost. Soil organic C, total N and the proportion of erodible (<0.5-mm diameter) aggregates and stability of aggregates were measured in 2006 for treatments with fall-applied compost, cereal straw, and spring-applied anionic polyacrylamide (PAM). The proportion of erodible aggregates and aggregate stability were not consistently affected by treatment. Application of PAM did not affect stability of wet-sieved aggregates (1.3 to 2.0 mm), but decreased the proportion of small aggregates (<0.5 mm) in 2002. Soil C in the 0- to 5-cm depth increment increased with fall application of composted beef cattle manure. However, no effect was observed on the dry-sieved distribution of aggregates <0.5 mm in diameter. Soil quality, as indicated by an increase in soil organic C, can be improved by application of composted beef cattle manure, but levels of water-soluble P will increase, potentially increasing the risk of high concentrations of P in runoff. This research shows that the addition of compost and straw improves soil quality in terms of soil carbon and aggregate stability in bean-potato rotations. However, the proportion of erodible aggregates also increased, though not to levels that contribute significantly to soil erosion. Compost inputs must be monitored to reduce the potential for high concentrations and runoff of water-soluble P at the soil surface.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.326
GPT teacher head0.263
Teacher spread0.062 · 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 designBench or experimental
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

Citations6
Published2011
Admission routes2
Has abstractyes

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