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Record W2797116803 · doi:10.5539/jas.v10n5p63

Soil Structure and Porous System in Response to Plant Components of an Agrosilvopastoral System

2018· article· en· W2797116803 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Agricultural Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Management and Crop Yield
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsEnvironmental scienceSoil structureBulk densityAridSoil sciencePorosityAgronomyInfiltration (HVAC)Soil horizonSoil waterLeucaena leucocephalaBiologyGeographyGeologyEcologyGeotechnical engineering

Abstract

fetched live from OpenAlex

Production systems of agroecological nature, such as agrosilvopastoral systems, have been considered as beneficial in various regions of the world. In semi-arid regions, these systems can contribute not only to food production, but also to soil conservation. Considering the specificities of each plant component, it is supposed that there is a different influence on soil structure, so that some components can be more efficient than others in the improvement of this structure. In the present study, the objective was to evaluate physical attributes with emphasis on the pore distribution, shape and size of a Luvisol in the influence area of different plant components of an agrosilvopastoral system in the semi-arid region of the Ceará state. The study was carried out in an agrosilvopastoral system established in the municipality of Sobral (Ceará, Brazil), with a completely randomized strip-plot design and four replicates. The treatments corresponded to three plant components: arbustive (Leucaena leucocephala), arboreal (Poincianella pyramidalis) and agricultural (Zea mays); and four soil layers: 0.0-0.05, 0.05-0.18, 0.18-0.25 and 0.025-0.41 m. For physical and micromorphometric analyses, undisturbed soil samples were collected in profiles in the areas covered by the plant components. The following attributes were analyzed: soil density, soil-air intrinsic permeability, soil-water characteristic curve, total porosity and pore distribution by shape and size. The soil under the influence of the components L. leucocephala and P. pyramidalis showed better structure, represented by the lower values of density, higher intrinsic permeability to the air and larger total area of pores, in comparison to the soil under the influence of Zea mays. The unfavorable result of the annual crop is due not only to the plant component, but also to the grazing of crop residues in the management system.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score0.159

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.210
Teacher spread0.196 · 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