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Record W102703401

Valutazione della compattazione nei suoli vitati della Regione Veneto

2012· article· it· W102703401 on OpenAlexaboutno aff
Sabrina Piccolo

Bibliographic record

VenueResearch Padua Archive (University of Padua) · 2012
Typearticle
Languageit
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsnot available
Fundersnot available
KeywordsSubsoilSoil waterSoil textureEnvironmental scienceCompactionOrganic matterEuropean commissionWater contentSoil scienceHydrology (agriculture)Physical geographyEuropean unionGeographyGeologyGeomorphologyGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

The subject of this PhD thesis is the soil compaction, one of the "eight threats" of soil degradation identified by the European Commission. To assess the risk of compaction we used two models. The method of Jones et al. (2003), adopted in the project ENVASSO by the JRC of the European Commission, identifies the susceptibility to compaction based on texture and bulk density and, by means of a climatic index of subsoil moisture, allows the estimation of vulnerability. It was applied to the soils of the plains of the Veneto region identified by the soil map of the Veneto region in scale 1:250.000. The map of the vulnerability highlights that most of the soils are not vulnerable or moderately vulnerable; the method, therefore, is more suited to northern European countries than our lands, because it considers clay soils, already compacted, at low susceptibility, while coarse soils and those rich in organic matter, not at all compacted, at very high susceptibility. It was subsequently used the model of the Agriculture Agri-Food Canada (AAFC), which considers the content of organic carbon (CO) at the A horizon, the surface texture and drainage. It was chosen as the reference area the DOC Piave area and, using the ARPAV soil database, the maps of the various parameters and the final vulnerability were made. Soils with low CO (<1.7%), with fine to medium fine surface texture, moderately well to imperfectly drained have a high vulnerability to compaction, but also soils with low CO content, with medium texture and poorly drained. Therefore, the most of vineyard soils in the DOC Piave area (82% of the Cartographic Units) is characterized by a vulnerability at least moderate that requires the adoption of appropriate soil management practices to ensure its conservation. The AAFC model has produced results consistent with expectations, it feels far more effective than the previous. The validation activities in the field was initially conducted in the Giuseppe Cescon winery in Chiarano (TV), which fall in different classes of vulnerability. Measures of bulk density and penetration resistance were carried out, in the wheel traffic and in the inter-row in order to compare the natural situation with compacted one. Two sites (F soil and FLA soil)were chosen to measure the parameters. The results show that the bulk density on the wheel traffic is greater than on the inter-row both in the F soil and in the FLA soil, with higher values in more clay soil. From the measurements with the penetrometer, it is noted that more clay soils in the wheel traffic causes a deepening of compaction than sandy soils. We also observed higher values in the FLA soil as the average and in the wheel traffic. To extend the verification to the entire Veneto, 20 wineries already involved in the European project BIO-BIO were investigated through the soil survey (drillings), texture, CO and other chemical parameters. The farms are located in the Pramaggiore area, on the north of Treviso Province, in the Euganean Hills and the hills of Verona. Among the 20 farms, 5 pairs have been chosen: within each pair there was a similar type of soil, one at organic conduction and one at conventional management; parameters analyzed were bulk density, penetration and chemical-physical characteristics. There were no significant differences in bulk density between wheel traffic and inter-row, even if there is a greater value in the wheel traffic. There are, however, significant differences in some chemical parameters (TN, S, TC, TOC, S, pH, EC) between organic and conventional management. From the data of penetration resistance it is evident that conventional farms have higher values than the organic farms, and are more compacted, and the value in the wheel traffic is much higher than in the inter-row, confirming that in the passage of machinery the soil is more compressed. It was also evaluated the depth of the compaction and we have seen that, within couples, the conventional winery presents higher values. The soils with higher organic matter content were less susceptible to compaction (eg. Filippi winery) while the soils rich in clay are more easily compactable (eg. Vicentini winery). In conclusion, the experimentation of the AAFC model in wineries has returned a set of values that can be consistently represent the vulnerability of soils.

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.139
GPT teacher head0.327
Teacher spread0.188 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2012
Admission routes1
Has abstractyes

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