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Record W2290349523 · doi:10.5539/jas.v8n2p98

Influence of the Soil Solarization Management and Fertilizer on Soil Temperature under Different Soil Tillage Systems

2016· article· en· W2290349523 on OpenAlex
Ahmed Abed Gatea Al-Shammary, Jamal Naser Abedalrahman Al-Sadoon, Nabil Raheem Lahmod

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 · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMulchTillageFertilizerPloughAgronomyEnvironmental scienceSoil managementSolarisationSoil testSoil waterSoil scienceBiology

Abstract

fetched live from OpenAlex

<p>The soil tillage system can notably influence soil solarization system under dry land farming in semiarid areas. Field experiments were conducted from 6/6/2013 to 1/9/2013, to evaluate the effects of soil tillage system, soil solarization system and fertilizer type on soil temperature at three depths as well as influence at gap between the mulch and soil surface. The experiment included three experimental factors. The first factor, soil tillage systems (moldboard plowing followed by spring disking {MP},<em> </em>Rotary plough {RP}), the second factor represent the soil mulching systems in three levels (transparent mulch, black mulch and without mulch {control}), the third factor includes three fertilizers types (compose fertilizer; in compose fertilizer and chemical fertilizer). The results showed that the experimental factors effects on soil temperature, when used soil tillage system (MP), the higher soil temperature recorded at 10 cm depth ,its value 70 <sup>o</sup>C ( time 11 am) when mean solar radiation 1146 w/m<sup>2</sup> in soil transparent mulching system and chemical fertilizer, as well as for treatment soil black mulch and compose fertilizer, but the lower soil temperature recorded at 30 cm depth, its value 35.8 <sup>o</sup>C (time 1 pm) when mean solar radiation 1147 w/m<sup>2</sup> in soil transparent mulch and chemical fertilizer treatment. The highest soil temperature recorded at 10 cm depth, when used soil tillage system (RP), its value 78.3 <sup>o</sup>C (time 11 am) when mean solar radiation 1125 w/m<sup>2</sup> in soil black mulch and chemical fertilizer, but the low soil temperature recorded at 30 cm depth, its value 41 <sup>o</sup>C (time 3 pm) when mean solar radiation 900 w/m<sup>2</sup> in soil transparent mulch and compose fertilizer treatment. Moreover, the results showed the maximum temperature at gap between the mulch and the soil surface occurs at noon. Addition the obtained results demonstrated that all soil mulching system raised soil temperature substantially compared with without mulched.</p>

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)0.000
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 score0.944
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.008
GPT teacher head0.192
Teacher spread0.184 · 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