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Record W2333363086 · doi:10.5539/sar.v5n2p57

Maize Yield Response to Induced Compaction in a Sandy-Loam Soil

2016· article· en· W2333363086 on OpenAlexvenueno aff
Asinyetogha H. Igon, Josiah M. Ayotamuno

Bibliographic record

VenueSustainable Agriculture Research · 2016
Typearticle
Languageen
FieldEngineering
TopicSoil Mechanics and Vehicle Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsLoamCompactionAgronomySoil compactionDry matterSoil waterIrrigationBulk densityEnvironmental scienceMathematicsSoil scienceBiologyGeology

Abstract

fetched live from OpenAlex

<p>In this paper the compaction level of a sandy-loam soil in a humid tropical climate, most suited for maize cultivation for high productivity was investigated. This involved studying the yield of maize under varying compaction conditions of the soil. Five experimental plots of land at the teaching and research farm of the Rivers State University of Science and Technology, Port Harcourt, Nigeria were used for the exercise. Four of the plots were tilled, while one was left in its original state. Three of the four tilled plots were compacted by wheel traffic; and the compaction values of all the five plots, measured by their bulk densities are 1.17g/cm<sup>3</sup>, 1.20g/cm<sup>3</sup>, 1.23g/cm<sup>3</sup>, 1.28g/cm<sup>3</sup>, and 1.35g/cm<sup>3</sup>. The plot that was left in its original untilled and un-compacted state was used as the control plot. Irrigation of the field, weed and pest controls were done uniformly for all the plots. The maize plant was cultivated between October and February and its growth and yield estimated in terms of plant height, leaf area, number of plants to reach maturity, and quantum of dry matter and grain obtained. Results of early shoot emergence showed that plots with lower bulk densities had higher percentage emergence than the ones with higher bulk densities. Furthermore, it was found that the maize yield was significantly affected by the soil bulk density at P<0.05. A compaction value of 1.31g/cm<sup>3</sup> is determined as optimal for maize cultivation in a sandy-loam soil in a humid tropical environment.</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.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.657
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.294
Teacher spread0.266 · 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 teacher head, 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

Citations8
Published2016
Admission routes1
Has abstractyes

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