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Record W2894646571 · doi:10.5539/jas.v10n11p436

Production of Caupi Beans and Chemical Attributes of a Latosol Under Soil Correction Levels

2018· article· en· W2894646571 on OpenAlexvenueno aff
Jessivaldo Rodrigues Galvão, Tiago Kesajiro Moraes Yakuwa, Leonardo Brandão Araújo, Francisco José de Oliveira Parise, Rosemiro dos Santos Galate, Ilano Silva Braga do Nascimento, Pedro S. da S. Campos, Ismael de Jesus Matos Viégas, Kalyne Pereira Miranda Nascimento, Leonardo de Almeida Oliveira

Bibliographic record

VenueJournal of Agricultural Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Management and Crop Yield
Canadian institutionsnot available
Fundersnot available
KeywordsLimeLatosolVignaCultivarAgronomyRandomized block designPhosphorusPopulationNutrientSoil pHSoil waterContext (archaeology)Soil fertilityMathematicsHorticultureBiologyChemistryEnvironmental scienceSoil science

Abstract

fetched live from OpenAlex

The cowpea [Vigna unguiculata (L.) Walp] represents an important source of income and employment in the northeastern region of Para, also being a valuable source of protein in the diet, especially for the rural population. However, the productivity is low, mainly due to the low fertility of the soils used in the region for the cultivation of this plant. In this context, the correction of the factors responsible for the soil limitations that lead to nutrient deficiency, by means of lime, is of great practical importance for obtaining greater yields of crops grown in acidic soils. The objective was to evaluate the effects of five doses of lime in the production of cowpea beans, BR3-Tracuateua and BR2-Bragança cultivars and chemical attributes of a dystrophic oxisoil, at Tracuateua city. The study was a randomized block designed experimental in a factorial (5 × 2) with four replications. The terms of the factorial refer to five doses of limestone and two cowpea cultivars. Liming increased pH and concentrations of phosphorus, calcium and magnesium, reducing the Al concentration and saturation. Lime dosages did not provide significant increases in grain production. The cultivar BR3-Tracuateua was more efficient in all liming levels, producing more than 30% of grain than the BR-2 Bragança.

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)0.000
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 score0.626
Threshold uncertainty score0.182

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 science0.0000.000
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 head0.027
GPT teacher head0.229
Teacher spread0.202 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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