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Record W2963405829 · doi:10.5539/jas.v11n13p115

Morphological Characteristics of Safflower Seedlings Under Compaction Levels in a Clayey Latosol

2019· article· en· W2963405829 on OpenAlexvenueno aff
Pablo Chang, Deonir Secco, Aracéli Ciotti de Marins, Luciene Kazue Tokura, Ricielly Eloyze Rosseto, Simone Andréia Roehrs, Claudia Borgmann, Lilian Cristina de Souza Madalena, Nayara F. F. da S. Cruz, Reginaldo Ferreira Santos, Bruna de Villa, Vitória Regina Morello Gongora, Benhurt Gongora, Jair Antônio Cruz Siqueira, Fernanda Nicole Zang

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Management and Crop Yield
Canadian institutionsnot available
Fundersnot available
KeywordsCarthamusLatosolSowingShootCompactionHorticultureDry weightSoil compactionBiologyAgronomyBulk densitySoil waterMaterials science

Abstract

fetched live from OpenAlex

This study aimed to evaluate the effect of soil compaction levels on initial development of safflower genotypes (Carthamus tinctorius). The experimental design was 2 × 2 × 6, composed of two sowing seasons (May and June 2017), two genotypes (IMA-2103 and IMA-4409) and six levels of soil density (1.0, 1.1, 1.2, 1.3, 1.4, and 1.5 g cm-3), with three replicates. After 30 days of planting, percentage of emergence, emergence speed index, mean time of emergence and mean speed of emergence were analyzed. Among the morphological characteristics, plant height, stem diameter, root length, shoot and root fresh mass, shoot dry mass and number of healthy and wilted leaves were evaluated. The compaction states did not significantly interfere in the emergence of the safflower seedlings that were sown in the uncompacted surface layer. As soil compaction increased, root length, shoot fresh mass, shoot dry mass and root fresh mass were reduced in both genotypes. Soil density considered critical to safflower root growth was 1.3 g cm-3. The IMA-4409 genotype, in relation to IMA-2103, was more tolerant to soil compaction levels.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.232
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2019
Admission routes1
Has abstractyes

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