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Record W2935689976 · doi:10.5539/jas.v11n5p433

Cutting Height of Mombasa Grass Under Silvopastoral and Monoculture Systems

2019· article· en· W2935689976 on OpenAlexvenueno aff
Marcos Odilon Dias Rodrigues, Antônio Clementino dos Santos, Otacílio Silveira Júnior, Leonardo Bernardes Taverny de Oliveira, Raimundo Laerton de Lima Leite

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgroforestry and silvopastoral systems
Canadian institutionsnot available
Fundersnot available
KeywordsMonocultureRandomized block designAgronomyMathematicsShadingProductivityEnvironmental scienceBiologyAnimal science

Abstract

fetched live from OpenAlex

This study aimed to evaluate the production of Mombasa grass cultivation under two different systems: monoculture and silvopastoral, with heights of 70, 80, 90, and 100 cm. Two seasons were evaluated: rainy period (December to March) and rain/drought transition (March to June). The variables evaluated were: total dry mass (TDM), dry mass (DM) of the morphological components, number of tillers, efficiency of nitrogen use, DM content, number of harvest cycles and cutting intervals. The experimental design was a randomized block design with five replications. The monoculture system presented the highest yields of TDM, number of tillers and DM of the morphological components in the two evaluated periods. The main variable affected by shading was the number of tillers per area, which directly affects all variables linked to production. In addition to the type of system, the time of the year also influenced the production of DM of the grass. The evaluation of grass productivity in silvopastoral system evidenced that the plant tends to respond differently to cutting management when compared to the monoculture system. In the monoculture system, the recommended height for greater TDM yield and better leaf/stem ratio in the rainy period and the rainy/drought transition period was 80 cm, maintaining the residue height at 40 cm. As for SSP, cutting height of 70 cm presented the highest TDM and leaf/stem ratio for the two evaluated periods, maintaining the residue height at 40 cm.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.933
Threshold uncertainty score0.225

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.201
Teacher spread0.191 · 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 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

Citations6
Published2019
Admission routes1
Has abstractyes

Explore more

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