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Record W2972537634 · doi:10.5539/jas.v11n16p30

Potential Forage of Manihot spp. Under the Effect of Cuts and Sources of Organic Fertilization

2019· article· en· W2972537634 on OpenAlexvenueno aff
Francisco Hugo Hermógenes de Alencar, Divan S. da Silva, Alberício Pereira de Andrade, Riselane de Lucena Alcântara Bruno, João Luciano de Andrade Melo Júnior, Luan Danilo F. de A. Melo, Ariosvaldo Nunes de Medeiros

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCassava research and cyanide
Canadian institutionsnot available
Fundersnot available
KeywordsManihotOrganic matterPetiole (insect anatomy)CuttingGreen manureManureEuphorbiaceaeBiologyDry matterDeserts and xeric shrublandsAgronomyForageManihot esculentaHorticultureBotanyEcology

Abstract

fetched live from OpenAlex

Manihot spp. (family Euphorbiaceae), commonly known as pornunça, is a forage plant that has been used in animal feed. This study was conducted to evaluate the effects of different conditions of organic adduction and cuts on the growth, productivity, and partition of aerial phytomass of pornunça in the Brazilian semiarid region. This work is part of a study to discover species of the Brazilian caatinga biome with agricultural potential. An experiment was conducted in the region of Cubatí - PB, Brazil, mesorregion of Borborema, and microregion of Seridó Oriental. The experimental design included randomized blocks with subdivided plots comprising two manure plots (bovine and ovine) and four cut subplots (February, June and October 2011, and February 2012). The sprout height, stem diameter, number of leaves, number of branches, green matter of the complete fraction, leaf green matter, green matter of the petiole, and green matter of the branch were evaluated. For sprout height, stem diameter (≤ 1.0 cm), green matter of the complete fraction, green matter of leaf limb, green petiole matter, and green matter of the branch, the best results were obtained in the first and second cuts. In contrast, the first and third cuttings allowed the management of a greater number of leaves and a greater number of branches of pornunça using both cattle manure and sheep manure and exhibited a morphophysiological characteristic of adaptation to the xeric environment, being a water deficit tolerant plant.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.144

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 communication0.0000.000
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 head0.007
GPT teacher head0.218
Teacher spread0.211 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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