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Record W2937292371 · doi:10.5539/jas.v11n5p419

Productivity of Rhizomes and Starch Quantification in Cultures of Different Vegetative Propagules of Arrowroot

2019· article· en· W2937292371 on OpenAlexvenueno aff
Douglas Correa de Souza, Paula Aparecida Costa, Luis Felipe Lima e Silva, Thiago Sampaio Guerra, Luciane Vilela Resende, Joelma Pereira

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGrowth and nutrition in plants
Canadian institutionsnot available
FundersFundação de Amparo à Pesquisa do Estado de Minas GeraisConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsRhizomeStarchPropaguleRandomized block designHorticultureBiologyShootBotanyDry weightAgronomyFood science

Abstract

fetched live from OpenAlex

Arrowroot rhizomes are rich in carbohydrate and are commonly grown by family farmers who have an important source of income in this activity and play a prominent role in the conservation of the species. There are few studies on the phytotechnical aspects of culture. The objective of this work was to evaluate the productive capacity of the ‘common’ arrowroot using different sizes and forms of propagation, aiming at the production of rhizomes and arrowroot starch, in different agricultural crops. The experimental design was the randomized block in a 4 × 2 factorial scheme, with 6 replicates. Four types of rhizome propagation (rhizomes-seeds of small size with a weight of 20 to 30 g; rhizomes-seeds of average weight between 30.01 to 45 g; rhizomes-seeds of large size weighing between 45.01 a 60 g, and seedlings produced in tissue culture), in two agricultural years (2015/2016 and 2016/2017). The variables total production, number of rhizomes, extraction yield and total starch production were evaluated. The type of propagule used interfered in the yield of rhizomes (9.85 to 34.75 t ha-1) and in the production of arrowroot starch (1.76 to 7.68 t ha-1). The vegetative propagation with pieces of rhizomes-seeds between 20 and 60 g was more viable than the micropropagation technique. Although the soil and climate conditions showed differences between the agricultural crops studied, they did not significantly influence the yield of rhizomes and arrowroot starch, by the type of propagule used.

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 score0.479
Threshold uncertainty score0.110

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 head0.015
GPT teacher head0.240
Teacher spread0.225 · 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
Published2019
Admission routes1
Has abstractyes

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