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Record W2799885887 · doi:10.5539/jas.v10n6p184

Influence of the Nutritional Aspects on Initial Growth of African Mahogany (Khaya ivorensis A. Chev.)

2018· article· en· W2799885887 on OpenAlexvenueno aff
Camila Oliveira Muniz, Eliana Paula Fernandes Brasil, Lucas Morais Lôbo, Evaldo de Melo Ferreira, João Augusto da Silva, Juliana Oliveira da Silva, Ivandilson Pessoa Pinto de Menezes, Guilherme Malafaia

Bibliographic record

VenueJournal of Agricultural Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsnot available
FundersUniversidade Federal de Goiás
KeywordsKhayaRandomized block designSowingHorticultureAnimal scienceSaturation (graph theory)Plant growthBotanyChemistryMathematicsBiology

Abstract

fetched live from OpenAlex

Khaya ivorensis A. Chev. (African mahogany) is one of the most economically important forest species, since it is used in the international furniture market. However, little is known about its culture and nutritional requirements. This study aimed to assess the development of K. ivorensis plants subjected to different base saturations, as well as to different N, P and K levels. An 8-ha area was used, wherein 4 ha had base saturation increased to 55% and the remaining 4 ha to 75%. The experimental design adopted was randomized blocks with eight repetitions in a factorial scheme (4 × 4 × 4), being four N doses, four P doses and four K doses. The base saturation was assessed through the block effect. The root collar diameter and the plant height were measured 12 months after planting. Each experimental plot comprised six plants. The root collar diameter showed statistical differences between blocks and N doses. Only the NPK association showed statistical variation in plant height. However, a growth decreasing trend resulting from increased N doses was observed, as well as a growth increasing trend resulting from increased P and K doses. All treatments favored African mahogany growth. The most indicated base saturation was 55%, since there was no plant growth improvement when V% was increased to 75%. The excess of N impaired the growth of the species. The best treatment comprised 60 g urea, 240 g triple superphosphate, and 168 g potassium chloride.

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)0.001
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 score0.881
Threshold uncertainty score0.784

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
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 head0.014
GPT teacher head0.222
Teacher spread0.207 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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