MétaCan
Menu
Back to cohort
Record W3097601467 · doi:10.5539/sar.v10n1p1

Grain Yield of Maize Hybrids in Response to Inoculation with Azospirillum sp. under Nitrogen Limiting Conditions in Huaura, Peru

2020· article· en· W3097601467 on OpenAlexvenueno aff
Elin Teodoro-Cerna, Eroncio Mendoza Nieto, Sergio Contreras-Liza

Bibliographic record

VenueSustainable Agriculture Research · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCrop Yield and Soil Fertility
Canadian institutionsnot available
Fundersnot available
KeywordsMicrobial inoculantAgronomyHybridInoculationRandomized block designBiologyHuman fertilizationNitrogenYield (engineering)Grain yieldNitrogen fertilizerFertilizerHorticultureChemistry

Abstract

fetched live from OpenAlex

This experiment was conducted to evaluate the effect of Azospirillum sp. inoculated with different nitrogen levels (0, 60, 90, 180 kg ha-1) on grain yield, yield components and agronomic traits of hybrid maize at the arid conditions of the central coast of Peru. The experimental design used was randomized complete block design with four replications per treatment, under the arrangement of subdivided plots, in which three corn hybrids were assigned to complete plots and four inoculant-N fertilization treatments, to the subplots. The results showed that for dose fertilization of 180 kg ha-1 of nitrogen (control), the grain yield of hybrid corn was similar as compared to 60-120 kg ha-1 N fertilization inoculated at 15 and 45 days with a native strain of Azospirillum sp., suggesting that the response in grain yield for hybrid corn can be balanced with nitrogen fertilization and inoculation with Azospirillum sp. 1x108 CFU mL-1 in conditions of arid soils, with possible impact on the use of this microorganism in the maize production system

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.296
Teacher spread0.248 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueSustainable Agriculture ResearchSame topicCrop Yield and Soil FertilityFrench-language works237,207