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Record W4406970400

Seleção de inoculantes à base de turfa contendo bactérias diazotróficas em duas variedades de arroz = Selection of peats inoculants with diazotrophic bacteria in two rice varieties

2010· article· pt· W4406970400 on OpenAlexaboutno aff
V. L. D. Baldani, José Ivo Baldani, Joílson Silva Ferreira

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2010
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicCassava research and cyanide
Canadian institutionsnot available
Fundersnot available
KeywordsMicrobial inoculantDiazotrophOryza sativaBacteriaBiologyHorticultureNitrogen fixation
DOInot available

Abstract

fetched live from OpenAlex

O estudo consistiu em avaliar a sobrevivência e a eficiência das bactérias diazotróficas Herbaspirillum seropedicae, Burkholderia sp. e Azospirillum brasilense, inoculadas em dois tipos de turfas. A sobrevivência das bactérias foi determinada pelo método do NúmeroMais Provável (NMP), durante o armazenamento de até seis meses. A eficiência foi avaliada pela contribuição destas bactérias nos parâmetros agronômicos de acúmulo de massa seca e N-total dos grãos nas variedades de arroz IR42 e IAC4440. O experimento foi conduzido emvasos com solo, em delineamento inteiramente casualizado com três repetições, em arranjo fatorial 2 x 4. Os dados obtidos mostraram que o inoculante contendo a estirpe de Burkholderia sp. manteve o número de células viáveis em torno de 108 cel. g-1 de turfa no período testado, enquanto nos demais inoculantes este número ficou em torno de 106. Os ensaios de inoculação não mostraram diferenças significativas quanto à origem das turfas usadas como veículo sobre os parâmetros agronômicos e sobrevivência das bactérias. O tratamento que continha H. seropedicae manteve o acúmulo de massa seca e N-total dos grãos estatisticamente igual ao tratamento que recebeu 40 kg N ha-1, embora tenham sido observados aumentos de 13 e 19,4% nestes parâmetros na variedade IAC4440. Os resultados mostraram-se promissores quanto à utilização da prática de inoculação na cultura do arroz. The study consisted of a comparison of two-peat materials (Brazil and Canada) containing different C-total content. The peats were inoculated with strains of Herbaspirillum seropedicae ZAE 94, Burkholderia sp. M130, and Azospirillum brasilense Sp109, and monitored during a period of six months in relation to variation on humidity and survival of bacteria in the inoculant. The quantification of viable cells in the inoculant was measured by the Most Probable Number (MPN) method. The rice seeds were pelleted with the respective inoculants, grown in pots containing soil and maintained outside a greenhouse. The dry mass accumulation, Npercent, N-total and yield were determined during the plant cycle. The humidity content varied with storage period. The survival measurement showed that only Burkholderia sp. M130 maintained the number of viable cells around 108 g-1 of peat, while there was a reduction in population of other strains. An increase of yield and total N of 13 and 19.4%, respectively in comparison to treatment fertilized with 40 kg N ha-1 was observed for variety IAC4440,inoculated with strain ZAE94. There was no difference in yield of the IR42 inoculated with either ZAE94 or M130, as compared to N control treatment. No significant difference in development of both rice varieties was observed for both peat used. The results suggest that peat can be used as a carrier for production of an inoculant based on diazotrophic bacteria, since it allowed maintenance of a bacterial population up to 108 cells g-1 peat during the storage period of up to100 days. The results obtained encourage the practice of inoculation of non-leguminous plants.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.173
GPT teacher head0.488
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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