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Record W2585630789 · doi:10.6000/1927-5129.2017.13.03

Phosphorus Adsorption Capacity of Four Soil Series for P Requirement of Wheat (Triticum aestivum L)

2017· article· en· W2585630789 on OpenAlexvenueno aff
Riaz Uddin, Parwaiz Ahmed Baloch, Sajid Iqbal, Qazi Mehmood Ali, Akhlaq Ahmed, Muhammad Abbas Bhutto, Syed Shahbuddin Qadri

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Science and Fertilization
Canadian institutionsnot available
Fundersnot available
KeywordsPhosphorusKhyber pakhtunkhwaDry matterAnimal scienceShootAgronomyChemistryYield (engineering)MathematicsBiologyMaterials science

Abstract

fetched live from OpenAlex

A pot experiment was conducted in order to know the phosphorus requirement of wheat as affected by different levels of phosphorus (P) for obtaining 95% relative yield grown in four soil series i.e. Gishkori, Buzdar, Sultanpur and Tikken of Dera Ismail Khan Khyber Pakhtunkhwa, Pakistan. The various treatment levels were consisted of 0, 5.5, 11.0, 16.5 and 22.0 mg P/kg of soil. Wheat dry matter yield remained at highest (1.1g) where P was supplemented at 22.0 mg P/kg in Gishkori and lowest (0.95g) in Tikken soil with the same P applied level. An increase in phosphorus concentration was recorded in wheat shoot with an increase in applied P level. Maximum phosphorus percentages recorded in wheat were 0.28 and 0.26 grown in Gishkori and Buzdar soil series followed by Sultanpur and Tikken with values of 0.11 and 0.10 respectively against P applied level of 22.0 mg P/kg soil. Minimum P concentration was noted in control. The phosphorus content of wheat and P levels were highly correlated with r values of 0.99. 0.99. 0.98 and 0.74 for Gishkori, Buzdar, Sultanpur and Tikken soil series respectively.

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)0.000
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 score0.006

Distilled classifier scores by category (both heads)

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

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 head0.066
GPT teacher head0.257
Teacher spread0.191 · 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".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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