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Record W2610885440 · doi:10.6000/1927-5129.2017.13.24

Evaluation of Raised-Bed and Conventional Irrigation Systems for Yield and Water Productivity of Wheat Crop

2017· article· en· W2610885440 on OpenAlex
Ashifa Soomro, Muhammad Nauman, Shakeel Ahmed Soomro, A. A. Tagar, Shoukat Ali Soomro, Mahmooda Buriro, Allah Wadhayo Gandahi, Aneela Hameem Memon

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicIrrigation Practices and Water Management
Canadian institutionsnot available
Fundersnot available
KeywordsLoamIrrigationEnvironmental scienceAgronomyYield (engineering)Deficit irrigationRandomized block designProductivityCropCrop yieldDrainageSurface irrigationSoil waterIrrigation managementSoil scienceBiology

Abstract

fetched live from OpenAlex

A study was conducted at Drainage and Reclamation Institute of Pakistan (DRIP), Tandojam in a clay loam soil. The treatments include raised-bed irrigation system (T1) and conventional irrigation system (T2). The experiment was laid down using randomized complete block design (RCBD) with three replications. The total area under experiment for each treatment and replication was 1004.65 m2 and 334.88 m2 respectively. Groundwater quality of experimental sight was slightly saline. Results of the experiment showed that there was highly significant difference in volume of water applied, yield and water productivity of wheat crop under the raised-bed and conventional irrigation systems. Both water saving (50.73%) and water productivity (54.37%) of wheat crop was higher under raised-bed irrigation system. The raised-bed irrigation system obtained 24.65% higher yield compared to conventional irrigation system. All other parameters were also higher under the raised-bed irrigation system. Thus raised-bed irrigation system is recommended to achieve higher yield and water productivity of wheat crop and to save water particularly in a clay loam soil.

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.

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)0.005
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score0.239

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
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)0.0000.000

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 head0.088
GPT teacher head0.296
Teacher spread0.208 · 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