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Record W388590182

Testing and Selecting Drought Resistant Common Bermudagrass Genotypes

2013· article· en· W388590182 on OpenAlexaboutno aff
Yichen Liu

Bibliographic record

VenueSHAREOK (University of Oklahoma) · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicTurfgrass Adaptation and Management
Canadian institutionsnot available
FundersOklahoma State University
KeywordsDrought resistanceAgronomyBiology
DOInot available

Abstract

fetched live from OpenAlex

Bermudagrass (Cynodon dactylon (L.) Pers.) is a perennial warm-season turfgrass that is widely used in the central and southern part of the United States. The drought performance of 67 experimental selections made from the normally seed-propagated cultivars 'Yukon', 'Riviera' and ' OKS 2004-2' bermudagrass, with two cultivars `Celebration' and `Premier' serving as standards. Field research plots were established at the Oklahoma State University Turfgrass Research Center in Stillwater, OK in 2012 in a randomized complete block design with four replications. Plots were evaluated in the field during and following a one month drought treatment period in 2012 and 2013. Plots received no water from irrigation or natural rainfall during the treatment period. Right after the drought period, plots were irrigated to allow grass recovery and the recovery rate was measured. Parameters measured included turf quality, leaf firing, normalized difference vegetation index, soil volumetric water content, and digital image analysis. Based on data collected in 2012 and 2013, two experimental genotypes, `1x9' and `20x7', showed significant improvement in field drought performance compared to all other entries and performed better than the highly drought resistant standard Celebration.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0020.000

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 head0.013
GPT teacher head0.177
Teacher spread0.164 · 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.

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

Citations1
Published2013
Admission routes1
Has abstractyes

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