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Record W2741312826 · doi:10.5376/rgg.2017.08.0001

Association Analysis of Drought and Yield Related Traits in Upland Land Races of Rice

2017· article· en· W2741312826 on OpenAlexvenueno aff
Swapan K. Tripathy, Sasmita Dash, A. M. Prusti, Reshmi RajKR, Mihir Ranjan Mohanty, Somnath Panda, Asit Prasad Dash, Pavitra Mohan Mohapatra, Kartik Chandra Pradhan

Bibliographic record

VenueRice Genomics and Genetics · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRice Cultivation and Yield Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsUpland riceYield (engineering)AgronomyAssociation (psychology)GeographyBiologyOryza sativaGeneticsGenePsychology

Abstract

fetched live from OpenAlex

A set of ninety six land races including a few popular upland rice varieties were assessed to study inter-relationship of drought and yield related traits.  Number of ear bearing tillers/m2, panicle weight and fertility percentage correlated significantly with grain yield/ha and the latter two component traits have very high inter se significant positive correlation under drought stress. Bold kernel type was shown to have significant positive association with grain fertility percentage. Plant height and seed yield under drought stress was negatively associated with leaf rolling score which in turn had inverse relationship with flowering and maturity duration. Thus, drought tolerance in upland rice varieties could be assessed in terms of improved grain filling and such characteristic feature may be associated with genotypes having intermediate plant height, moderate flowering and maturity duration.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score0.106

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)0.0000.000

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 head0.019
GPT teacher head0.226
Teacher spread0.207 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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