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Record W4411656638 · doi:10.51847/d4afjpkpyx

10.51847/d4AFJPKpYX

2000· article· en· W4411656638 on OpenAlexvenueno aff

Bibliographic record

VenueTime to knit · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRice Cultivation and Yield Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsMorphoGenotypeBiologyHeat stressStress (linguistics)Water stressAgronomyHorticultureBotanyAnimal scienceGeneGenetics

Abstract

fetched live from OpenAlex

Heat stress remains a major environmental factor which decreases the yield and productivity of most cereals growing worldwide.The research work was performed to analyze the influence of heat stress on the performance of morpho-physiological characteristics of Triticum aestivum genotypes at NARC Islamabad, Pakistan during 2014 -2015.Various traits of wheat were evaluated by using complete randomize design with triplicates.Analysis of variance reveals adverse influence of heat stress on observed traits of selected genotypes.The result indicates that extreme temperature causes reduction to grain yield, yield per plant.All genotypes responded different against heat stress as compared to optimum temperature.Among all varieties, genotypes 1067, 1123, 1124, 1137, 1154, 1159 and 1163 confirmed most tolerable to heat stress regarding seeds yield per plant, proline content, membrane stability index and total chlorophyll contents.It is suggested that heat stress tolerant varieties should be used in plant breeding programs in the development of different wheat varieties having heat stress tolerance at different stages of plant growth and further research studies should be investigated for the progress of potential heat acceptable genotypes in high temperature regimes.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.976
Threshold uncertainty score0.092

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)0.9960.942

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 head0.011
GPT teacher head0.172
Teacher spread0.161 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2000
Admission routes1
Has abstractyes

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