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Record W1888652182 · doi:10.4141/cjps2011-199

Reduced-stature <i>Rosa</i> species through in vitro mutagenesis

2012· article· en· W1888652182 on OpenAlexaffvenue
Mirza Muhammad Qadeer Baig, I. A. Hafiz, Nadeem Akhtar Abbasi, Muhammad Yaseen, Zohaib Akram, Danielle J. Donnelly

Bibliographic record

VenueCanadian Journal of Plant Science · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Genetic and Mutation Studies
Canadian institutionsMcGill University
FundersHigher Education Commision, Pakistan
KeywordsShootAcclimatizationBiologyHorticultureBotanyMicropropagationIn vitroTissue culture

Abstract

fetched live from OpenAlex

Baig, M. M. Q., Hafiz, I. A., Abbasi, N. A., Yaseen, M., Akram, Z. and Donnelly, D. J. 2012. Reduced-stature Rosa species through in vitro mutagenesis. Can. J. Plant Sci. 92: 1049–1055. Plant height is one of the main attributes affecting general appeal and beauty of roses (Rosa spp.). Among the highly scented rose species, R. gruss an teplitz, R. centifolia, and R. borboniana, have great potential horticultural and commercial value. However, their large plant size detracts from recent trends towards selection of smaller plants for emerging markets and high-density plantations. This study aimed to produce reduced-stature plants through in vitro mutagenesis using gamma irradiation (Co 60 ). Shoot tips cut from micropropagated shoots were exposed up to 120 Gy. Irradiated shoot tips were micropropagated for one culture cycle. Surviving shoots were rooted in vitro then acclimatized for 2 mo in a greenhouse. The shoot tip LD 50 after gamma irradiation was species-dependent and 33–54 Gy. In this dose range, survival during in vitro rooting and acclimatization was also affected; this was 64 to 24% and 34 to 14% of control values, respectively. Acclimatized transplants were 17 to 56% smaller with 16 to 51% less leaf area compared with the controls. In order to ascertain stability putative reduced-stature roses will be monitored for vegetative and floral characteristics over the next few years. This study adds to the ongoing efforts to obtain reduced-stature rose plants for horticultural purposes.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.031
GPT teacher head0.218
Teacher spread0.187 · 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 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

Citations7
Published2012
Admission routes2
Has abstractyes

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