MétaCan
Menu
Back to cohort
Record W2012610744 · doi:10.1139/g10-010

GISH characterization of <i>Erianthus arundinaceus</i> chromosomes in three generations of sugarcane intergeneric hybrids

2010· article· en· W2012610744 on OpenAlexvenueno aff
Nathalie Piperidis, Jianwen Chen, Hai-hua Deng, Liping Wang, P. Jackson, George Piperidis

Bibliographic record

VenueGenome · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSugarcane Cultivation and Processing
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyIntrogressionSaccharumHybridCultivarSaccharum officinarumChromosomeBotanyAgronomyGeneticsGene

Abstract

fetched live from OpenAlex

Within Erianthus, a genus close to Saccharum, the species E. arundinaceus has the potential to contribute valuable traits to sugarcane, including adaptation to biotic and abiotic stresses and ratooning ability. Sugarcane breeders have tried for a long time to use Erianthus species in their breeding programs but until recently were constrained by a lack of fertile Saccharum x Erianthus hybrids. We report here for the first time the chromosome composition of fertile Saccharum officinarum x E. arundinaceus F1, BC1 (F1 x sugarcane cultivar), and BC2 (BC1 x sugarcane cultivar) hybrids. The F1 and BC2 resulted from n + n chromosome transmission, while the BC1 resulted from 2n + n transmission. In the BC1 clones, the number of E. arundinaceus chromosomes ranged from 21 to 30, and in the BC2 clones, the number ranged from 14 to 15, revealing cases of chromosome loss. No recombination events between Saccharum and Erianthus chromosomes were observed in either the BC1 or BC2 clones. The implications of these results for introgression of genes from E. arundinaceus in sugarcane breeding programs are discussed. We propose a strategy to identify the agronomic value of chromosomes from E. arundinaceus and to conduct targeted breeding based on this information.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.215
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), 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

Citations55
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueGenomeSame topicSugarcane Cultivation and ProcessingFrench-language works237,207