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Record W3215701773 · doi:10.5376/mp.2021.12.0001

Construction of F<sub>1</sub> Populations of <i>S. spontaneum</i> L. and Sugarcane and Molecular Detection of Genetic Diversity

2021· article· en· W3215701773 on OpenAlexvenueno aff
Yuqiang Guo, Cheng Fu, Huanying Xu, Hailong Chang, Jiantao Wu, Yongsheng Qiu, Qinnan Wang

Bibliographic record

VenueMolecular Pathogens · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSugarcane Cultivation and Processing
Canadian institutionsnot available
Fundersnot available
KeywordsUPGMAGenetic similarityBiologyHybridGenetic diversityOffspringGermplasmSimilarity (geometry)GeneticsInheritance (genetic algorithm)Pedigree chartEvolutionary biologyGenetic variationBotanyGeneArtificial intelligenceComputer science

Abstract

fetched live from OpenAlex

In order to obtain more hybrid offspring with excellent traits of Saccharum spontaneum L., this research used the YN 82-116 as a female parent to hybridize with the male parent GT 05-3595. The SSR primer MSSCIR1 combined with capillary electrophoresis technology was used to identify true and false hybrids of 48 hybrid progenies and to analyze genetic diversity. A total of 28 SSR fragments were amplified, the polymorphic bands ratio was 67.9%, and the F 1 generations were all real hybrids. The parental and offspring inheritance similarity coefficients range from 0.00 to 0.97, with an average of 0.58. The overall genetic similarity of filial generation is high, but the genetic differences are large. UPGMA cluster analysis showed that 37 offspring were clustered with their father, with a closer genetic distance and higher genetic similarity. The results can be used in the later stage to guide the process of cross breeding, improve breeding efficiency, and effectively introduce germplasm resources that are densely S. spontaneum L .

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)0.001
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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.014
GPT teacher head0.200
Teacher spread0.186 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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