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Record W2361095893

Karyotypic Analysis of Four Kinds of Alfalfas

2006· article· en· W2361095893 on OpenAlexaboutno aff
Weimin Zhang

Bibliographic record

VenueShanxi nongye daxue xuebao. Ziran kexue ban · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Mapping and Diversity in Plants and Animals
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyChinaKaryotypeMedicago sativaChromosomeChromosome numberZoologyGeographyBotanyGeneticsArchaeologyGene
DOInot available

Abstract

fetched live from OpenAlex

Studies the genetic characteristics of four kinds of Medicago sativa which were introuduced from foreign country or other aera in China were conducted to search for suitable varieties to be planted,in North China.The Karyotypes were analyzed in the experiment.In this experiment 4 kinds of Alfalfa Algonquin(Canada),WL-323ML(America),WL-232HQ(America),ZhongMu1(cultivated from Chinese and foreign breeds Husbandry and veteinary Institute of Agriculture Academy of China)were analysed by Pressing metheod.It shows that these 4 breeds have the same chromosome number(2n=32)which belong to macrochromosome and differences on components of karyotypic.The test alos shows that most chromosomes of four different breeds are median centrmere.Most of the karyotypic are symmetric.But Algonquin,WL-232HQ,ZhongMu1 are 2A,the length of neighbours chromosomes vary a little,and have a similar evolution level.WL-323ML is 2C.The lingth variances of any two neighbour chromosome in 4breeds are not apparent.Only more variance occurs between two pairs chromosome 1 and 2,15 and 16 in WL-323ML.The last one displays superior evolution characteristis than the former three breeds.ALgounquin has has no satellite,WL-232HQ has one pair,WL-323Mland ZhongMu1 has two pairs.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

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 head0.009
GPT teacher head0.208
Teacher spread0.199 · 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 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
Published2006
Admission routes1
Has abstractyes

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Same venueShanxi nongye daxue xuebao. Ziran kexue banSame topicGenetic Mapping and Diversity in Plants and AnimalsFrench-language works237,207