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Record W1996760965 · doi:10.2135/cropsci2000.4051470x

Genetic Base of 651 Chinese Soybean Cultivars Released during 1923 to 1995

2000· article· en· W1996760965 on OpenAlexaboutno aff
Zhanglin Lin Cui, Thomas E. Carter, Joseph W. Burton

Bibliographic record

VenueCrop Science · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoybean genetics and cultivation
Canadian institutionsnot available
Fundersnot available
KeywordsCultivarBiologyPedigree chartGene poolGenetic diversityChinaGenetic analysisGenetic variationGenetic relationshipBotanyGeneticsGeneGeographyPopulationDemography

Abstract

fetched live from OpenAlex

A diverse genetic base is important to breeding progress. The genetic base of U.S. and Canadian (US‐CAN) soybean [ Glycine max (L.) Merr.] cultivars is narrow. Modern Chinese soybean cultivars have been cited as a reservoir of genetic diversity for U.S. breeding. However, the genetic base of Chinese soybean cultivars is not well characterized. The purpose of this paper was to quantify the genetic base of Chinese soybean breeding by means of coefficient of parentage (CP) analysis and to compare it with that of US‐CAN soybean. Three hundred thirty‐nine ancestors were identified in the pedigrees of 651 Chinese soybean cultivars released during 1923–1995. Ancestors originating from China contributed 88% of the genes to the Chinese genetic base, and 45 exotic ancestors contributed 12%, as determined by CP analysis. Comparison of Chinese and US‐CAN bases showed that (i) the genetic base of Chinese soybean breeding was much larger than that of the US‐CAN and (ii) the Chinese base has continued to expand with time while the US‐CAN base has changed little. Analysis showed that 35 and 339 ancestors contributed 50 and 90% of the genes to Chinese soybean cultivars, while only five and 26 ancestors contributed similar amounts to the US‐CAN base. The three major soybean growing regions in China, Northeastern (NEC), Northern (NC) and Southern (SC) had little soybean ancestry in common with each other and constituted almost independent genetic bases. Each of the major Chinese growing regions had more ancestors and a more uniform distribution of ancestral contributions than did the total US‐CAN breeding effort. Although the genetic base of both Chinese and U.S. soybeans are dominated by Chinese landraces, no landraces were identified by name as common to both. In recent decades, 24 U.S. cultivars and lines have been bred to Chinese stock. These U.S. materials now constitute 7.3% of the genetic base for Chinese cultivars and have led to important yield advances in China. In contrast, U.S. breeding has made little use of Chinese cultivars. By virtue of their broad genetic base and isolation from U.S. cultivars, modern Chinese soybean cultivars are potentially important to U.S. breeding programs.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.926
Threshold uncertainty score1.000

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)0.0010.000

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 head0.010
GPT teacher head0.221
Teacher spread0.211 · 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.

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

Citations50
Published2000
Admission routes1
Has abstractyes

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