Genetic Base of 651 Chinese Soybean Cultivars Released during 1923 to 1995
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".