| Autor: |
Jing Wen, Guo Rongqi, Sun Bincheng, Huihui Li, Zhang Qi, Yu Tian, Huilong Hong, Shanshan Su, Wanhai Zhang, Yansong Ma, Yu Ping, Chai Shen, Jiqiang Liu, Yanfei Li, Hu Xingguo, Jun Wang, Lei Feng, Jiangyuan Xu, Jingshun Wang, Yong Zhang, Sun Rujian, Huawei Gao, Yongzhe Gu, Yinghui Li, Bingfu Guo, Erhu Su, Qiang Li, Lijuan Qiu, Lili Yu |
| Rok vydání: |
2021 |
| Předmět: |
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| Popis: |
Microarray technology facilitates rapid, accurate, and economical genotyping. Here, using resequencing data from 2,214 representative soybean accessions, we developed the ZDX1 high-throughput functional soybean array, containing 158,959 SNPs, covering 90.92% of soybean genes and sites related to agronomically important traits. We genotyped 817 soybean accessions using ZDX1, including parental lines, non-parental lines, and progeny from a practical breeding pipeline. It was clarified that non-parental lines had highest genetic diversity, and 235 SNPs were identified to be fixed in the progeny. The unknown soybean cyst nematode-resistant and early maturity accessions were identified by using allele combinations. Notably, we found that breeding index was a good indicator for progeny selection, in which the superior progeny were derived from the crossing more distantly related parents with at least one parent having a higher breeding index. Based on this rule, two varieties were directionally developed. Meanwhile, redundant parents were screened out and potential combinations were formulated. GBLUP analysis displayed that the markers in genic regions had priority to be higher accuracy on predicting four agronomic traits compared with either whole genome or intergenic markers. Then we used progeny to expand the training population to increase the prediction accuracy of breeding selection by 32.1%. Collectively, our work provided a versatile array for high accuracy selecting and predicting both parents and progeny that can greatly accelerate soybean breeding. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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