Selection of soybean elite cultivars based on phenotypic and genomic characters related to lodging tolerance |
| |
| Authors: | Zhangxiong Liu Huihui Li Xuhong Fan Wen Huang Jiyu Yang Yuhong Zheng Zixiang Wen Yinghui Li Dechun Wang Shuming Wang Lijuan Qiu |
| |
| Affiliation: | 1. National Key Facility for Gene Resources and Genetic Improvement/Key Laboratory of Crop Germplasm Utilization, Ministry of Agriculture/Institute of Crop Sciences, Chinese Academy of Agricultural Science, Beijing, China;2. Institute of Soybean Research, Jilin Academy of Agricultural Sciences, Changchun, China;3. Tonghua Academy of Agricultural Sciences, Meihekou, China;4. Jilin City Academy of Agricultural Sciences, Jilin, China;5. Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA |
| |
| Abstract: | Soybean lodging can result in serious yield reduction. Detecting the quantitative trait loci (QTL) associated with lodging tolerance for their further application in marker‐assisted selection (MAS) has the potential to enhance soybean breeding efficiency. In this study, a genome‐wide association analysis (GWAS) was performed to identify soybean accessions that could potentially be used to produce lodging‐tolerant varieties, based on the comprehensive evaluation of lodging scores (LS) obtained for the parental cultivar “Tokachi nagaha” and its 137 derived cultivars. Results showed that genotype, environment and genotype × environment interaction significantly influenced LS. Of the 31 significant SNPs identified, 22 were consistently detected in two or more environments and 27 SNPs were located in or close to agronomically important QTL mapped by linkage analysis. Best linear unbiased predictors (BLUPs) of LS tend to decrease with the elite alleles contained by accessions increasing. Some excellent accessions, with lower BLUPs and Di (stability coefficients) values and more elite alleles, were selected. This study contributed to understand the genetic mechanism of lodging, providing genetic and phenotypic information for MAS. |
| |
| Keywords: | additive main effects and multiplicative interaction model genome‐wide association analysis lodging scores lodging tolerance soybean |
|
|
