HWHongyu Wei

Hongyu Wei

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Hongyu Wei has a total of 10 co-authors. Here are the top co-authors by number of shared publications:

  • Fei Jiang

    College of Life Sciences, Chongqing Normal University/Chongqing Engineering Research Center of Specialty Crop Resources, Chongqing 401331, China

    1 shared publication
  • Jiajia Han

    College of Life Sciences, Chongqing Normal University/Chongqing Engineering Research Center of Specialty Crop Resources, Chongqing 401331, China

    1 shared publication
  • Jie Yu

    College of Life Sciences, Chongqing Normal University/Chongqing Engineering Research Center of Specialty Crop Resources, Chongqing 401331, China

    1 shared publication
  • Kunchi Yu

    State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China

    1 shared publication
  • Lu Gan

    College of Life Sciences, Chongqing Normal University/Chongqing Engineering Research Center of Specialty Crop Resources, Chongqing 401331, China

    1 shared publication
  • Lunxiao Huang

    College of Life Sciences, Chongqing Engineering Research Center of Specialty Crop Resources Chongqing Normal University Chongqing China

    1 shared publication

Latest Publications

  • Open Access

    Phenotypic Variation and Molecular Marker Network Expression of Some Agronomic Traits in Rice (Oryza sativa L.) RILS of Gr 89-1×Shuhui 527

    by Lu Gan, Lunxiao Huang, Hongyu Wei, Fei Jiang, Jiajia Han, Jie Yu, Qian Liu, Kunchi Yu, Qiuyu Zhang, Mao Fan, et al.

    In this study, a Glutinous rice 89-1 (Gr 89-1) × Shuhui 527 recombinant inbred line population (RIL) comprising 309 F9-generations was used to screen gradient molecular markers. The phenotypic variation and distribution of eight agronomic traits obtained from multiyear and multilocation samples, as well as the network expression relationships between agronomic traits and molecular markers, were investigated. The results showed that there were 14 phenotypic lines with significant differences in the RILs, and the molecular testing results of most of the lines were consistent with the phenotype. The correlation degree between the first-level molecular markers and the eight agronomic traits was 100%. Excluding the correlations of third-level markers with grain width and grain length, the degree of correlation between molecular markers and agronomic traits decreased with an increase in marker levels. The RILs were divided into eight core populations and one approximate population, revealing genetic correspondence between agronomic traits and molecular markers.