2 Works

Data from: Characterization of the teosinte transcriptome reveals adaptive sequence divergence during maize domestication

Jun Huang, Gao Youjun, Jia Haitao, Zuxin Zhang, Youjun Gao & Haitao Jia
Annual teosinte, the ancestor of cultivated maize (Zea mays ssp. mays), is a valuable germplasm for enhancing the genetic diversity and adaptability of maize to various environment stimuli. However, comprehensive transcriptomic and genomic resources are unavailable in public databases, which significantly impede the identification and utilization of favourable genes or alleles in teosinte. In this study, we globally sequenced the transcriptomes of six teosinte accessions by Illumina paired-end sequencing. A high-quality teosinte transcriptome was de...

Data from: Predicting rice hybrid performance using univariate and multivariate GBLUP models based on North Carolina mating design II

X. Wang, L. Li, Z. Yang, X. Zheng, S. Yu, C. Xu & Z. Hu
Genomic selection (GS) is more efficient than traditional phenotype-based methods in hybrid breeding. The present study investigated the predictive ability of genomic best linear unbiased prediction models for rice hybrids based on the North Carolina mating design II, in which a total of 115 inbred rice lines were crossed with 5 male sterile lines. Using 8 traits of the 575 (115 × 5) hybrids from two environments, both univariate (UV) and multivariate (MV) prediction analyses,...

Registration Year

  • 2016

Resource Types

  • Dataset


  • Huazhong Agricultural University
  • Huanggang Normal University
  • Hunan Agricultural University
  • Wuhan University
  • Yangzhou University