Journal of Applied Bioinformatics & Computational BiologyISSN: 2329-9533

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Jixiang Wu Author

Subjects of specialization
Genetics, Cancer Biology, Transcriptomics, Stem Cell Biology

Affiliation
Department of Mathematics and Statistics, South Dakota State University, Brookings, SD 57007, USA

Biography

Dr. Wu is from Department of Mathematics and Statistics, South Dakota State University, Brookings, USA. His research covers conventional quantitative genetics, genetic association mapping, plant breeding, agronomy, experimental designs, and various statistical methods and he is skilled in computer programming and tool development. He has published 86 peer-reviewed journal papers, 18 peer-reviewed proceeding papers/bulletins, and two book chapters, and developed and released four R packages.


Publications

Research Article Open Access

Marker Association Analysis with Three Agronomic Traits in Hard Winter Wheat Lines under Diverse Environments

Author(s):

Yi Xu, Guihua Bai, Robert A Graybosch, Yajun Wu and Jixiang Wu

Genetic performance for a quantitative trait is often controlled by gene-by-gene and genotype-by-environment (GE) interaction effects. As an important component, a GE interaction effect is highly related to crop stability. As genetic association mapping has been widely used to determine markers associated with traits of interest, stability analysis based on genetic markers/genes of importance could help develop widely adapted or specifically adapted cultivars. With linear mixed model approach, in this study we analyzed a wheat data set from the USDA Hard Winter Wheat Regional Nursery Program in 2010. The data included 32 genetic markers and 48 genotypes with three important agronomic traits: grain yield, plant height, and heading date, which were measured under multi-environments. Our r... view moreĀ»

DOI: 10.4172/2329-9533.1000136

Abstract HTML PDF



Social Media


Google Scholars / Researchers Sites

GET THE APP