Rong-Cai Yang, PhD

AF Professor of Statistical Genomics, Faculty of Agricultural, Life and Environmental Sci - Ag, Food & Nutri Sci Dept

Contact

AF Professor of Statistical Genomics, Faculty of Agricultural, Life and Environmental Sci - Ag, Food & Nutri Sci Dept
Email
rong-cai.yang@ualberta.ca
Phone
(780) 492-3728
Address
2-39 General Services Building
9007 - 116 St NW
Edmonton AB
T6G 2H1

Overview

About

Degree

PhD, University of Saskatchewan

Job/Research Area 

Statistical Genomics and Quantitative Genetics 


Research

Major Responsibilities/Research Interests 

Work focus is on the development of new theories and statistical methods and their computational deployment for studying genomic and breeding data from crop plants and farmed animals. My current research interests and activities include: (i) bioinformatics and computational genomics of disease resistance genes across cereal genomes; (ii) the development of new statistical methods for studying genotype-environment interactions and evaluation of crop variety trials; (iii) statistical issues related to genomic prediction based on high density DNA markers; and (iv) genetic and genomic analyses of early generation selection in self-pollinated species.

Courses

AFNS 585 - Advanced Quantitative Genomics

Genetics and analysis of quantitative traits in farm animals and plants. Detecting, locating and measuring effects of quantitative trait loci (QTL). Recent developments in QTL mapping and discovery. The laboratory sessions include commonly used software for analyzing data from breeding and genomics experiments. Normally offered in alternate years. Prerequisite: consent of instructor.

Winter Term 2021

Browse more courses taught by Rong-Cai Yang

Publications

Testing for nonlinear genotype × environment interactions
Author(s): Yang R-C
Publication Date: 7/16/2020
Publication: Crop Science
Volume: 60
Issue: 6
Page Numbers: 3127–3140
External Link: https://DOI.org/10.1002/csc2.20268
Towards understanding and use of mixed-model analysis of agricultural experiments
Author(s): Yang, R.-C.
Publication Date: 10/1/2010
Publication: Canadian Journal of Plant Sccience
Volume: 90
Issue: 5
Page Numbers: 605-627
External Link: https://doi.org/10.4141/CJPS10049
Analysis of linear and non-linear genotype × environment interaction
Author(s): Yang R-C
Publication: Frontiers in Genetics
Volume: 5
Page Numbers: 227
External Link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4106210/
Bioinformatic prediction of transcription factor binding sites at promoter regions of genes for photoperiod and vernalization responses in model and temperate cereal plants
Author(s): Peng FY, Hu Z, Yang R-C
Publication: BMC Genomics
Volume: 17
Page Numbers: 573
External Link: https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-2916-7
Direct Approach to Modeling Epistasis
Author(s): Yang R-C
Publication: Epistasis: Methods and Protocols, Methods in Molecular Biology
Volume: 1253
Page Numbers: 159-183
External Link: https://link.springer.com/protocol/10.1007%2F978-1-4939-2155-3_9
Genome-wide estimation of heritability and its functional components for flowering, defense, ionomics, and developmental traits in a geographically diverse population of Arabidopsis thaliana
Author(s): Yang, R-C
Publication: Genome
Volume: 60
Page Numbers: 572-580
External Link: http://www.nrcresearchpress.com/doi/abs/10.1139/gen-2016-0213#.WagkXz6GPmE
Inferring defense-related gene families in Arabidopsis and wheat
Author(s): Yang R-C, Peng FY, Hu Z
Publication: BMC Genomics
Volume: 18
Page Numbers: 980
External Link: https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-017-4381-3
Marker-Based Estimation of Genetic Parameters in Genomics
Author(s): Hu Z, Yang R-C
Publication: PLoS ONE
Volume: 9
Issue: 7
Page Numbers: e102715
External Link: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0102715
Prediction and analysis of three gene families related to leaf rust (Puccinia triticina) resistance in wheat (Triticum aestivum L.)
Author(s): Peng FY, Yang R-C.
Publication: BMC Plant Biology
Volume: 17
Page Numbers: 108
External Link: https://bmcplantbiol.biomedcentral.com/articles/10.1186/s12870-017-1056-9