Diego Jarquin

Diego Jarquin

Diego Jarquin

Research Assistant Professor

B.S., Statistics, Universidad Autónoma de Chapingo, 2004

M.S., Statistics, Colegio de Postgraduados, 2006

Ph.D., Statistics, Colegio de Postgraduados, 2012

Area of Focus

Genomic Selection and Genotype-by-Environment Interaction (G×E)

Research Interests

Development of statistical learning methods to analyze and predict complex traits by considering not only genetics but also incorporating environmental factors in interaction with high dimensional genomic data.

Major Project Activities

  • Optimizing Genomic Selection for Soybean breeding programs
  • Study of Soybean Nested Association Mapping populations (SoyNAM)
  • Development of Genomic Prediction models accounting for G×E
  • Collaborator of the Genomes to Fields (G2F) Consortium

Publications

  • Nonoy B. Bandillo, Aaron J. Lorenz, George L. Graef, Diego Jarquin, David L. Hyten, Randall L Nelson, and James E. Specht. Genome-wide association mapping of qualitatively inherited traits in a germplasm collection. Accepted (Plant Genome).
  • Sivakumar Sukumaran, Jose Crossa, Diego Jarquin, Marta Lopes, Matthew P Reynolds (2016). Genomic prediction with pedigree and genotype× environment interaction in spring wheat grown in South and West Asia, North Africa, and Mexico. G3: Genes| Genomes| Genetics (2016): g3. 116.036251.
  • Diego Jarquin, James Specht and Aaron Lorenz (2016). "Prospects of genomic prediction in the USDA Soybean Germplasm Collection: Historical Data Creates Robust Models for Enhancing Selection of Accessions." G3: Genes| Genomes| Genetics (2016): g3-116.
  • José Crossa, Diego Jarquin, Jorge Franco, Paulino Pérez-Rodríguez, Juan Burgueño, Carolina Saint-Pierre, Phrashant Vikram, Carolina Sansaloni, Cesar Petroli, Deniz Akdemir, Clay Sneller, Matthew Reynolds, Maria Tattaris, Thomas Payne, Carlos Guzman, Roberto J Peña, Peter Wenzl, Sukhwinder Singh (2016). Genomic Prediction of Gene Bank Wheat Landraces, g3. 116.029637.
  • C. Saint Pierre1, D. Jarquin, J. Burgueño, J. Crossa, G. Fuentes Dávila, P. Figueroa López, E. Solís Moya, J. Ireta Moreno, V. M. Hernández Muela, V. Zamora Villa, P. Vikram1, K. Mathews, C. Sansaloni1, D. Sehgal, and S. Singh (2016). Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zones. Scientific Reports 6:27312 doi: 10.1038/srep27312.
  • Jarquin. D., Perez-Elizalde. S., Crossa. J., A hierarchical Bayesian estimation model for plant breeding, Special Issue in Genotype x Environment (2016). CropScience doi:10.2135/cropsci2015.08.0475.
  • J. Jesus Cerón-Rojas, José Crossa, Vivi N. Arief, Kaye Basford, Jessica Rutkoski, Diego Jarquin, Gregorio Alvarado, Yoseph Beyene, Kassa Semagn, and Ian DeLacy (2015). A Genomic Selection Index, G3 doi: 10.1534/g3.115.019869.
  • Bandillo N, Jarquin D, Song QJ, Cregan PB, Nelson R, Specht J, Lorenz A (2015). An Association and Population Structure Analysis on the USA Soybean Germplasm Collection, Plant Genome doi:10.3835/plantgenome2015.04.0024.
  • Diego Jarquin, Kyle Kocak, Luis Posadas, Katie Hyma, Joseph Jedlicka, George Graef and Aaron Lorenz (2014). Genotyping by sequencing for genomic prediction in a soybean breeding population, BMC Genomics 2014, 15:740.
  • Diego Jarquín, José Crossa, Xavier Lacaze, Paulino Pérez, Philippe Du Cheyron, Joëlle Daucourt, Josiane Lorgeou, François Piraux, Laurent Guerreiro, Juan Burgueño and Gustavo de los Campos (2013). A reaction norm model for genomic selection using high-dimensional genomic and environmental data, Theoretical and Applied Genetics (2013):1-13.
  • Oziel Lugo, Tito Marcos Sanchez, Gamaliel Camarena, Mateo Vargas, Gregorio Alvarado, Diego Jarquin, Juan Burgueño, Jose Crossa, and Héctor Sanchez-Villeda (2013). Integrated Breeding Field Book for Plant Breeding, Rev. Fitotec. Mex. Vol. 36 (3): 201-208.
  • Perez-Elizalde, S., Jarquin, D., J. Crossa, J (2011). A general Bayesian estimation method of linear-bilinear models applied to plant breeding trials with genotype × environment interaction. Journal of Agricultural, Biology and Environmental Statistics (JABES) doi: 10.1007/s13253-011-0063-9.
  • Crossa, J., S. Perez-Elizalde, D. Jarquin, J. M. Cotes, K. Viele, G. Liu, and P.L. Cornelius (2011). Bayesian estimation of the Additive Main effects and Multiplicative Interaction (AMMI) model. Crop Science 51:1458-1469.