J
Juan Burgueño
Researcher at International Maize and Wheat Improvement Center
Publications - 166
Citations - 8186
Juan Burgueño is an academic researcher from International Maize and Wheat Improvement Center. The author has contributed to research in topics: Population & Biology. The author has an hindex of 37, co-authored 144 publications receiving 6043 citations. Previous affiliations of Juan Burgueño include University of the Republic & University of Western Australia.
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Journal ArticleDOI
Genomic Selection in Plant Breeding: Methods, Models, and Perspectives
José Crossa,Paulino Pérez-Rodríguez,Jaime Cuevas,Osval A. Montesinos-López,Diego Jarquin,Gustavo de los Campos,Juan Burgueño,Juan Manuel González-Camacho,Sergio Pérez-Elizalde,Yoseph Beyene,Susanne Dreisigacker,Ravi P. Singh,Xuecai Zhang,Manje Gowda,Manish Roorkiwal,Jessica Rutkoski,Rajeev K. Varshney +16 more
TL;DR: Based on GP results, it is speculated how GS in germplasm enhancement programs could accelerate the flow of genes from gene bank accessions to elite lines and recent advances in hyperspectral image technology could be combined with GS and pedigree-assisted breeding.
Journal ArticleDOI
Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers.
José Crossa,Gustavo de los Campos,Gustavo de los Campos,Paulino Pérez,Daniel Gianola,Juan Burgueño,José Luis Araus,Dan Makumbi,Ravi P. Singh,Susanne Dreisigacker,Jianbing Yan,Vivi N. Arief,Marianne Bänziger,Hans J. Braun +13 more
TL;DR: Evaluated parametric and semiparametric models for GS using wheat and maize data in which different traits were measured in several environmental conditions indicate that models including marker information had higher predictive ability than pedigree-based models.
Journal ArticleDOI
Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers
TL;DR: It is concluded that the evaluation of such trials can benefi t greatly from using multienvironment GS models, and the superiority of models using both marker and pedigree information over those based on pedigree information only.
Journal ArticleDOI
Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure
José Crossa,Juan Burgueño,Susanne Dreisigacker,Mateo Vargas,S. A. Herrera-Foessel,Morten Lillemo,Ravi P. Singh,Richard Trethowan,Marilyn L. Warburton,Jorge Franco,Matthew P. Reynolds,Jonathan H. Crouch,Rodomiro Ortiz +12 more
TL;DR: Mapped diversity array technology markers were used to find associations with resistance to stem rust, leaf rust, yellow rust, and powdery mildew, plus grain yield in five historical wheat international multienvironment trials from the International Maize and Wheat Improvement Center.
Journal ArticleDOI
A reaction norm model for genomic selection using high-dimensional genomic and environmental data
Diego Jarquin,Diego Jarquin,José Crossa,Xavier Lacaze,Philippe du Cheyron,Joëlle Daucourt,Josiane Lorgeou,Francois Piraux,Laurent Guerreiro,Paulino Pérez,Mario P. L. Calus,Juan Burgueño,Gustavo de los Campos +12 more
TL;DR: This article shows how to model interactions between high-dimensional sets of markers and ECs using covariance functions and assesses the proposed method using data from Arvalis, consisting of 139 wheat lines genotyped with 2,395 SNPs and evaluated for grain yield over 8 years and various locations within northern France.