M
Mateo Vargas
Researcher at Chapingo Autonomous University
Publications - 53
Citations - 3929
Mateo Vargas is an academic researcher from Chapingo Autonomous University. The author has contributed to research in topics: Quantitative trait locus & Population. The author has an hindex of 31, co-authored 52 publications receiving 3342 citations. Previous affiliations of Mateo Vargas include International Maize and Wheat Improvement Center.
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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
Drought stress and tropical maize: QTL-by-environment interactions and stability of QTLs across environments for yield components and secondary traits
Rainer Messmer,Yvan Fracheboud,Marianne Bänziger,Mateo Vargas,Peter Stamp,Jean-Marcel Ribaut +5 more
TL;DR: The results confirm that the best approach to breeding for drought tolerance includes selection under water stress, and several clusters of QTLs for different traits were identified by the joint analyses of the WW and WS treatments and across water regimes.
Journal ArticleDOI
Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress
Yoseph Beyene,Kassa Semagn,Stephen Mugo,Amsal Tarekegne,Raman Babu,Barbara Meisel,Pierre Sehabiague,Dan Makumbi,Cosmos Magorokosho,Sylvester O. Oikeh,John Gakunga,Mateo Vargas,Michael Olsen,Boddupalli M. Prasanna,Marianne Bänziger,José Crossa +15 more
TL;DR: It is demonstrated that genomic selection is more effective than pedigree-based conventional phenotypic selection for increasing genetic gains in grain yield under drought stress in tropical maize.
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Evaluating potential genetic gains in wheat associated with stress-adaptive trait expression in elite genetic resources under drought and heat stress
TL;DR: Several physiological traits showed closer association with each other than did performance traits, supporting the idea that such stress-adaptive traits have genetic value across stresses.
Journal ArticleDOI
A multi-trait multi-environment QTL mixed model with an application to drought and nitrogen stress trials in maize (Zea mays L.)
TL;DR: Models are presented for an efficient QTL analysis of MTME data with mixed models by reducing the dimensionality of the genetic variance–covariance matrix by structuring this matrix using direct products of relatively simple matrices representing variation in the trait and environmental dimension.