Z
Zulma G. Vitezica
Researcher at University of Toulouse
Publications - 79
Citations - 2375
Zulma G. Vitezica is an academic researcher from University of Toulouse. The author has contributed to research in topics: Population & Selection (genetic algorithm). The author has an hindex of 22, co-authored 68 publications receiving 1850 citations. Previous affiliations of Zulma G. Vitezica include Institut national de la recherche agronomique & École nationale vétérinaire de Toulouse.
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Journal ArticleDOI
Bias in genomic predictions for populations under selection.
TL;DR: The effect of selection on bias and accuracy of genomic predictions was studied in two simulated animal populations under weak or strong selection and with several heritabilities.
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On the Additive and Dominant Variance and Covariance of Individuals Within the Genomic Selection Scope
TL;DR: A matrix of dominant genomic relationships across individuals, D, is described, similar to the G matrix used in genomic best linear unbiased prediction, which can be used in a mixed-model context for genomic evaluations or to estimate dominant and additive variances in the population.
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Genome-wide association mapping including phenotypes from relatives without genotypes in a single-step (ssGWAS) for 6-week body weight in broiler chickens.
Huiyu Wang,Ignacy Misztal,Ignacio Aguilar,Andres Legarra,Rohan L. Fernando,Zulma G. Vitezica,Ronald Okimoto,Terry Wing,Rachel Hawken,William M. Muir +9 more
TL;DR: Results obtained from various methodologies for genome-wide association studies, when applied to real data, are compared in terms of number and commonality of regions identified and their genetic variance explained, computational speed, and possible pitfalls in interpretations.
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Non-additive Effects in Genomic Selection
TL;DR: This study presents a review of methods for the incorporation of non-additive genetic effects into genomic selection procedures and their potential applications in the prediction of future performance, mate allocation, crossbreeding, and purebred selection.
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Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships
TL;DR: A conceptual framework is suggested that considers each ancestral population as a finite-sized pool of gametes and generates across-individual relationships and contrasts with the classical view which each population is considered as an infinite, unrelated pool.