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Luís Felipe V. Ferrão

Researcher at University of Florida

Publications -  43
Citations -  849

Luís Felipe V. Ferrão is an academic researcher from University of Florida. The author has contributed to research in topics: Population & Selection (genetic algorithm). The author has an hindex of 14, co-authored 36 publications receiving 504 citations. Previous affiliations of Luís Felipe V. Ferrão include Universidade Federal de Viçosa & University of São Paulo.

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Genotyping Polyploids from Messy Sequencing Data.

TL;DR: This work draws attention to, and then model, common aspects of NGS data: sequencing error, allelic bias, overdispersion, and outlying observations, and develops novel models to account for preferential pairing of chromosomes, and harness these for genotyping.
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Exploring deep learning for complex trait genomic prediction in polyploid outcrossing species

TL;DR: It is shown that interactions between hyperparameter combinations should be expected and that the number of convolutional filters and regularization in the first layers can have an important effect on model performance, as well as using a parameterization capable of taking into account these non-linear effects.
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Genome-wide association of volatiles reveals candidate loci for blueberry flavor

TL;DR: To develop molecular breeding tools aimed at improving fruit flavor, a target genotyping and VOC extraction of a blueberry population was carried out and it was demonstrated that VOCs can be accurately predicted using genomic information and enhance or decrease consumer's overall liking.
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Insights Into the Genetic Basis of Blueberry Fruit-Related Traits Using Diploid and Polyploid Models in a GWAS Context

TL;DR: The results showed that the importance of tetraploids models varied by trait and that the use of diploid models has hindered the detection of SNP-trait associations and, consequently, the genetic architecture of some commercially important traits in autotetraploid species.
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Genomic Prediction of Autotetraploids; Influence of Relationship Matrices, Allele Dosage, and Continuous Genotyping Calls in Phenotype Prediction.

TL;DR: Comparing the use of read depth as continuous parameterization with ploidy parameterizations in the context of genomic selection (GS) and the genotypic and phenotypic data used in this study are made available for comparative analysis of dosage calling and genomic selection prediction models in the contexts of autopolyploids.