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Ivone de Bem Oliveira
Researcher at University of Florida
Publications - 16
Citations - 251
Ivone de Bem Oliveira 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 6, co-authored 14 publications receiving 148 citations. Previous affiliations of Ivone de Bem Oliveira include Universidade Federal de Goiás.
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Journal ArticleDOI
Insights Into the Genetic Basis of Blueberry Fruit-Related Traits Using Diploid and Polyploid Models in a GWAS Context
Luís Felipe V. Ferrão,Juliana Benevenuto,Ivone de Bem Oliveira,Ivone de Bem Oliveira,Catherine Cellon,James W. Olmstead,Matias Kirst,Marcio F. R. Resende,Patricio R. Munoz +8 more
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.
Journal ArticleDOI
Genomic Prediction of Autotetraploids; Influence of Relationship Matrices, Allele Dosage, and Continuous Genotyping Calls in Phenotype Prediction.
Ivone de Bem Oliveira,Marcio F. R. Resende,Luís Felipe V. Ferrão,Rodrigo R. Amadeu,Jeffrey B. Endelman,Matias Kirst,Alexandre Siqueira Guedes Coelho,Patricio R. Munoz +7 more
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.
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Genomic selection in soybean: accuracy and time gain in relation to phenotypic selection
Gilvani Matei,Leomar Guilherme Woyann,Anderson Simionato Milioli,Ivone de Bem Oliveira,Andrei Daniel Zdziarski,Rodrigo Zanella,Alexandre Siqueira Guedes Coelho,Taciane Finatto,Giovani Benin +8 more
TL;DR: It is found that GS can reduce the time required to complete a selection cycle in soybean, which can lead to increased production of this commercially important crop.
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Breeding Alfalfa (Medicago sativa L.) Adapted to Subtropical Agroecosystems
Janam P. Acharya,Yolanda Lopez,Beatriz Tomé Gouveia,Ivone de Bem Oliveira,Marcio F. R. Resende,Patricio R. Munoz,Esteban F. Rios +6 more
TL;DR: The diversity present in subtropical alfalfa germplasm is examined and genetic parameters for forage production are reported, finding several families produced higher DMY than all checks, and they can be utilized to develop high yielding and adapted al falfa cultivars for subtropICAL agroecosystems.
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Optimizing whole-genomic prediction for autotetraploid blueberry breeding
TL;DR: It is suggested that marker density, sequencing depth, and training population size can be substantially reduced with no significant impact on model accuracy, allowing for a faster and more accurate release of varieties with a substantial reduction of resources for the application of genomic prediction in blueberry.