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Use of simulation to optimize a sweet corn breeding program: implementing genomic selection and doubled haploid technology.
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- G3: Genes | Genomes | Genetics, 2024, v. 14, n. 8, p. 1, doi. 10.1093/g3journal/jkae128
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- Article
Utilizing genomic prediction to boost hybrid performance in a sweet corn breeding program.
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- Frontiers in Plant Science, 2024, p. 1, doi. 10.3389/fpls.2024.1293307
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- Article
Repetitive DNA Mapping in Five Genera of Tree Frogs (Amphibia: Anura) from the Atlantic Forest: New Highlights on Genomic Organization in Hylidae.
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- Cytogenetic & Genome Research, 2024, v. 163, n. 5/6, p. 317, doi. 10.1159/000537875
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Simulation‐based decision‐making and implementation of tools in hybrid crop breeding pipelines.
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- Crop Science, 2024, v. 64, n. 1, p. 110, doi. 10.1002/csc2.21139
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- Article
Envirotype approach for soybean genotype selection through the integration of georeferenced climate and genetic data using artificial neural networks.
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- Euphytica, 2024, v. 220, n. 1, p. 1, doi. 10.1007/s10681-023-03267-1
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- Article
Analysis of advanced generation multistage field trials data in autogamous plant breeding: An evaluation in common Bean.
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- Crop Science, 2023, v. 63, n. 3, p. 1221, doi. 10.1002/csc2.20935
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- Article
Modeling covariance structures and optimizing Jatropha curcas breeding.
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- Tree Genetics & Genomes, 2023, v. 19, n. 2, p. 1, doi. 10.1007/s11295-023-01596-9
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Multi-trait multi-environment models for selecting high-performance and stable eucalyptus clones.
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- Acta Scientiarum: Agronomy, 2023, v. 45, p. 1, doi. 10.4025/actasciagron.v45i1.61626
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- Article
A novel approach to determine tropical persistence on alfalfa germplasm.
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- Agronomy Journal, 2022, v. 114, n. 6, p. 3225, doi. 10.1002/agj2.21147
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- Article
Selection index based on random regression model in 'Tahiti' acid lime.
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- Euphytica, 2022, v. 218, n. 11, p. 1, doi. 10.1007/s10681-022-03105-w
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- Article
Multiple-trait model through Bayesian inference applied to flood-irrigated rice (Oryza sativa L).
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- Euphytica, 2022, v. 218, n. 9, p. 1, doi. 10.1007/s10681-022-03077-x
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- Article
Interrelations between productive, vegetative, and fruit quality traits in Tahiti acid lime through Bayesian inference.
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- Ciência Rural, 2022, v. 52, n. 5, p. 1, doi. 10.1590/0103-8478cr20210007
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- Article
Genotype plus genotype by-environment interaction biplot and genetic diversity analyses on multi-environment trials data of yield and technological traits of cotton cultivars.
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- Ciência Rural, 2022, v. 52, n. 2, p. 1, doi. 10.1590/0103-8478cr20201054
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- Article
Genetic variability analyses considering multi-environment trials in maize breeding.
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- Euphytica, 2022, v. 218, n. 2, p. 1, doi. 10.1007/s10681-021-02957-y
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- Article
Genotype selection based on multiple traits in cotton crops: The application of genotype by yield*trait biplot.
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- Acta Scientiarum: Agronomy, 2022, v. 44, p. 1, doi. 10.4025/actasciagron.v44i1.54136
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Accounting for spatial trends in multi-environment diallel analysis in maize breeding.
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- PLoS ONE, 2021, v. 16, n. 10, p. 1, doi. 10.1371/journal.pone.0258473
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Further insights into chromosomal evolution of the genus Enyalius with karyotype description of Enyalius boulengeri Etheridge, 1969 (Squamata, Leiosauridae).
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- Caryologia, 2021, v. 74, n. 3, p. 169, doi. 10.36253/caryologia-1120
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- Article
Models for optimizing selection based on adaptability and stability of cotton genotypes.
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- Ciência Rural, 2021, v. 51, n. 5, p. 1, doi. 10.1590/0103-8478cr20200530
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- Article
Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotypedesign.
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- Crop Breeding & Applied Biotechnology, 2021, v. 21, n. 2, p. 1, doi. 10.1590/1984-70332021v21n2a31
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- Article
Multiple-trait model through Bayesian inference applied to Jatropha curcas breeding for bioenergy.
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- PLoS ONE, 2021, v. 16, n. 3, p. 1, doi. 10.1371/journal.pone.0247775
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Soybean productivity, stability, and adaptability through mixed model methodology.
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- Ciência Rural, 2021, v. 51, n. 2, p. 1, doi. 10.1590/0103-8478cr20200406
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Repeatability coefficient estimates and optimum number of harvests in graft/rootstock combinations for 'tahiti' acid lime.
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- Acta Scientiarum: Agronomy, 2021, v. 43, p. 1, doi. 10.4025/actasciagron.v43i1.51740
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- Article
Random regression for modeling yield genetic trajectories in Jatropha curcas breeding.
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- PLoS ONE, 2020, v. 15, n. 12, p. 1, doi. 10.1371/journal.pone.0244021
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Multiple-trait, random regression, and compound symmetry models for analyzing multi-environment trials in maize breeding.
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- PLoS ONE, 2020, v. 15, n. 11, p. 1, doi. 10.1371/journal.pone.0242705
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- Article
Reaction norms‐based approach applied to optimizing recommendations of cotton genotypes.
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- Agronomy Journal, 2020, v. 112, n. 6, p. 4613, doi. 10.1002/agj2.20433
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- Article
Multi-trait multi-environment diallel analyses for maize breeding.
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- Euphytica, 2020, v. 216, n. 9, p. N.PAG, doi. 10.1007/s10681-020-02677-9
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- Article
Anuran Distribution in a Highly Diverse Region of the Atlantic Forest: the Mantiqueira Mountain Range in Southeastern Brazil.
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- Herpetologica, 2018, v. 74, n. 4, p. 294, doi. 10.1655/0018-0831.294
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Karyological study of Ololygon tripui (Lourenço, Nascimento and Pires, 2009), (Anura, Hylidae) with comments on chromosomal traits among populations.
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- Comparative Cytogenetics, 2016, v. 10, n. 4, p. 505, doi. 10.3897/CompCytogen.v10i4.9176
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The occurrence of Fritziana Mello-Leitão, 1937 (Anura, Hemiphractidae) in Minas Gerais state, southeastern Brazil: new records and distribution of the genus.
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- Check List, 2016, v. 12, n. 4, p. 1, doi. 10.15560/11106
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Vocal repertoire of Scinax v-signatus (Lutz 1968) (Anura, Hylidae) and comments on bioacoustical synapomorphies for Scinax perpusillus species group.
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- Acta Herpetologica, 2016, v. 11, n. 1, p. 53, doi. 10.13128/Acta_Herpetol-16490
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New state record and geographic distribution map of Rhinella inopina Vaz-Silva, Valdujo & Pombal, 2012 (Anura: Bufonidae).
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- Check List, 2014, v. 10, n. 2, p. 395, doi. 10.15560/10.2.395
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Amphibia, Anura, Microhylidae, Myersiella microps (Duméril and Bibron, 1841): New records and geographic distribution map.
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- Check List, 2013, v. 9, n. 4, p. 847, doi. 10.15560/9.4.847
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