Search Results - "Nuvunga, Joel Jorge"

Bayesian factor analytic model: An approach in multiple environment trials by Nuvunga, Joel Jorge, da Silva, Carlos Pereira, de Oliveira, Luciano Antonio, de Lima, Renato Ribeiro, Balestre, Marcio

“…One of the main challenges in plant breeding programs is the efficient quantification of the genotype-by-environment interaction (GEI). The presence of…”
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Shrinkage in the Bayesian analysis of the GGE model: A case study with simulation by Oliveira, Luciano Antonio de, Silva, Carlos Pereira da, Silva, Alessandra Querino da, Mendes, Cristian Tiago Erazo, Nuvunga, Joel Jorge, Muniz, Joel Augusto, Bueno Filho, Júlio Sílvio de Sousa, Balestre, Marcio

“…The genotype main effects plus the genotype × environment interaction effects model has been widely used to analyze multi-environmental trials data, especially…”
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A Bayesian Shrinkage Approach for AMMI Models by da Silva, Carlos Pereira, de Oliveira, Luciano Antonio, Nuvunga, Joel Jorge, Pamplona, Andrezza Kéllen Alves, Balestre, Marcio

“…Linear-bilinear models, especially the additive main effects and multiplicative interaction (AMMI) model, are widely applicable to genotype-by-environment…”
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Identification and Counting of Pirapitinga Piaractus brachypomus Fingerlings Fish Using Machine Learning by Souza, Alene Santos, Costa, Adriano Carvalho, França, Heyde Francielle do Carmo, Nuvunga, Joel Jorge, Ferreira de Melo, Gidélia Araújo, Lima, Lessandro do Carmo, Kretschmer, Vitória de Vasconcelos, de Oliveira, Débora Ázara, Horn, Liege Dauny, Rezende, Isabel Rodrigues de, Fernandes, Marília Parreira, Reis Neto, Rafael Vilhena, Freitas, Rilke Tadeu Fonseca de, Oliveira, Rodrigo Fortunato de, Viadanna, Pedro Henrique, Vitorino, Brenno Muller, Minafra, Cibele Silva

“…Identifying and counting fish are crucial for managing stocking, harvesting, and marketing of farmed fish. Researchers have used convolutional networks for…”
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Heterogeneity of Variances in the Bayesian AMMI Model for Multienvironment Trial Studies by Silva, Carlos Pereira, Oliveira, Luciano Antonio, Nuvunga, Joel Jorge, Pamplona, Andrezza Kellen Alves, Balestre, Marcio

“…ABSTRACT In analyses of multienvironment trials, it is common to assume homogeneity of variances in additive main effect and multiplicative interaction (AMMI)…”
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Bayesian GGE model for heteroscedastic multienvironmental trials by Oliveira, Luciano Antonio, da Silva, Carlos Pereira, da Silva, Alessandra Querino, Mendes, Cristian Tiago Erazo, Nuvunga, Joel Jorge, Nunes, José Airton Rodrigues, Parrella, Rafael Augusto da Costa, Baleste, Marcio, Filho, Júlio Sílvio de Sousa Bueno

“…The dissection of genotype × environment interaction (GEI) is a crucial aspect of the final stages of plant breeding pipelines and recommendation of cultivars…”
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Mixture Mixed Models: Biennial Growth as a Latent Variable in Coffee Bean Progenies by Vieira Júnior, Indalécio Cunha, Pereira da Silva, Carlos, Nuvunga, Joel Jorge, Botelho, César Elias, Avelar Gonçalves, Flávia Maria, Balestre, Márcio

“…ABSTRACT Statistical analysis of Coffea arabica L. progeny production has been a great challenge. In this species, genotypes may present differential biennial…”
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AMMI Bayesian Models to Study Stability and Adaptability in Maize by Bernardo Júnior, Luiz Antonio Yanes, Silva, Carlos Pereira, Oliveira, Luciano Antonio, Nuvunga, Joel Jorge, Pires, Luiz Paulo Miranda, Von Pinho, Renzo Garcia, Balestre, Marcio

“…Core Ideas The Bayesian Additive Main Effects and Multiplicative Interaction can deal with unbalanced data. The Additive Main Effects and Multiplicative…”
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Credible Intervals for Scores in the AMMI with Random Effects for Genotype by Antonio de Oliveira, Luciano, Pereira da Silva, Carlos, Nuvunga, Joel Jorge, Da Silva, Alessandra Querino, Balestre, Marcio

“…ABSTRACT The additive main effects and multiplicative interaction (AMMI) model is frequently applied in plant breeding for studying the genotype × environment…”
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Genetic progress, adaptability and stability of maize cultivars for value of cultivation and use trials by Uate, Joaquim Vicente, Nunvuga, Joel Jorge, Silva, Carlos Pereira da, Guimarães, Lauro Jose Moreira, Pinho, Renzo Garcia Von, Balestre, Marcio

“…Maize breeding programs conduct multi-environment trials every year to assess the performance of new cultivars in pre-releasing tests. The data are combined…”
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