Search Results - "Cosme Damião Cruz"

Genes Software – extended and integrated with the R, Matlab and Selegen by Cruz, Cosme Damião

“…The Genes Software is useful for analyzing and processing phenotypic and molecular data using different biometric models. In the current version we dispose…”
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GENES: a software package for analysis in experimental statistics and quantitative genetics by Cruz, Cosme Damião

“…GENES is a software package used for data analysis and processing with different biometric models and is essential in genetic studies applied to plant and…”
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Marker effects and heritability estimates using additive-dominance genomic architectures via artificial neural networks in Coffea canephora by Coelho de Sousa, Ithalo, Nascimento, Moysés, de Castro Sant'anna, Isabela, Teixeira Caixeta, Eveline, Ferreira Azevedo, Camila, Damião Cruz, Cosme, Lopes da Silva, Felipe, Ruas Alkimim, Emilly, Campana Nascimento, Ana Carolina, Vergara Lopes Serão, Nick

“…Many methodologies are used to predict the genetic merit in animals and plants, but some of them require priori assumptions that may increase the complexity of…”
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Multi-trait and multi-environment Bayesian analysis to predict the G x E interaction in flood-irrigated rice by da Silva Júnior, Antônio Carlos, Sant'Anna, Isabela de Castro, Silva Siqueira, Michele Jorge, Cruz, Cosme Damião, Azevedo, Camila Ferreira, Nascimento, Moyses, Soares, Plínio César

“…The biggest challenge for the reproduction of flood-irrigated rice is to identify superior genotypes that present development of high-yielding varieties with…”
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Machine learning and statistics to qualify environments through multi-traits in Coffea arabica by Costa, Weverton Gomes da, Barbosa, Ivan de Paiva, de Souza, Jacqueline Enequio, Cruz, Cosme Damião, Nascimento, Moysés, de Oliveira, Antonio Carlos Baião

“…Several factors such as genotype, environment, and post-harvest processing can affect the responses of important traits in the coffee production chain…”
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Prediction of the importance of auxiliary traits using computational intelligence and machine learning: A simulation study by da Silva Júnior, Antônio Carlos, Silva, Michele Jorge da, Cruz, Cosme Damião, Sant'Anna, Isabela de Castro, Silva, Gabi Nunes, Nascimento, Moysés, Azevedo, Camila Ferreira

“…The present study evaluated the importance of auxiliary traits of a principal trait based on phenotypic information and previously known genetic structure…”
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Recommendation of Coffea arabica genotypes by factor analysis by Barbosa, Ivan de Paiva, da Costa, Weverton Gomes, Nascimento, Moysés, Cruz, Cosme Damião, de Oliveira, Antônio Carlos Baião

“…Responsible for approximately 70% of the world’s coffee exports, Brazil is increasingly concerned about the quality of the coffees produced, given the growing…”
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Revisiting the DNA C-values of the genome size-standards used in plant flow cytometry to choose the “best primary standards” by Praça-Fontes, Milene Miranda, Carvalho, Carlos Roberto, Clarindo, Wellington Ronildo, Cruz, Cosme Damião

“…Flow cytometry (FCM) techniques have enabled characterization of the genome size for various plant species. In order to measure the nuclear genome size of a…”
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Quantile regression for genome-wide association study of flowering time-related traits in common bean by Nascimento, Moysés, Nascimento, Ana Carolina Campana, Silva, Fabyano Fonseca E, Barili, Leiri Daiane, Vale, Naine Martins do, Carneiro, José Eustáquio, Cruz, Cosme Damião, Carneiro, Pedro Crescêncio Souza, Serão, Nick Vergara Lopes

“…Flowering is an important agronomic trait. Quantile regression (QR) can be used to fit models for all portions of a probability distribution. In Genome-wide…”
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Predictions in biometric models by Guimaraes, Patrick Wöhrle, Oliveira, Alcione de Paiva, Cruz, Cosme Damião

“…One of the domains of genetic enhancement that has extensively employed both simulation and authentic data is Biometrics. Selecting efficient models for the…”
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Genomic prediction of leaf rust resistance to Arabica coffee using machine learning algorithms by Sousa, Ithalo Coelho de, Nascimento, Moysés, Silva, Gabi Nunes, Nascimento, Ana Carolina Campana, Cruz, Cosme Damião, Silva, Fabyano Fonseca e, Almeida, Dênia Pires de, Pestana, Kátia Nogueira, Azevedo, Camila Ferreira, Zambolim, Laércio, Caixeta, Eveline Teixeira

“…ABSTRACT Genomic selection (GS) emphasizes the simultaneous prediction of the genetic effects of thousands of scattered markers over the genome. Several…”
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Brief history of Eucalyptus breeding in Brazil under perspective of biometric advances by Castro, Carla Aparecida de Oliveira, Resende, Rafael Tassinari, Bhering, Leonardo Lopes, Cruz, Cosme Damião

“…Forest breeding is a science that has been developing in Brazil since 1941 being the Eucalyptus a highlighted genus in this scenario. In a global scene, Brazil…”
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Half a century of studying adaptability and stability in maize and soybean in Brazil by Rezende, Wender Santos, Cruz, Cosme Damião, Borém, Aluízio, Rosado, Renato Domiciano Silva

“…The study of adaptability and stability underlies the cultivar recommendation process for all crops. There is a considerable number of statistical methods…”
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Choosing parent tropical wheat genotypes through genetic dissimilarity based on REML/BLUP by Casagrande, Cleiton Renato, Mezzomo, Henrique Caletti, Cruz, Cosme Damião, Borém, Aluízio, Nardino, Maicon

“…Parent selection is a crucial step in breeding programs. In the present study, we evaluated the genetic diversity in tropical wheat genotypes using best linear…”
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Application of fuzzy logic for adaptability and stability studies in flood‐irrigated rice (Oryza sativa) by Silva Júnior, Antônio Carlos, Silva, Michele Jorge, Costa, Weverton Gomes, Sousa, Ithalo Coelho, Cruz, Cosme Damião, Nascimento, Moysés, Soares, Plínio César

“…The aim of this study was to use fuzzy logic as an auxiliary tool in the assessment of adaptability and stability, using grain‐yield data from flood‐irrigated…”
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Subset selection of markers for the genome-enabled prediction of genetic values using radial basis function neural networks by Sant'Anna, Isabela de Castro, Silva, Gabi Nunes, Nascimento, Moyses, Cruz, Cosme Damiao

“…This paper aimed to evaluate the effectiveness of subset selection of markers for genome-enabled prediction of genetic values using radial basis function…”
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Multigenerational prediction of genetic values using genome-enabled prediction by Sant' Anna, Isabela de Castro, Cabral Ferreira, Ricardo Augusto Diniz, Nascimento, Moysés, Silva, Gabi Nunes, Carneiro, Vinicius Quintão, Cruz, Cosme Damião, Oliveira, Marciane Silva, Chagas, Francyse Edith

“…The identification of elite individuals is a critical component of most breeding programs. However, the achievement of this goal is limited by the high cost of…”
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Multivariate Adaptive Regression Splines Enhance Genomic Prediction of Non-Additive Traits by de Oliveira Celeri, Maurício, da Costa, Weverton Gomes, Nascimento, Ana Carolina Campana, Azevedo, Camila Ferreira, Cruz, Cosme Damião, Sagae, Vitor Seiti, Nascimento, Moysés

“…The present work used Multivariate Adaptive Regression Splines (MARS) for genomic prediction and to study the non-additive fraction present in a trait. To this…”
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Marker-Assisted Recurrent Selection for Pyramiding Leaf Rust and Coffee Berry Disease Resistance Alleles in Coffea arabica L by Saavedra, Laura Maritza, Caixeta, Eveline Teixeira, Barka, Geleta Dugassa, Borém, Aluízio, Zambolim, Laércio, Nascimento, Moysés, Cruz, Cosme Damião, Oliveira, Antonio Carlos Baião de, Pereira, Antonio Alves

“…In this study, marker-assisted recurrent selection was evaluated for pyramiding resistance gene alleles against coffee leaf rust (CLR) and coffee berry…”
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Bayesian inference applied to soybean grown under different shading levels using the multiple-trait model by Silva Júnior, Antônio Carlos da, Costa, Weverton Gomes da, Guimarães, Amanda Gonçalves, Moura, Waldênia de Melo, Campos, Leonardo José Motta, Rodrigues, Reimário de Castro, Bhering, Leonardo Lopes, Cruz, Cosme Damião, Evaristo, Anderson Barbosa

“…ABSTRACT present study aimed to determine the effects of different light restriction levels (shading levels) on soybean genetic parameters using a Bayesian…”
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