Search Results - "NASCIMENTO, Ana Carolina Campana"

Multi-trait multi-environment models in the genetic selection of segregating soybean progeny by Volpato, Leonardo, Alves, Rodrigo Silva, Teodoro, Paulo Eduardo, Vilela de Resende, Marcos Deon, Nascimento, Moysés, Nascimento, Ana Carolina Campana, Ludke, Willian Hytalo, Lopes da Silva, Felipe, Borém, Aluízio

“…At present, single-trait best linear unbiased prediction (BLUP) is the standard method for genetic selection in soybean. However, when genetic selection is…”
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Genomic prediction in multi-environment trials in maize using statistical and machine learning methods by Barreto, Cynthia Aparecida Valiati, das Graças Dias, Kaio Olimpio, de Sousa, Ithalo Coelho, Azevedo, Camila Ferreira, Nascimento, Ana Carolina Campana, Guimarães, Lauro José Moreira, Guimarães, Claudia Teixeira, Pastina, Maria Marta, Nascimento, Moysés

“…In the context of multi-environment trials (MET), genomic prediction is proposed as a tool that allows the prediction of the phenotype of single cross hybrids…”
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Updated knowledge in the estimation of genetics parameters: a Bayesian approach in white oat (Avena sativa L.) by Azevedo, Camila Ferreira, Nascimento, Moysés, Carvalho, Ivan Ricardo, Nascimento, Ana Carolina Campana, de Almeida, Helaine Claire Ferreira, Cruz, Cosme Damião, da Silva, José Antonio Gonzalez

“…The present study aimed to implement a Bayesian framework for genetic analysis in crop species breeding and present different procedures for informative prior…”
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Factor analysis applied in genomic selection studies in the breeding of Coffea canephora by Paixão, Pedro Thiago Medeiros, Nascimento, Ana Carolina Campana, Nascimento, Moysés, Azevedo, Camila Ferreira, Oliveira, Gabriela França, da Silva, Felipe Lopes, Caixeta, Eveline Teixeira

“…Brazil stands out worldwide in the production of coffee. The observed increases in its productivity and morpho agronomic traits are the results of the…”
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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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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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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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Independent Component Analysis (ICA) based-clustering of temporal RNA-seq data by Nascimento, Moysés, Silva, Fabyano Fonseca E, Sáfadi, Thelma, Nascimento, Ana Carolina Campana, Ferreira, Talles Eduardo Maciel, Barroso, Laís Mayara Azevedo, Ferreira Azevedo, Camila, Guimarães, Simone Eliza Faccione, Serão, Nick Vergara Lopes

“…Gene expression time series (GETS) analysis aims to characterize sets of genes according to their longitudinal patterns of expression. Due to the large number…”
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Exploring the multivariate technique in the discrimination of Coffea arabica L. cultivars regarding the production and quality of grains under the effect of water management by Ferreira, Daniel Soares, Canal, Guilherme Bravin, Nascimento, Moyses, Nascimento, Ana Carolina Campana, Ferreira, João Marcos Soares, do Amaral, José Francisco Teixeira, Pereira, Lucas Louzada, Rodrigues, Wagner Nunes, Ribeiro, Wilian Rodrigues, Castanheira, Dalyse Toledo, Tomaz, Marcelo Antônio

“…With globalization and easy access to information, a consumer market that is more conscious and focused on the search for superior quality coffees appears. To…”
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Updating knowledge in estimating the genetics parameters: Multi-trait and Multi-Environment Bayesian analysis in rice by Azevedo, Camila Ferreira, Barreto, Cynthia Aparecida Valiati, Suela, Matheus Massariol, Nascimento, Moysés, Silva Júnior, Antônio Carlos da, Nascimento, Ana Carolina Campana, Cruz, Cosme Damião, Soraes, Plínio César

“…ABSTRACT Among the multi-trait models selected to study several traits and environments jointly, the Bayesian framework has been a preferred tool when…”
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Bayesian methods for genomic association of chromosomic regions considering the additive-dominance model by Azevedo, Camila Ferreira, Lima, Leísa Pires, Nascimento, Moyses, Nascimento, Ana Carolina Campana

“…Bayesian approaches applied in association studies select regions of single-nucleotide polymorphisms, indicating genes with important effects. The Bayesian…”
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Determination of optimal number of independent components in yield traits in rice by da Costa, Jaquicele Aparecida, Azevedo, Camila Ferreira, Nascimento, Moysés, Silva, Fabyano Fonseca e, de Resende, Marcos Deon Vilela, Nascimento, Ana Carolina Campana

“…The principal component regression (PCR) and the independent component regression (ICR) are dimensionality reduction methods and extremely important in genomic…”
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Genomic prediction with the additive-dominant model by dimensionality reduction methods by Costa, Jaquicele Aparecida da, Azevedo, Camila Ferreira, Nascimento, Moysés, Silva, Fabyano Fonseca e, Resende, Marcos Deon Vilela de, Nascimento, Ana Carolina Campana

“…The objective of this work was to evaluate the application of different dimensionality reduction methods in the additive-dominant model and to compare them…”
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Nonlinear quantile regression to describe the dry matter accumulation of garlic plants by Puiatti, Guilherme Alves, Cecon, Paulo Roberto, Nascimento, Moysés, Nascimento, Ana Carolina Campana, Carneiro, Antônio Policarpo Souza, Silva, Fabyano Fonseca e, Puiatti, Mário, Cruz, Cosme Damião

“…The objective of this study was to adjust nonlinear quantile regression models for the study of dry matter accumulation in garlic plants over time, and to…”
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Use of regularized quantile regression to predict the genetic merit of pigs for asymmetric carcass traits by Santos, Patricia Mendes dos, Nascimento, Ana Carolina Campana, Nascimento, Moysés, Silva, Fabyano Fonseca e, Azevedo, Camila Ferreira, Mota, Rodrigo Reis, Guimarães, Simone Eliza Facioni, Lopes, Paulo Sávio

“…The objective of this work was to evaluate the use of regularized quantile regression (RQR) to predict the genetic merit of pigs for asymmetric carcass traits,…”
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Quantile regression of nonlinear models to describe different levels of dry matter accumulation in garlic plants by Puiatti, Guilherme Alves, Cecon, Paulo Roberto, Nascimento, Moysés, Nascimento, Ana Carolina Campana, Carneiro, Antônio Policarpo Souza, Silva, Fabyano Fonseca e, Puiatti, Mário, Oliveira, Ana Carolina Ribeiro de

“…Plant growth analyses are important because they generate information on the demand and necessary care for each development stage of a plant. Nonlinear…”
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Analysis of the adaptability of black bean cultivars by means of quantile regression by Barroso, Laís Mayara Azevedo, Nascimento, Moysés, Barili, Leiri Daiane, Nascimento, Ana Carolina Campana, Vale, Naine Martins do, Silva, Fabyano Fonseca e, Carneiro, José Eustáquio de Souza

“…The aim of this study was to use quantile regression (QR) to characterize the effect of the adaptability parameter throughout the distribution of the…”
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Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes by Nascimento, Moysés, Peternelli, Luiz Alexandre, Cruz, Cosme Damião, Nascimento, Ana Carolina Campana, Ferreira, Reinaldo de Paula, Bhering, Leonardo Lopes, Salgado, Caio Césio

“…The purpose of this work was to evaluate a methodology of adaptability and phenotypic stability of alfalfa genotypes based on the training of an artificial…”
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Quantile regression in genomic selection for oligogenic traits in autogamous plants: A simulation study by Oliveira, Gabriela França, Nascimento, Ana Carolina Campana, Nascimento, Moysés, Sant'Anna, Isabela de Castro, Romero, Juan Vicente, Azevedo, Camila Ferreira, Bhering, Leonardo Lopes, Moura, Eveline Teixeira Caixeta

“…This study assessed the efficiency of Genomic selection (GS) or genome-wide selection (GWS), based on Regularized Quantile Regression (RQR), in the selection…”
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Association between responses obtained using adaptability and stability methods in alfalfa by Nascimento, Moysés, Nascimento, Ana Carolina Campana, Cirillo, Marcelo Ângelo, Ferreira, Adésio, Peternelli, Luiz Alexandre, Paula, Reinaldo Ferreira de

“…This study aimed to evaluate the association between responses obtained using methods of adaptability and stability by using correspondence analysis. The…”
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