Search Results - "Filipe Couto Alves"

The Phaseolus vulgaris L. Yellow Bean Collection: genetic diversity and characterization for cooking time by Sadohara, Rie, Izquierdo, Paulo, Couto Alves, Filipe, Porch, Timothy, Beaver, James, Urrea, Carlos A., Cichy, Karen

“…Common bean ( Phaseolus vulgaris L.) is a nutrient-rich food, but its long cooking times hinder its wider utilization. The Yellow Bean Collection (YBC) was…”
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On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids by Galli, Giovanni, Alves, Filipe Couto, Morosini, Júlia Silva, Fritsche-Neto, Roberto

“…Genome-wide association studies (GWAS) is one of the most popular methods of studying the genetic control of traits. This methodology has been intensely…”
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CV-α: designing validations sets to increase the precision and enable multiple comparison tests in genomic prediction by Yassue, Rafael Massahiro, Sabadin, Felipe, Galli, Giovanni, Alves, Filipe Couto, Fritsche-Neto, Roberto

“…Usually, the comparison among genomic prediction models is based on validation schemes as Repeated Random Subsampling (RRS) or K-fold cross-validation…”
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Selection of carioca common bean progenies resistant to white mold by Carvalho, Renato Sérgio Batista, Lima, Igor Almeida, Alves, Filipe Couto, Santos, João Bosco dos

“…A backcross breeding program between commercial common bean cultivars (VC3 and M20) and sources of resistance (Ex-Rico 23 and G122) was conducted with a view…”
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Impact of the complexity of genotype by environment and dominance modeling on the predictive accuracy of maize hybrids in multi-environment prediction models by Alves, Filipe Couto, Galli, Giovanni, Matias, Filipe Inácio, Vidotti, Miriam Suzane, Morosini, Júlia Silva, Fritsche-Neto, Roberto

“…The prediction accuracy of multi-environment prediction models can be affected by the complexity of the genotype by environment interaction (G×E). Moreover,…”
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Bayesian analysis and prediction of hybrid performance by Alves, Filipe Couto, Granato, Ítalo Stefanine Correa, Galli, Giovanni, Lyra, Danilo Hottis, Fritsche-Neto, Roberto, de Los Campos, Gustavo

“…The selection of hybrids is an essential step in maize breeding. However, evaluating a large number of hybrids in field trials can be extremely costly…”
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Maize responsiveness to Azospirillum brasilense: Insights into genetic control, heterosis and genomic prediction by Vidotti, Miriam Suzane, Matias, Filipe Inácio, Alves, Filipe Couto, Pérez-Rodríguez, Paulino, Beltran, Gregório Alvarado, Burgueño, Juan, Crossa, José, Fritsche-Neto, Roberto

“…Several studies have shown differences in the abilities of maize genotypes to facilitate or impede Azospirillum brasilense colonization and to receive benefits…”
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Multi-trait genomic prediction for nitrogen response indices in tropical maize hybrids by Lyra, Danilo Hottis, de Freitas Mendonça, Leandro, Galli, Giovanni, Alves, Filipe Couto, Granato, Ítalo Stefanine Correia, Fritsche-Neto, Roberto

“…In maize breeding, genomic prediction may be an efficient tool for selecting single-crosses evaluated under abiotic stress conditions. In addition, a promising…”
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On the accuracy of genomic prediction models considering multi-trait and allele dosage in Urochloa spp. interspecific tetraploid hybrids by Matias, Filipe Inácio, Alves, Filipe Couto, Meireles, Karem Guimarães Xavier, Barrios, Sanzio Carvalho Lima, do Valle, Cacilda Borges, Endelman, Jeffrey B., Fritsche-Neto, Roberto

“…Currently, there is a lack of information regarding the employment of genomic prediction in tropical forages when compared to other crops and temperate…”
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Modeling copy number variation in the genomic prediction of maize hybrids by Lyra, Danilo Hottis, Galli, Giovanni, Alves, Filipe Couto, Granato, Ítalo Stefanine Correia, Vidotti, Miriam Suzane, Bandeira e Sousa, Massaine, Morosini, Júlia Silva, Crossa, José, Fritsche-Neto, Roberto

“…Key message Our study indicates that copy variants may play an essential role in the phenotypic variation of complex traits in maize hybrids. Moreover,…”
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Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review by Fritsche-Neto, Roberto, Galli, Giovanni, Borges, Karina Lima Reis, Costa-Neto, Germano, Alves, Filipe Couto, Sabadin, Felipe, Lyra, Danilo Hottis, Morais, Pedro Patric Pinho, Braatz de Andrade, Luciano Rogério, Granato, Italo, Crossa, Jose

“…The usefulness of genomic prediction (GP) for many animal and plant breeding programs has been highlighted for many studies in the last 20 years. In maize…”
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Increasing accuracy and reducing costs of genomic prediction by marker selection by e Sousa, Massaine Bandeira, Galli, Giovanni, Lyra, Danilo Hottis, Granato, Ítalo Stefanini Correia, Matias, Filipe Inácio, Alves, Filipe Couto, Fritsche-Neto, Roberto

“…Genotyping costs can be reduced without decreasing the genomic selection accuracy through methodologies of markers subsets assortment. Thus, we compared two…”
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Controlling population structure in the genomic prediction of tropical maize hybrids by Lyra, Danilo Hottis, Granato, Ítalo Stefanine Correia, Morais, Pedro Patric Pinho, Alves, Filipe Couto, dos Santos, Anna Rita Marcondes, Yu, Xiaoqing, Guo, Tingting, Yu, Jianming, Fritsche-Neto, Roberto

“…In tropical maize breeding programs where more than two heterotic groups are crossed, factors such as population structure (PS) can influence the achievement…”
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Using public databases for genomic prediction of tropical maize lines by Pinho Morais, Pedro Patric, Akdemir, Deniz, Braatz de Andrade, Luciano Rogério, Jannink, Jean‐Luc, Fritsche‐Neto, Roberto, Borém, Aluízio, Couto Alves, Filipe, Hottis Lyra, Danilo, Granato, Ítalo Stefanine Correia

“…In this paper, the aims were (a) to test the usefulness of using genomic and phenotypic information from public databases (open access) to predict genetic…”
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Accuracy and simultaneous selection gains for N-stress tolerance and N-use efficiency in maize tropical lines by Mendonça, Leandro de Freitas, Granato, Ítalo Stefanine Correia, Alves, Filipe Couto, Morais, Pedro Patric Pinho, Vidotti, Miriam Suzane, Fritsche-Neto, Roberto

“…ABSTRACT Maize plants can be N-use efficient or N-stress tolerant. The first have high yields in favorable environments but is drastically affected under…”
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Increasing the resistance of common bean to white mold through recurrent selection by Leite, Monik Evelin, Dias, Juliana Andrade, Souza, Danuza Araujo de, Alves, Filipe Couto, Pinheiro, Lucas Rezende, Santos, João Bosco dos

“…ABSTRACT White mold, caused by Sclerotinea sclerotiorum (Lib.) de Bary is one of the most important diseases of the common bean (Phaseolus vulgaris L.)…”
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Reaction of common bean lines derived from recurrent selection for white mold resistance and aggressiveness of Sclerotinia sclerotirum isolates by Leite, Monik Evelin, Figueiredo, Izabel Cristina Rodrigues de, Dias, Juliana Andrade, Alves, Filipe Couto, Santos, João Bosco dos

“…The objectives of this study were to verify the resistance of common bean lines derived from recurrent selection for white mold resistance and to identify…”
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Evaluating the applicability of soil moisture-based metrics for gauging the resiliency of rainfed agricultural systems in the midwestern United States by Eeswaran, Rasu, Nejadhashemi, A. Pouyan, Alves, Filipe Couto, Saravi, Babak

“…•Soil moisture has the potential to be used as a measurement of the resiliency.•We examined the applicability of four soil moisture metrics to measure…”
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Effect of pre-conceptional nutrition and season on fetal growth during early pregnancy in sheep by Makela, Barbara, Recktenwald, Erin, Alves, Filipe Couto, Ehrhardt, Richard, Veiga-Lopez, Almudena

“…Gestational age in sheep can be closely predicted through ultrasonographic measurement of fetal bones when correlated to standardized fetal growth curves…”
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MOSS: multi-omic integration with sparse value decomposition by Gonzalez-Reymundez, Agustin, Grueneberg, Alexander, Lu, Guanqi, Alves, Filipe Couto, Rincon, Gonzalo, Vazquez, Ana I

“…This article presents multi-omic integration with sparse value decomposition (MOSS), a free and open-source R package for integration and feature selection in…”
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