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Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach Agronomy
Euzebio, Milena Pierotti; Fonseca, Inês Cristina de Batista; Fonseca Júnior, Nelson da Silva; Nascimento, Moysés; Giordani, Willian; Gonçalves, Leandro Simões Azeredo.
 To develop new bean commercial cultivars, a series of experiments called Value for Cultivation and Use (VCU) assays are necessary. Bayesian analysis using information on prior VCU trials is an alternative to obtain greater precision during genotype selection. The objective of the present work was to select, under a Bayesian perspective, genotypes of the carioca bean from the state of Paraná that combine high adaptability and phenotypic stability, using information from previous VCU assays. This study used data from six experiments conducted in a randomized block design, in which the grain yield of 18 genotypes was assayed. To represent weakly informative prior distributions, the study used probability distributions with high variance; to represent...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Ciências Agrárias Phaseolus vulgaris L.; Value for cultivation and use; Eberhart and Russell; Bayes factor; Informative prior. Melhoramento de Plantas.
Ano: 2018 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/35272
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Adaptability and stability assessment of bean cultivars of the carioca commercial group by a Bayesian approach Agronomy
Euzebio, Milena Pierotti; Fonseca, Inês Cristina de Batista; Fonseca Júnior, Nelson da Silva; Nascimento, Moysés; Giordani, Willian; Gonçalves, Leandro Simões Azeredo.
 To develop new bean commercial cultivars, a series of experiments called Value for Cultivation and Use (VCU) assays are necessary. Bayesian analysis using information on prior VCU trials is an alternative to obtain greater precision during genotype selection. The objective of the present work was to select, under a Bayesian perspective, genotypes of the carioca bean from the state of Paraná that combine high adaptability and phenotypic stability, using information from previous VCU assays. This study used data from six experiments conducted in a randomized block design, in which the grain yield of 18 genotypes was assayed. To represent weakly informative prior distributions, the study used probability distributions with high variance; to represent...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Phaseolus vulgaris L.; Value for cultivation and use; Eberhart and Russell; Bayes factor; Informative prior.; Melhoramento de Plantas.
Ano: 2018 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/35272
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Estabilidade e adaptabilidade de produção de grãos de soja por meio de metodologias tradicionais e redes neurais artificiais Sci. Agrar.Paran. / SAP
Oda, Mario do Carmo; Sediyama, Tuneo; Matsuo, Eder; Nascimento, Moysés; Cruz, Cosme Damião.
Em programas de melhoramento genético, o conhecimento sobre a interação genótipos x ambientes e da recomendação por meio de análise de adaptabilidade e estabilidade tornam-se imprescindíveis para melhoristas de soja. Desta forma, objetivou-se neste trabalho avaliar a estabilidade e adaptabilidade do rendimento de grãos de linhagens elites, utilizando métodos tradicionais e abordagens fundamentadas em redes neurais artificiais. Para o uso das redes neurais em análise de estabilidade e adaptabilidade não requer conhecimento prévio a respeito do comportamento a ser modelado e de nenhuma pressuposição em relação às variáveis em estudo; além de ser útil para contornar problemas ligados ao pequeno número de ambientes e à perda de informações. Foram analisados 20...
Tipo: Info:eu-repo/semantics/article
Ano: 2019 URL: http://e-revista.unioeste.br/index.php/scientiaagraria/article/view/21109
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Fuzzy control systems for decision-making in cultivars recommendation Agronomy
Carneiro, Vinícius Quintão; Prado, Adalgisa Leles do; Cruz, Cosme Damião; Carneiro, Pedro Crescêncio Souza; Nascimento, Moysés; Carneiro, José Eustáquio de Souza.
The objective of the present study was to propose fuzzy control systems to support the recommendation of cultivars of different agronomic crops. Grain yield data from 23 lines and 2 cultivars of red bean were used to evaluate the applicability of these controllers. Genotypes were evaluated in nine environments in the Zona da Mata region, Minas Gerais State, Brazil. Using the parameters of Eberhart and Russell analysis, fuzzy controllers were developed with the Mamdani and Sugeno inference systems. Analyses of adaptability and stability were carried out by the method of Eberhart and Russell. The parameters obtained for each genotype were submitted to the respective controllers. There were significant genotypes x environments interaction, which justified the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Common bean; Adaptability and stability; Computational intelligence..
Ano: 2018 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39314
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Fuzzy control systems for decision-making in cultivars recommendation Agronomy
Carneiro, Vinícius Quintão; Prado, Adalgisa Leles do; Cruz, Cosme Damião; Carneiro, Pedro Crescêncio Souza; Nascimento, Moysés; Carneiro, José Eustáquio de Souza.
The objective of the present study was to propose fuzzy control systems to support the recommendation of cultivars of different agronomic crops. Grain yield data from 23 lines and 2 cultivars of red bean were used to evaluate the applicability of these controllers. Genotypes were evaluated in nine environments in the Zona da Mata region, Minas Gerais State, Brazil. Using the parameters of Eberhart and Russell analysis, fuzzy controllers were developed with the Mamdani and Sugeno inference systems. Analyses of adaptability and stability were carried out by the method of Eberhart and Russell. The parameters obtained for each genotype were submitted to the respective controllers. There were significant genotypes x environments interaction, which justified the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Feijão comum adaptabilidade e estabilidade inteligência computacional. common bean; Adaptability and stability; Computational intelligence..
Ano: 2018 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/39314
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GenomicLand: Software for genome-wide association studies and genomic prediction Agronomy
Azevedo, Camila Ferreira; Nascimento, Moysés; Fontes, Vitor Cunha; Silva, Fabyano Fonseca e; Resende, Marcos Deon Vilela de; Cruz, Cosme Damião.
 GenomicLand is free software intended for prediction and genomic association studies based on the R software. This computational tool has an intuitive interface and supports large genomic databases, without requiring the user to use the command line. GenomicLand is available in English, can be downloaded from the Internet (https://licaeufv.wordpress.com/), and requires the Windows or Linux operating system. The software includes statistical procedures based on mixed models, Bayesian inference, dimensionality reduction and artificial intelligence. Examples of data files that can be processed by GenomicLand are available. The examples are useful to learn about the operation of the modules and statistical procedures.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Statistical analysis; Genomic analysis; Molecular markers; Biometrics..
Ano: 2019 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361
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GenomicLand: Software for genome-wide association studies and genomic prediction Agronomy
Azevedo, Camila Ferreira; Nascimento, Moysés; Fontes, Vitor Cunha; Silva, Fabyano Fonseca e; Resende, Marcos Deon Vilela de; Cruz, Cosme Damião.
 GenomicLand is free software intended for prediction and genomic association studies based on the R software. This computational tool has an intuitive interface and supports large genomic databases, without requiring the user to use the command line. GenomicLand is available in English, can be downloaded from the Internet (https://licaeufv.wordpress.com/), and requires the Windows or Linux operating system. The software includes statistical procedures based on mixed models, Bayesian inference, dimensionality reduction and artificial intelligence. Examples of data files that can be processed by GenomicLand are available. The examples are useful to learn about the operation of the modules and statistical procedures.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Statistical analysis; Genomic analysis; Molecular markers; Biometrics..
Ano: 2019 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45361
Registros recuperados: 7
Primeira ... 1 ... Última
 

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