Navegando por Autor "Rosado, Renato Domiciano Silva"
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Item Artificial neural networks compared with Bayesian generalized linear regression for leaf rust resistance prediction in Arabica coffee(Pesquisa Agropecuária Brasileira, 2017-03) Silva, Gabi Nunes; Nascimento, Moysés; Sant’Anna, Isabela de Castro; Cruz, Cosme Damião; Caixeta, Eveline Teixeira; Carneiro, Pedro Crescêncio Souza; Rosado, Renato Domiciano Silva; Pestana, Kátia Nogueira; Almeida, Dênia Pires de; Oliveira, Marciane da SilvaThe objective of this work was to evaluate the use of artificial neural networks in comparison with Bayesian generalized linear regression to predict leaf rust resistance in Arabica coffee (Coffea arabica). This study used 245 individuals of a F2 population derived from the self-fertilization of the F1 H511-1 hybrid, resulting from a crossing between the susceptible cultivar Catuaí Amarelo IAC 64 (UFV 2148-57) and the resistant parent Híbrido de Timor (UFV 443-03). The 245 individuals were genotyped with 137 markers. Artificial neural networks and Bayesian generalized linear regression analyses were performed. The artificial neural networks were able to identify four important markers belonging to linkage groups that have been recently mapped, while the Bayesian generalized model identified only two markers belonging to these groups. Lower prediction error rates (1.60%) were observed for predicting leaf rust resistance in Arabica coffee when artificial neural networks were used instead of Bayesian generalized linear regression (2.4%). The results showed that artificial neural networks are a promising approach for predicting leaf rust resistance in Arabica coffee.Item Caracterização do sistema radical do feijoeiro e seu uso no melhoramento genético(Universidade Federal de Viçosa, 2012-03-20) Rosado, Renato Domiciano Silva; Vieira, Rogério Faria; http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4780045J0; Carneiro, Pedro Crescêncio Souza; http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4728227T6; Carneiro, José Eustáquio de Souza; http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4783648T9; http://lattes.cnpq.br/1080223166655232; Cruz, Cosme Damião; http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4788274A6; Oliveira, Marciane da Silva; http://lattes.cnpq.br/1583507435841611Atualmente, no Brasil, como forma de minimizar problemas relacionados à deficiência de fósforo no solo, são utilizados corretivos e fertilizantes, adequando o solo à planta. Considerando que as reservas globais de fósforo inorgânico estão se esgotando, a estratégia seria adequar a planta ao fósforo contido no solo. Para isso é necessário detectar e explorar o uso das diferenças genotípicas, especialmente as relacionadas à arquitetura das raízes. Com esse intuito, 56 genótipos de feijão foram avaliados e caracterizados fenotipicamente quanto ao sistema radical. Posteriormente, dois genótipos contrastantes quanto à arquitetura de raízes foram utilizados na composição de uma multilinha, visando verificar se a mistura de genótipos de feijoeiro (multilinha) com características contrastantes de arquitetura de raízes basais beneficia a produtividade de grãos. O primeiro experimento constou da semeadura dos 56 genótipos em campo, utilizando-se o delineamento em blocos ao acaso. Foram avaliados os caracteres produtividade e massa de 1.000 grãos. Sementes desse experimento foram germinadas em papel de germinação e colocadas em cubas de vidro com solução nutritiva de sulfato de cálcio, usando-se o delineamento em blocos ao acaso. Foram avaliados os seguintes caracteres: número de verticilos, número de raízes basais, nota de pelos nas raízes basais, ângulo médio das raízes basais e nota de pelos na raiz principal. Os dados foram submetidos à análise de diversidade genética, tomando-se como base o método de Tocher e de variáveis canônicas. O segundo experimento constou da avaliação dos genótipos Diamante Negro (raízes basais superficiais), Vi-10-2-1 (raízes basais profundas) e da multilinha (Diamante Negro + Vi-10-2-1), em ambientes contrastantes quanto à disponibilidade de fósforo no solo (plantios direto e convencional e adubado e não adubado), compondo um fatorial 3 x 2 x 2, no delineamento em blocos ao acaso. Nesse experimento foram avaliados: massa da parte aérea seca (MPAS), teor de fósforo (TP), conteúdo de fósforo (CP), produtividade (PROD) e os componentes de produção número de vagens por planta (NV), número de sementes por vagem e massa de 100 grãos (MCG). No primeiro experimento, com base na análise de diversidade, detectou-se que o germoplasma de feijão avaliado apresenta ampla variabilidade genética para características de raiz. Pela técnica de variáveis canônicas, o número de raízes basais, nota de pelos na raiz primária e ângulo médio das raízes basais foram, nesta ordem, as de menor importância para o grupo gênico mesoamericano; no caso do grupo gênico andino, o ângulo médio das raízes basais e nota de pelos na raiz basal foram os de menor importância. Esses resultados, comparados aos obtidos pela metodologia de Singh (1981), indicaram que há redundância entre número de raízes basais e número de verticilos e entre nota de pelos na raiz primária e nas raízes basais. Quando se repetiu o procedimento de agrupamento por Tocher, após a exclusão das variáveis menos importantes pela técnica de variáveis canônicas, obtiveram-se agrupamentos dos genótipos diferentes, indicando que, apesar de essas variáveis serem identificadas como as de menor contribuição para a diversidade dos genótipos, elas ainda contribuem com uma fração importante para discriminá-los. No segundo experimento, quando adubado, a multilinha (DN + Vi) superou a cultivar Vi 10-2-1 e se equiparou à cultivar Diamante Negro em produtividade de grãos, tanto no plantio direto quanto no convencional. Nesse caso, o pior comportamento foi do Vi, que por sinal apresenta raízes basais profundas. Em plantio convencional, não adubado, a multilinha foi bem superior às linhas puras, chegando a produzir 20% a mais que o DN e 40% a mais que o Vi.Item Direct, indirect and simultaneous selection as strategies for alfalfa breeding on forage yield and nutritive value(Pesquisa Agropecuária Tropical, 2018-04) Santos, Iara Gonçalves dos; Cruz, Cosme Damião; Nascimento, Moysés; Rosado, Renato Domiciano Silva; Ferreira, Reinaldo de PaulaAlfalfa breeding aimed at trait improvement for livestock feed takes longer periods of time, if compared to many other crops. Therefore, better selection methods are necessary for the success of alfalfa breeding programs. Although knowing about selection methods is quite important, there is a notable lack of information, as regards successful solutions. This study aimed to use direct, indirect and simultaneous selection methods for selecting alfalfa cultivars, based on yield traits and nutritive value. The evaluated traits were subdivided into two groups: forage yield and nutritive value. Selection gains were estimated by direct, indirect and simultaneous selection for each group, considering the selection of the 25 % best cultivars. Direct and indirect selections among genotype averages are not efficient to provide the desirable responses to the whole set of traits. The results for simultaneous selection, using the Tai index, provided a more balanced gain distribution to the set of traits in all cuts. The simultaneous selection allowed the identification of the 5681 and Verdor cultivars in the first cut, as well as ProINTA Patricia in the second cut, as superior in the two groups of evaluated traits.Item Genetic divergence between passion fruit hybrids and reciprocals based on seedling emergence and vigor(Journal of Seed Science, 2017-10) Rosado, Renato Domiciano Silva; Rosado, Luciana Domiciano Silva; Santos, Carlos Eduardo Magalhães dos; Dias, Denise Cunha Fernandes dos Santos; Cruz, Cosme Damião; Cremasco, João Paulo GavaCharacteristics related to seed quality have been rarely used in studies on the genetic diversity of passion fruit. The purpose of this study was to evaluate the genetic diversity between progenies constituted by hybrids and reciprocals, based on seed emergence and vigor traits. On the 28th day, emergence percentage, emergence speed index, shoot length, root length and total length of seedling; dry weight, number of normal seedlings and 100-seed weight were evaluated in a completely randomized design experiment with 20 progenies (hybrids and reciprocals) and four replications (50 seeds). Genetic diversity was determined using the Tocher optimization clustering methods and the unweighted pair group method, based on the Mahalanobis distance, as well as evaluating the relative contribution of the traits to genetic divergence and the correlation network, according to the relations between groups of quality, length and mass variables. The most contributing variable to genetic divergence was the total length of seedlings, the reciprocal effect did not present a consistent pattern in the studied hybrid combinations.Item Genetic divergence between passion fruit hybrids and reciprocals based on seedling emergence and vigor(Journal of Seed Science, 2017-10) Rosado, Renato Domiciano Silva; Rosado, Luciana Domiciano Silva; Santos, Carlos Eduardo Magalhães dos; Dias, Denise Cunha Fernandes dos Santos; Cruz, Cosme Damião; Cremasco, João Paulo GavaCharacteristics related to seed quality have been rarely used in studies on the genetic diversity of passion fruit. The purpose of this study was to evaluate the genetic diversity between progenies constituted by hybrids and reciprocals, based on seed emergence and vigor traits. On the 28th day, emergence percentage, emergence speed index, shoot length, root length and total length of seedling; dry weight, number of normal seedlings and 100-seed weight were evaluated in a completely randomized design experiment with 20 progenies (hybrids and reciprocals) and four replications (50 seeds). Genetic diversity was determined using the Tocher optimization clustering methods and the unweighted pair group method, based on the Mahalanobis distance, as well as evaluating the relative contribution of the traits to genetic divergence and the correlation network, according to the relations between groups of quality, length and mass variables. The most contributing variable to genetic divergence was the total length of seedlings, the reciprocal effect did not present a consistent pattern in the studied hybrid combinations.Item Genetic divergence of native palms of Oenocarpus distichus considering biometric fruit variables(Scientific Reports, 2019) Mendes, Gleidson Guilherme Caldas; Gusmão, Mônica Trindade Abreu de; Martins, Thales Guilherme Vaz; Rosado, Renato Domiciano Silva; Sobrinho, Rayanne Savina Alencar; Nunes, Andrei Caíque Pires; Ribeiro, Wellington Souto; Zanuncio, José ColaOenocarpus distichus presents economic, ecological, and dietary potential for pulp market processed in natura. Germplasm conservation and genetic improvement depend on genetic divergence studies. The objective was to quantify genetic divergence in a native population of O. distichus genotypes based on fruit biometrics. The fruit length and width, fruit mass, pulp and seed, pulp and almond thickness, and pulp yield per fruit were evaluated. All fruit biometric characteristics of O. distichus palms show genetic variability. Genetic variations among genotypes are essential for predicting heredity and heterosis, which are essential for improving O. distichus production. Pulp yield and seed mass were negatively correlated. Almond thickness and pulp, seed mass and transverse diameter were positively correlated. Genetic distances between pair of genotypes ranged from 0.07 to 48.10 with three genetically distinct groups. The seed mass, almond thickness and transverse diameter contributed to genetic divergence. Heritability estimates the genetic control that can be obtained from O. distichus germplasm. Correlations between the variable pair reduce the evaluation effort and the resources to measure the genotype allocations in heterogeneous groups presenting high genetic variability. This makes it possible to select individuals for hybridization programs with F1 generation gains. Correlation and relative contribution networks, based on relationships graphical between fruit biometric characteristics, allow the variables selection with less effort and fewer measurements. O. distichus fruit biometric characters are efficient to quantify genetic divergence between genotypes.