Artigos
URI permanente para esta coleçãohttps://locus.ufv.br/handle/123456789/11845
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Item Fuzzy control systems for decision-making in cultivars recommendation(Acta Scientiarum. Agronomy, 2018) Carneiro, Vinícius Quintão; Prado, Adalgisa Leles do; Cruz, Cosme Damião; Carneiro, Pedro Crescêncio Souza; Nascimento, Moysés; Carneiro, José Eustáquio de SouzaThe 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 necessity of performing an adaptability and stability analysis. For both controllers (Mamdani and Sugeno), seven lines presented general adaptability, while only one presented adaptability to unfavorable environments. It was also found that both inference systems were useful for developing controllers that had the aim of recommending cultivars. Thus, it was noted that fuzzy control systems have the potential to identify the behavior of bean genotypes.Item Quantile regression for genome-wide association study of flowering time-related traits in common bean(Plos One, 2018) 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 LopesFlowering is an important agronomic trait. Quantile regression (QR) can be used to fit models for all portions of a probability distribution. In Genome-wide association studies (GWAS), QR can estimate SNP (Single Nucleotide Polymorphism) effects on each quantile of interest. The objectives of this study were to estimate genetic parameters and to use QR to identify genomic regions for phenological traits (Days to first flower—DFF; Days for flowering—DTF; Days to end of flowering—DEF) in common bean. A total of 80 genotypes of common beans, with 3 replicates were raised at 4 locations and seasons. Plants were genotyped for 384 SNPs. Traditional single-SNP and 9 QR models, ranging from equally spaced quantiles (τ) 0.1 to 0.9, were used to associate SNPs to phenotype. Heritabilities were moderate high, ranging from 0.32 to 0.58. Genetic and phenotypic correlations were all high, averaging 0.66 and 0.98, respectively. Traditional single-SNP GWAS model was not able to find any SNP-trait association. On the other hand, when using QR methodology considering one extreme quantile (τ = 0.1) we found, respectively 1 and 7, significant SNPs associated for DFF and DTF. Significant SNPs were found on Pv01, Pv02, Pv03, Pv07, Pv10 and Pv11 chromosomes. We investigated potential candidate genes in the region around these significant SNPs. Three genes involved in the flowering pathways were identified, including Phvul.001G214500, Phvul.007G229300 and Phvul.010G142900.1 on Pv01, Pv07 and Pv10, respectively. These results indicate that GWAS-based QR was able to enhance the understanding on genetic architecture of phenological traits (DFF and DTF) in common bean.Item Combining ability of common bean parents in different seasons, locations and generations(Euphytica, 2018-10) Moura, Lisandra Magna; Anjos, Rafael Silva Ramos dos; Batista, Renata Oliveira; Vale, Naine Martins do; Cruz, Cosme Damião; Carneiro, José Eustáquio de Souza; Machado, Juarez Campolina; Carneiro, Pedro Crescêncio SouzaThe objectives of this study were to obtain information about genetic parameters of a partial diallel in common bean, as well as to evaluate the effects of growing seasons, locations and generations in these estimates in order to define the best strategies for the use of diallel analysis as methodology of selection of parents and populations in common bean breeding. Twelve parents were crossed in a partial diallel scheme (5 × 7), and the F1 and F2 generations were evaluated in four experiments (I, II, III, and IV). The effects of seasons were determined in the Experiments I and II, in which the F1 generation was evaluated in two distinct growing seasons. To quantify the effect of locations, we used Experiments III and IV, in which the F2 generation was evaluated in the same season, but at different locations, and to quantify the effect of generations, the experiments II (generation F1) and III (F2 generation) were evaluated in the same season and location. As for grain yield the genetic control varied according to the environment. An effect of interaction on the genetic parameters of the diallel was observed for generation, whereas for grain yield, effects of season and location were observed. For plant architecture, parental combining ability should therefore be estimated using the F1 generation, while for grain yield, both the F1 and F2 can be used. The recombination between the best hybrids is a promising strategy for extraction of superior black bean lines.Item Integração de dados em estudos de diversidade genética de tomateiro(Pesquisa Agropecuária Brasileira, 2011-10-23) Martins, Francielle Alline; Carneiro, Pedro Crescêncio Souza; Silva, Derly José Henriques da; Cruz, Cosme Damião; Carneiro, José Eustáquio de SouzaO objetivo deste trabalho foi integrar dados de caracteres quantitativos, multicategóricos, moleculares e fitopatológicos para a avaliação da diversidade genética de subamostras de tomateiro do Banco de Germoplasma de Hortaliças da Universidade Federal de Viçosa (BGH-UFV). Foram utilizados dados de 67 subamostras de tomateiro do BGH-UFV, caracterizadas quanto a 19 caracteres quantitativos, 30 multicategóricos, 52 locos ISSR e à reação a três patógenos (Alternaria solani, Pseudomonas syringae pv. tomato e Tomato yellow spot virus). Inicialmente, a avaliação da diversidade entre as subamostras foi realizada para cada conjunto de caracteres individualmente, e indicou que a diversidade baseada em qualquer um dos conjuntos de dados não reflete a diversidade dos demais. Para a integração dos dados, codificaram-se os de natureza quantitativa em multicategóricos, por meio de cinco estratégias diferentes. A estratégia de divisão equitativa da amplitude dos dados em três classes foi a mais indicada, com correlação de 0,78 entre as matrizes de dissimilaridade dos dados codificados e originais. A análise de diversidade genética a partir da integração dos dados resultou em grupos com maior correspondência às origens das subamostras de tomateiro avaliadas, o que indica que a integração de dados de diferentes naturezas pode ser realizada com êxito pela conversão dos dados quantitativos em multicategóricos.