Comparação de métodos de agrupamento para o estudo da divergência genética em cultivares de feijão

Filho, Alberto Cargnelutti; Ribeiro, Nerinéia Dalfollo; Reis, Rodrigo Citton Padilha dos; Souza, Joseane Rodrigues de; Jost, Evandro

doi:10.1590/s0103-84782008000800008

Cited by 36 publications

(24 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Cargnelutti et al (2008), by the analysis of 14 bean cultivars, reported estimates which were higher, as they observed a correlation of 0,90 either for the Mahalanobis distance, or for the Euclidean distance. In the dendrogram generated from the Mahalanobis and the Euclidiana distances, the cuts were made in a level of 50% of dissimilarity, agreeing with Santos et al (2013) and Torres et al (2015), who used the same percentage of dissimilarity to observe the group formation in soybean genetic diversity study.…”

Section: Resultsmentioning

confidence: 92%

Dissimilarity measures and hierarchical methods for the study of genetic diversity on soybean

Rodrigues¹,

Gomes²,

Gomes³

et al. 2017

Biosci. J.

View full text Add to dashboard Cite

ABSTRACT:In analysis of the genetic diversity on soybean can be used agronomic, morphological and molecular traits, which are subjected to multivariate biometrical analysis. There are different multivariate methodologies available such as Euclidean distance, Mahalanobis distance and different hierarchical methods. However, studies that may assist in the choice of such methods are lacking. The aim of this paper was to evaluate the clustering standards of soybean genotypes using Euclidean and Mahalanobis distances, following different hierarchical methods. The experiment was conducted in "Capim Branco" farm which belongs to the Federal University of Uberlândia and were used a complete randomized block design composed of 15 soybean genotypes (nine breeding lines and six cultivars) and four replications. The agronomic traits evaluated were: number of days to flowering and to maturity, height of the plant at flowering and at maturity, height of the insertion of the first pod, number of nodes on the main stalk in flowering and at maturity, number of grains per pod, total number of pods, severity of Asian rust, number of pustules and yield. The data were submitted to multivariate analysis in GENES program. The Mahalanobis distance or the Euclidean distance obtained by agronomic traits allows the determination of soybean genetic diversity. The use of the Euclidean distance in hierarchical methods allows a greater group differentiation. The UPGMA method and the nearest neighbor method shows a greater accuracy using the Mahalanobis distance and Euclidean distance.

show abstract

Section: Resultsmentioning

confidence: 92%

Dissimilarity measures and hierarchical methods for the study of genetic diversity on soybean

Rodrigues¹,

Gomes²,

Gomes³

et al. 2017

Biosci. J.

View full text Add to dashboard Cite

show abstract

“…Sanglard et al (2013), using a set of 126 SSR (simple sequence repeat) and 677 single nucleotide polymorphism (SNP) markers, estimated the genetic distance between Rudá and AND 277 as 78.6 and 71.3%, respectively. Cargnelutti Filho et al (2008) also split an Andean cultivar and 12 other Mesoamerican cultivars by hierarchical and Tocher methods based on the Mahalanobis generalized distance matrix. Veloso et al (2015) used molecular markers to assess genetic dissimilarity among cultivars and showed that the greatest difference belonged to the Black/Mesoamerican and Streaked/Andean types.…”

Section: Discussionmentioning

confidence: 99%

Morphoagronomic characterization and genetic diversity of a common bean RIL mapping population derived from the cross Rudá x AND 277

et al. 2016

View full text Add to dashboard Cite

ABSTRACT. Recombinant inbred lines (RILs) are a valuable resource for building genetic linkage maps. The presence of genetic variability in the RILs is essential for detecting associations between molecular markers and loci controlling agronomic traits of interest. The main goal of this study was to quantify the genetic diversity of a common bean 2 L.C. Silva et al. Genetics and Molecular Research 15 (3): gmr.15038112 RIL population derived from a cross between Rudá (Mesoamerican gene pool) and AND 277 (Andean gene pool). This population was developed by the single seed descent method from 500 F 2 plants until the F 10 generation. Seven quantitative traits were evaluated in the field in 393 RILs, the parental lines, and five control cultivars. The plants were grown using a randomized block design with additional controls and three replicates. Significant differences were observed among the RILs for all evaluated traits (P < 0.01). A comparison of the RILs and parental lines showed significant differences (P < 0.01) for the number of days to flowering (DFL) and to harvest (DH), productivity (PROD) and mass of 100 beans (M100); however, there were no significant differences for plant architecture, degree of seed flatness, or seed shape. These results indicate the occurrence of additive x additive epistatic interactions for DFL, DH, PROD, and M100. The 393 RILs were shown to fall into 10 clusters using Tocher's method. This RIL population clearly contained genetic variability for the evaluated traits, and this variability will be crucial for future studies involving genetic mapping and quantitative trait locus identification and analysis.

show abstract

“…Os dados foram padronizados e a distância escolhida foi a euclidiana média, devido à ausência de repetições nos tratamentos. O método de agrupamento escolhido foi o método da ligação completa, o qual tem tendência a formar grupos compactos (CARGNELUTTI FILHO et al, 2008).…”

Section: Análise Estatísticaunclassified

Estatística multivariada aplicada em dados de custos da fase de pós-colheita do café

Santos¹,

Vieira²,

Borém³

et al. 2017

C.Sci.

View full text Add to dashboard Cite

RESUMO:A escolha do modo de processamento do café é decisiva na rentabilidade da atividade cafeeira, e dependerá de diversos fatores. Assim, em decorrência da existência de tantas variáveis é comum o produtor questionar a viabilidade de determinados tipos de processamentos. Desse modo, o objetivo deste trabalho foi realizar um estudo dos principais fatores influenciadores no custo da pós-colheita do café. Quarenta e seis fazendas das regiões do Cerrado, Matas de Minas e Sul de Minas Gerais responderam a um questionário elaborado no sentido de possibilitar esta análise. A aplicação das técnicas multivariadas de análise de agrupamento, análise de fatores e análise de componentes principais, possibilitou concluir que as fazendas com maiores custos simulados foram as que possuíam as maiores porcentagens de produção de café via úmida.Termos para indexação: Agrupamento, componentes principais, análise de fatores. MULTIVARIATE STATISTICAL APPLIED TO DATA COSTS POST-HARVEST COFFEE

show abstract

Comparação de métodos de agrupamento para o estudo da divergência genética em cultivares de feijão

Cited by 36 publications

References 5 publications

Dissimilarity measures and hierarchical methods for the study of genetic diversity on soybean

Dissimilarity measures and hierarchical methods for the study of genetic diversity on soybean

Morphoagronomic characterization and genetic diversity of a common bean RIL mapping population derived from the cross Rudá x AND 277

Estatística multivariada aplicada em dados de custos da fase de pós-colheita do café

Contact Info

Product

Resources

About