Consistência do padrão de agrupamento de cultivares de feijão conforme medidas de dissimilaridade e métodos de agrupamento

Filho, Alberto Cargnelutti; Ribeiro, Nerinéia Dalfollo; Burin, Cláudia

doi:10.1590/s0100-204x2010000300002

Cited by 21 publications

(7 citation statements)

References 7 publications

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“…The cophenetic correlation estimates obtained in the method of the furthest neighbor were 0,58 and 0,77 respectively to the Mahalanobis and Euclidean distances (Table 3). These results were partially higher than the ones obtained by Cargnelutti Filho et al (2010) in studies using beanstalk, as those authors found values from 0,62 and 0,67 for the Mahalanobis and Euclidiana distances respectively.…”

Section: Resultscontrasting

confidence: 60%

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

Rodrigues¹,

Gomes²,

Gomes³

et al. 2017

Biosci. J.

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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.

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Section: Resultscontrasting

confidence: 60%

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

Rodrigues¹,

Gomes²,

Gomes³

et al. 2017

Biosci. J.

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“…Cluster analysis was carried out by the unweighted pair group method with arithmetic mean (UPGMA). The cophenetic correlation coefficient (CCC) was established from the Pearson linear correlation between the elements of the cophenetic matrix and the elements of the dissimilarity matrix (Cargnelutti-Filho et al, 2010).…”

Section: Methodsmentioning

confidence: 99%

Genetic divergence of common bean cultivars

et al. 2015

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“…The consistency of the phytochemistry divergence based on the distances was demonstrated by the Mantel test (Mantel, 1967; Smouse, Long, & Sokal, 1986). A dendrogram (Figure 2) with high reliability is shown by a cophenetic correlation of 0.8236 (Cargnelutti Filho et al., 2010), and high consistent correlation (Rohlf & Fisher, 1968; Sokal & Rohlf, 1962). Phytochemical divergence found among the guarana genotypes can be observed in the dendrogram, after the most similar genotypes, based on nine agro‐industrial characters, were clustered into two groups (I and II) and subgroups (Ia, Ib, and IIa), (Figure 2).…”

Section: Resultsmentioning

confidence: 99%

“…Genetic divergence was based on the average Euclidean distances between pairs of the eight guarana plant genotypes for all characters. The dendrogram was constructed on the basis of the dissimilarity matrix (Supplemental Table S1) by the unweighted pair‐group average (UPGMA) method, considering the consistency of the dendrogram by the Mantel test (Mantel, 1967), cophenetic correlation (Cargnelutti Filho, Ribeiro, & Burin, 2010; Supplemental Figure S1), and cut‐off point (Mojena, 1977).…”

Section: Methodsmentioning

confidence: 99%

Phytochemistry divergence among guarana genotypes as a function of agro‐industrial characters

et al. 2020

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Guarana [Paullinia cupana var. sorbilis (Mart.) Ducke] is a typical South American plant, native to the Amazon, with subspontaneous occurrence in Maués, Amazonas, Brazil, where it was domesticated and cultivated by the Sateré‐Mawé indigenous community. Guarana is an original Brazilian product with great economic and industrial potential owing to the energetic, antioxidant, and medicinal properties of its seeds. In spite of its importance, there is still a gap in knowledge about genetic diversity and adaptations that might improve agro‐industrial uses of guarana seeds. This study was aimed at estimating phytochemical diversity, classification, and typology of guarana genotypes. Agro‐industrial potential among eight genotypes was estimated based on phytochemical characters (theobromine, caffeine, catechin, and epicatechin content, quantified by high performance liquid chromatography) and yield in three locations from harvests between 2015 and 2016. Phytochemical divergence was assessed by the mean Euclidean distance. Grouping was performed by the unweighted pair‐group method using arithmetic averages. Metabolite content varied considerably between genotypes (e.g., among caffeine [3.23–7.35%], catechin [0.20–3.57%], and epicatechin [0.09–4.22%]), and dry seed yield was the character with the greatest variation (0.048–5.13 kg plant−1). The metabolic profile variations of the genotypes were clustered into three chemotypes: energetic and antioxidant guarana (genotypes CIR815, CIR904, and CMA498); antioxidant guarana (genotypes BRS‐Maués and CMU874); and energetic guarana (genotypes CMA831, CMU952, and BRS‐CG372). Genotypes CIR815, CIR904, and CMU874 have the potential to be future commercial cultivars, providing quality raw material for soft drinks, energy drinks, and pharmaceutical products.

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Consistência do padrão de agrupamento de cultivares de feijão conforme medidas de dissimilaridade e métodos de agrupamento

Cited by 21 publications

References 7 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

Genetic divergence of common bean cultivars

Phytochemistry divergence among guarana genotypes as a function of agro‐industrial characters

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