scholarly journals Genetic divergence among white-type acai palm accessions based on morpho-agronomic characters

2017 ◽  
Vol 52 (9) ◽  
pp. 751-760 ◽  
Author(s):  
Angela Maria de Sousa ◽  
Maria do Socorro Padilha de Oliveira ◽  
João Tomé de Farias Neto
Keyword(s):  
Genetic Divergence ◽  
Euclidean Distance ◽  
Multivariate Analyses ◽  
Arithmetic Mean ◽  
Group Method ◽  
Agronomic Characters ◽  
Germplasm Bank ◽  
Pair Group ◽  
White Type ◽  
Selection Of

Abstract: The objective of this work was to quantify the genetic divergence among accessions of white-type acai palm, through morpho-agronomic characters. The accessions belong to the active acai palm germplasm bank of Embrapa Amazônia Oriental. Thirteen characters were evaluated in 26 accessions, originated from six municipalities in the state of Pará, Brazil. The data were subjected to deviance and multivariate analyses, based on the average Euclidean distance, and were grouped by Tocher’s method and the unweighted pair group method with arithmetic mean (UPGMA). The accessions differed for eight characters. The distances among accessions ranged from 0.64 to 2.62, with an average of 1.36, and four groups were formed by Tocher’s method and two by the UPGMA. Seven major components explained 88.03% of the variation, whose graphic dispersion showed the tendency of forming four groups. The characters weight of 100 fruits, number of rachillae per bunch, and fruit yield per bunch contributed the most to the divergence, and the accessions from the municipalities of Breves, Curralinho, and Limoeiro do Ajuru were the most divergent. Therefore, the accessions of white acai palm show strong divergence and variability, which favor the selection of desirable individuals.

Genetic diversity among INERA-Mulungu (DR Congo) Musa spp. germplasm and their relatedness to those in Tanzania using numerical taxonomy

2012 ◽  
Vol 11 (1) ◽  
pp. 50-61 ◽  
Author(s):  
D. B. Nzawele ◽  
C. L. Rweyemamu ◽  
A. P. Maerere
Keyword(s):  
Democratic Republic ◽  
Multivariate Analyses ◽  
Democratic Republic Of Congo ◽  
Arithmetic Mean ◽  
Group Method ◽  
Similarity Coefficients ◽  
Dr Congo ◽  
Pair Group ◽  
Data Points ◽  
Southern Highland

Bananas and plantains (Musa spp.) constitute staple food for over 20 million people in Democratic Republic of Congo (DRC). Since 1960, DRC is considered as a secondary centre of plantain diversification with few unknown accessions kept in the INERA-Mulungu genebank. Through similarity coefficients, cluster (unweighted pair group method with arithmetic mean, single, complete, sequential, agglomerative, hierarchical and nested design/clustering procedure) and/or multivariate analyses, numerical morpho-taxonomy has established that this diversity is composed of 37 different accessions. Each accession expressed 98 characters among the 401 possible character states, thus providing 39,298 feature patterns (data points). The 98 characters included 32 vegetative and 66 male and female inflorescences. The accessions were clustered into three genomic groups (AAA, AAB and AABB). Subjective classification ascertained nine subgroups: AAB-Silk, AAB-Pome, AAB-Plantain, AABB-Pisang Awak, AAA-Cavendish, AAA-Ibota, AAA-Gros Michel, AAA-Green-Red and AAA-Lujugira-Mutika. Three subgroups were further divided into nine clone sets which consisted of: Dwarf and Giant Cavendish, French and Horn Plantains, and Musakala, Nfuuka, Nakitembe, Nakabululu and Beer/Mbidde within Lujugira-Mutika. Numerical morpho-taxonomy effectively indicated a relationship between the DRC and Tanzania's Musa diversity. For example, the accessions ‘Kamaramasengi’ and ‘Isangi’ were found to be similar to ‘Kisukari’ (AAB-Silk) and ‘Ngego I’ (AAB-French) common in the Tanzanian Southern Highland. Likewise, the accessions Kimalindi-fupi, Kimalindi-ndefu and Jamaica of Tanzania were duplicates of Bakurura (Kigurube), Cavendish of Butuza and Gros Michel in DRC, respectively. Moreover, numerical morpho-taxonomy confirmed the pedigree of AAB-Prata (Cibwalo) in FHIA 17 and FHIA 23 and the closeness of the ancestors of Yangambi Km5 and Gros Michel. Furthermore, numerical morpho-taxonomy established AA-Mshale malembo as one of the AAA-Lujugira-Mutika parents. Molecular investigations are finally required to confirm the genomes.

scholarly journals Caracterização da diversidade genética de acessos de ave-do-paraíso

2018 ◽  
Vol 24 (1) ◽  
pp. 50-57
Author(s):  
Alessandro Aparecido Brito Dos Santos ◽  
Valdete Campos Ambrosio ◽  
Marco Antonio Aparecido Barelli ◽  
Thallita Santos Guimarães ◽  
Petterson Baptista Da Luz
Keyword(s):  
Hierarchical Clustering ◽  
Genetic Divergence ◽  
Euclidean Distance ◽  
Principal Component ◽  
Group Method ◽  
Clustering Method ◽  
Dissimilarity Matrix ◽  
Mato Grosso ◽  
Pair Group ◽  
Strelitzia Reginae

This study aimed to characterize genetic diversity in the bird-of-paradise (Strelitzia reginae) collection at the Universidade do Estado de Mato Grosso Carlos Alberto Reyes Maldonado (UNEMAT) by estimating genetic divergence among genotypes based on agronomic characteristics. Seven agronomic characters were evaluated with average Euclidean distance. The UPGMA (Unweighted Pair Group Method with Arithmetic Mean) hierarchical clustering method was used between groups, as well as Tocher’s optimization clustering method and principal component analysis (PCA), in order to classify the genotypes with maximum similarity between groups. Measures of genetic dissimilarity with average Euclidean distance verified the existence of genetic variability among accessions since the amplitude of dissimilarity values ranged from 1.09 to 36.97. Tocher’s clustering method verified the formation of two distinct groups. UPGMA hierarchical clustering, based on the dissimilarity matrix, verified the formation of three groups with 30% cutoff point. Based on the main components analysis, we verified genetic divergence between the bird-of-paradise accessions in the UNEMAT Collection. The most promising combinations for future crosses in breeding programs comprise accessions 1, 11, and 23 and accession 1 as the most divergent among the accessions evaluated.

scholarly journals Null expectation of spatial correlograms under a stochastic process of genetic divergence with small sample sizes

2000 ◽  
Vol 23 (4) ◽  
pp. 739-743 ◽  
Author(s):  
Mariana Pires de Campos Telles ◽  
José Alexandre Felizola Diniz-Filho
Keyword(s):  
Stochastic Process ◽  
Genetic Divergence ◽  
Isolation By Distance ◽  
Genetic Distances ◽  
Small Sample ◽  
Group Method ◽  
Gene Frequencies ◽  
Exponential Relationship ◽  
Local Populations ◽  
Pair Group

An Ornstein-Uhlenbeck process was used to simulate the exponential relationship between genetic divergence and geographic distances, as predicted by stochastic processes of population differentiation, such as isolation-by-distance, stepping-stone or coalescence models. These simulations were based only on the spatial coordinates of the local populations that defined a spatial unweighted pair-group method using arithmetic averages (UPGMA) link among them. The simulated gene frequency surfaces were then analyzed using spatial autocorrelation procedures and Nei's genetic distances, constructed with different numbers of variables (gene frequencies). Stochastic divergence in space produced strong spatial patterns at univariate and mutivariate levels. Using a relatively small number of local populations, the correlogram profiles varied considerably, with Manhattan distances greater than those defined by other simulation studies. This method allows one to establish a range of correlogram profiles under the same stochastic process of spatial divergence, thereby avoiding the use of unnecessary explanations of genetic divergence based on other microevolutionary processes.

scholarly journals Partial diallel and genetic divergence analyses in maize inbred lines

2020 ◽  
Vol 43 ◽  
pp. e53540
Author(s):  
Maria Fernanda de Souza Dias Maioli ◽  
Ronald José Barth Pinto ◽  
Tereza Aparecida da Silva ◽  
Diego Ary Rizzardi ◽  
Robson Akira Matsuzaki ◽  
...  
Keyword(s):  
Grain Yield ◽  
Genetic Divergence ◽  
Block Design ◽  
Inbred Lines ◽  
Group Method ◽  
Arithmetic Average ◽  
Pair Group ◽  
Maize Inbred Lines ◽  
Randomized Block Design ◽  
Partial Diallel

In this study, we aimed to estimate general and specific combining abilities (GCA and SCA, respectively) and to verify genetic divergence (Rogers distance, Unweighted Pair-Group Method Using Arithmetic Average - UPGMA) using microsatellite markers in maize inbred lines. Using a partial diallel scheme, a total of 19 inbred lines were crossed as (9 x 10), which were derived from the single hybrids SG6015 and P30F53, respectively. The 90 hybrids were evaluated in an incomplete randomized block design with common checks and three replications during the 2017-2018 growing season. Flowering time, average plant height, ear height insertion, average ear diameter, ear length, number of lodged and broken plants, mass of 100 grains and grain yield were measured. According to the analysis of variance, GCA, and SCA were significant (p < 0.05) in all the measured traits; inbred line B as well as 1 and 8, derived from the single hybrids SG6015 and P30F53, respectively, were selected due to their higher GCA values in grain yield to be used in crosses as testers, while the single cross hybrid (B x 1) was selected due to their higher SCA value in grain yield to be used in future breeding programs. The molecular marker analysis divided the inbred lines into two groups, where the highest dissimilarity (0.74) was observed between lines A and 9; however, these did not result in a high SCA value, therefore the hybrids obtained by such crossings were not selected for grain yield.

scholarly journals Caracterização Biométrica dos Caprinos da República de Cabo Verde

2019 ◽  
Vol 68 (263) ◽  
pp. 384-394
Author(s):  
L.C. Pires ◽  
T.M. Machado ◽  
J. de D. Fonseca ◽  
J.F. Fonseca ◽  
E. Pile ◽  
...  
Keyword(s):  
Arithmetic Mean ◽  
Group Method ◽  
Cabo Verde ◽  
Pair Group ◽  
Unweighted Pair Group Method

Objetivou-se discernir populações caprinas de cinco ilhas da República de Cabo Verde (n=533) por meio de dados biométricos e análises estatísticas. Foram avaliadas 16 características de fêmeas adultas, através da estatística descritiva simples, análise de variância, teste de multicolinearidade, distância generalizada de Mahalanobis (D²) e algoritmo UPGMA (Unweighted Pair Group Method Arithmetic Mean). Após o teste de multicolinearidade foi identificada e descartada a variável profundidade torácica. As D² foram calculadas com base nas 15 medidas biométricas. O maior valor da D² foi entre as populações das ilhas do Fogo e São Nicolau (22,73), e a menor D² foi entre Santo Antão e São Vicente (3,71). O dendrograma a partir de 15 variáveis em cinco populações colocou as cabras da ilha de Fogo em ramo a parte das demais. Agruparam-se num ramo as cabras das ilhas de Santo Antão e São Vicente. Este resultado está de acordo com a distância geográfica entre as ilhas de Cabo Verde e o histórico recente de intercâmbio de animais entre elas.

scholarly journals Song Structure and Microgeographic Song Variation in Wedge-Tailed Sabrewings (Campylopterus Curvipennis) in Veracruz, Mexico

The Auk ◽  
2005 ◽  
Vol 122 (2) ◽  
pp. 593-607 ◽  
Author(s):  
Clementina González ◽  
Juan Francisco Ornelas
Keyword(s):  
Geographic Region ◽  
Arithmetic Mean ◽  
Floral Resources ◽  
Group Method ◽  
Complex Signals ◽  
Document Structure ◽  
Song Variation ◽  
Pair Group ◽  
Well Differentiated ◽  
Acoustic Variation

AbstractWe studied the songs of Wedge-tailed Sabrewings (Campylopterus curvipennis) in six localities from central Veracruz, Mexico, to document structure and variation within and between singing groups in the same geographic region. Wedgetailed Sabrewing songs were acoustically, structurally, and behaviorally complex, rivaling those of other taxa with complex signals. Songs of individual birds were composed of >45 well-differentiated and structurally complex syllables. We found 239 different syllable types across eight recorded singing groups of Wedge-tailed Sabrewings (∼20 syllable types per singing group), with the greatest versatility recorded in hummingbirds to date. The acoustic variation (15 variables) was summarized in three principal components (58% of acoustic variation), in which intragroup variability accounted for most of the observed variation. We found significant differences between and within groups in terms of syllable sharing (Jaccard’s similarity coefficient). Individuals generally shared >50% of syllable types within groups, whereas syllable sharing was <10% between individuals from different groups. The same microgeographic pattern was supported in a UPGMA (unweighted pair-group method with arithmetic mean) analysis where individual songs from each singing group clustered separately. However, songs recorded at the same location differed between seasons, which suggests that this species does not exhibit geographically distinct dialects that are consistent across time. The interplay among this species’ social system, distribution of its floral resources, and microgeographic and temporal variation of its song requires further research.

scholarly journals Agronomic potential and selection of okra hybrids to obtain potential genitors

2018 ◽  
Vol 36 (1) ◽  
pp. 112-117 ◽  
Author(s):  
Gabriel M Maciel ◽  
Rafael R Finzi ◽  
Alexandre William C Marra ◽  
Fábio J Carvalho ◽  
Ana Paula O Nogueira
Keyword(s):  
Genetic Divergence ◽  
Canonical Analysis ◽  
Index Number ◽  
Clustering Methods ◽  
Germplasm Bank ◽  
Breeding Programs ◽  
Agronomic Potential ◽  
Per Se ◽  
Fruit Mass ◽  
Selection Of

ABSTRACT Evaluation of pre-commercial hybrids in a germplasm bank is essential for determining its commercial potential or its utility as a potential genitor in a breeding program. The objective of this study was to determine genetic divergence and per se behavior of 47 pre-commercial hybrids from okra germplasm bank of the Universidade Federal de Uberlândia. Precocity index (%), number of fruits (fruits per plant), average fruit mass (g) and productivity (g per plant) were evaluated. Analysis of genetic divergence was performed by multivariate analysis using Mahalanobis distance with different clustering methods (UPGMA and canonical analysis). The performance of hybrids was compared by Scott-Knott (p= 0.05). A significant genetic variability among okra hybrids was observed. UPGMA and canonical analysis grouped the hybrids similarly, being satisfactory to represent genetic divergence. Ten hybrids presented higher performance than the commercial hybrids. Among them, UFU-QB16 stood out as the most promising hybrid for being used as a potential parent in breeding programs after auto pollination.

scholarly journals Patterns of prey selection of Trypoxylon (Trypargilum) lactitarse Saussure (Hymenoptera: Crabronidae) in southern Brazil

2008 ◽  
Vol 68 (3) ◽  
pp. 519-528 ◽  
Author(s):  
MLT. Buschini ◽  
NA. Borba ◽  
AD. Brescovit
Keyword(s):  
Prey Selection ◽  
Species Abundance ◽  
Abundant Species ◽  
Group Method ◽  
Southern Brazil ◽  
Araucaria Forest ◽  
Pair Group ◽  
Trap Nests ◽  
Different Diameters ◽  
Selection Of

This study was carried out in the Parque Municipal das Araucárias, in the municipality of Guarapuava, southern Brazil. A total of 449 T. lactitarse nests were collected using trap-nests of different diameters. Fifty three species of spiders belonging to 7 families were captured by T. lactitarse. Araneidae was the most captured family and has been strongly represented by the genus Eustala. Through Bray-Curtis's coefficient and the unweighted pair group method average (UPGMA), the spiders species can be divided into 3 groups: the smaller group includes the most abundant species (Eustala sp1, Eustala sp2, Acacesia villalobosi, Alpaida sp1 and Araneus corporosus), the second group includes species with intermediate abundance (Wagneriana iguape, Araneus omnicolor, Eustala sp4, Alpaida grayi, Eustala sp3, Larinia t-notata, Mangora sp1 and Wagneriana iguape), and the third and largest group includes the least abundant species (Aysha gr. brevimana 1, Eustala sp5, Wagneriana eupalaestra, Alpaida scriba, Alpaida veniliae, Araneus aff. omnicolor, Araneus sicki, Eustala sp8, Mangora sp2, Mangora sp3, Wagneriana juquia, Alpaida sp2, Araneus blumenau, Eustala sp6, Eustala sp7 and Ocrepeira galianoae). Of 2,029 identified spiders, 1,171 were captured in the Araucaria forest, 612 in grassland areas and 246 in the swamp. Grassland and swamp areas evidenced greater similarity between them than to the Araucaria Forest, regarding presence-absence of spider species in T. lactitarse's diet, as well as regarding species abundance in these habitats. The juvenile number (56%) was significantly higher than the female (38%) and male (6%) percentages.

scholarly journals Assessment of Genetic Diversity in Cultivated Tomato (Solanum Lycopersicum L.) Genotypes Using Rapd Primers

2013 ◽  
Vol 21 (1) ◽  
pp. 83-89 ◽  
Author(s):  
Saida Sharifova ◽  
Sabina Mehdiyeva ◽  
Konstantinos Theodorikas ◽  
Konstantinos Roubos
Keyword(s):  
Genetic Diversity ◽  
Rapd Analysis ◽  
Diversity Index ◽  
Random Amplified Polymorphic Dna ◽  
Arithmetic Mean ◽  
Similarity Coefficient ◽  
Group Method ◽  
Solanum Lycopersicum L ◽  
Pair Group ◽  
Upgma Cluster Analysis

Abstract Random Amplified Polymorphic DNA (RAPD) analysis was carried out on 19 Azerbaijan tomato genotypes, both cultivars and local populations. A total of 26 amplified products were revealed by 6 primers. The genetic similarity among evaluated genotypes ranged from 0.188 to 1.000. The lowest similarity was observed between cultivars ‘Azerbaijan’ and ‘Shakar’ (0.188), while the highest between ‘Elnur’ and ‘Garatag’ (1.000). The Unweighted Pair Group Method with Arithmetic Mean (UPGMA) cluster analysis based on Jaccard’s similarity coefficient divided genotypes into four main groups. The first group was the largest and consisted of 12 genotypes, while the fourth group was the smallest consisted of 1 genotype only. The most polymorphic primer was OPB-18 that presented a genetic diversity index of 0.823, while the least informative was primer OPG-17 with an index of 0.349. The average genetic diversity calculated from RAPD data was 0.665.

scholarly journals A comparison of clustering methods for biogeography with fossil datasets

2016 ◽  
Author(s):  
Matthew J Vavrek
Keyword(s):  
Euclidean Distance ◽  
Group Method ◽  
Neighbor Joining ◽  
Clustering Methods ◽  
Data Set ◽  
Biogeographic Patterns ◽  
Pair Group ◽  
Linkage Methods ◽  
Average Similarity ◽  
Incomplete Datasets

Cluster analysis is one of the most commonly used methods in palaeoecological studies, particularly in studies investigating biogeographic patterns. Although a number of different clustering methods are widely used, the approach and underlying assumptions of many of these methods are quite different. For example, methods may be hierarchical or non-hierarchical in their approaches, and may use Euclidean distance or non-Euclidean indices to cluster the data. In order to assess the effectiveness of the different clustering methods as compared to one another, a simulation was designed that could assess each method over a range of both cluster distinctiveness and sampling intensity. Additionally, a non-hierarchical, non-Euclidean, iterative clustering method implemented in the R Statistical Language is described. This method, Non-Euclidean Relational Clustering (NERC), creates distinct clusters by dividing the data set in order to maximize the average similarity within each cluster, identifying clusters in which each data point is on average more similar to those within its own group than to those in any other group. While all the methods performed well with clearly differentiated and well-sampled datasets, when data are less than ideal the linkage methods perform poorly compared to non-Euclidean based k-means and the NERC method. Based on this analysis, Unweighted Pair Group Method with Arithmetic Mean and neighbor joining methods are less reliable with incomplete datasets like those found in palaeobiological analyses, and the k-means and NERC methods should be used in their place.

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