Genetic diversity in soybean genotypes with resistance to Heterodera glycines

Matsuo, Éder; Sediyama, Tuneo; Cruz, Cosme Damião; Oliveira, Rosangela D'arc De Lima; Oliveira, Rita de Cássia Teixeira; Nogueira, Ana Paula Oliveira

doi:10.1590/s1984-70332011000400003

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…A utilização de técnicas multivariadas para estimar a divergência genética tem se tornado comum e é empregada em vários trabalhos e em diversas culturas, tais como feijão (Bonett et al, 2006), soja (Matsuo et al, 2011), cúrcuma (Sigrist et al, 2011), mandioca (Vieira et al, 2011), café (Ivoglo et al, 2008) e capim elefante (Shimoya et al, 2002).…”

Section: Introductionunclassified

Divergência genética entre cafeeiros do germoplasma Maragogipe

et al. 2013

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ResumoEste trabalho objetivou identificar a divergência genética entre acessos de cafeeiro do grupo Maragogipe, situados no Banco Ativo de Germoplasma de Café do Estado de Minas Gerais, no município de Patrocínio (MG), por meio de análises multivariadas. Foram avaliados 27 descritores morfo-agronômicos, e a distância generalizada de Mahalanobis foi usada para quantificar a divergência genética entre os acessos. Como estratégias de agrupamento, foram empregados o agrupamento de Tocher, o método hierárquico Unweighted Pair-Group Method Using Arithmetic Averages (UPGMA) e a análise de variáveis canônicas. A análise de agrupamento pelos métodos de Tocher e UPGMA separaram os acessos em três e seis grupos, respectivamente. A análise da contribuição relativa de cada característica para a dissimilaridade genética destacou as características intensidade da ondulação da folha, quantidade de inflorescência por axila foliar e produtividade média como as que mais contribuíram para a obtenção da divergência genética. Observou-se que as três primeiras variáveis canônicas explicaram mais de 90% da variância total contida no conjunto das características analisadas. A combinação entre os acessos MG0167 e MG0170 é a mais promissora em um possível cruzamento para uso imediato em programas de melhoramento.Palavras-chave: Coffea arabica, análise multivariada, melhoramento genético. Genetic divergence between coffee trees of the Maragogipe germplasm AbstractThis study aimed to identify the genetic divergence among coffee trees of the Maragogipe group in the active germplasm coffee bank in Patrocínio, Minas Gerais, Brazil, using multivariate analyzes. In the study, 27 morpho-agronomical descriptors were assessed. Mahalanobis generalized distance was applied to quantify the genetic divergence among genotypes. The following methods were used: Tocher clustering, Unweighted Pair-Group Method Using Arithmetic Averages (UPGMA) hierarchical clustering and the canonical variables analysis. The cluster analysis by Tocher method and the UPGMA separated the accessions into three and six groups, respectively. The analysis of the relative contribution of each characteristic to the genetic dissimilarity highlighted the intensity of curling leaf, inflorescence number per leaf axil and average yield as those that contributed most to the achievement of genetic divergence. It was observed that the first three canonical variables explained more than 90% of the total variance contained in the set of the analyzed characteristics. The combination between MG0167 and MG0170 accessions is the most promising for a possible crossing for immediate use in breeding programs.

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Section: Introductionunclassified

Divergência genética entre cafeeiros do germoplasma Maragogipe

et al. 2013

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“…Meridionalis / Phomopsis phaseoli f. sp. Meridionalis) and cyst nematode (Heterodera glycines), and frequent breakage of resistance to diseases that are commonly present in crops (Brito et al 1999, Diogo et al 2000, Schuster et al 2001, Carvalho et al 2002, Martins Filho et al 2002, Cervigni et al 2004, Gravina et al 2004, Freire et al 2008, Matsuo et al 2011). …”

Section: Soybeanmentioning

confidence: 99%

Contribution of the universities to the development of field crop cultivars

Sediyama

Carneiro

Fritsche‐Neto

et al. 2012

Crop Breed. Appl. Biotechnol.

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“…They are based on hierarchical methods and it is up to the researcher to choose the one that best fits to the set of data. Nowadays, many studies of genetic diversity have been conducted in soybean, and in most of them the UPGMA method is used (MATSUO et al, 2011;MIRANDA et al, 2007;PRIOLLI et al, 2010;SANTOS et al, 2013;SINGH et al, 2010;VAL et al, 2014;YAMANAKA et al, 2007). In this way, there is a lack of studies about concordance pattern of genotype grouping when distance measures and different grouping methods are adopted.…”

Section: Introductionmentioning

confidence: 99%

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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Genetic diversity in soybean genotypes with resistance to Heterodera glycines

Cited by 7 publications

References 15 publications

Divergência genética entre cafeeiros do germoplasma Maragogipe

Divergência genética entre cafeeiros do germoplasma Maragogipe

Contribution of the universities to the development of field crop cultivars

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

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