Heirloom tomato gene bank: assessing genetic divergence based on morphological, agronomic and molecular data using a Ward-modified location model

Gonçalves, Leandro Simões Azeredo; Rodrigues, Rosana; Amaral, Antônio Teixeira do; Karasawa, Mina; Sudré, Cláudia Pombo

doi:10.4238/vol8-1gmr549

Cited by 84 publications

(83 citation statements)

References 23 publications

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“…Determining genetic diversity can be based on agronomic, morphological, biochemical, and molecular types of information, among others (Goncalves et al, 2009). Molecular characterization is frequently used by maize breeders as an alternative method for selecting more promising genotypes and reducing the cost and time needed to develop hybrid combinations (Garcia et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

GENETIC DIVERSITY ANALYSIS OF MAIZE (ZEA MAYS L.) USING SCoT MARKERS

Vivodík¹,

Balážová²,

Gálová³

et al. 2017

J microb biotech food sci

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Molecular characterization is frequently used by maize breeders as an alternative method for selecting more promising genotypes and reducing the cost and time needed to develop hybrid combinations. In the present investigation 20 genotypes of maize from Czechoslovakia, Hungary, Poland, Union of Soviet Socialist Republics, Slovakia and Yugoslavia were analysed using 5 Start codon targeted (SCoT) markers. These primers produced total 29 fragments across 20 maize genotypes, of which 22 (77.90 %) were polymorphic with an average of 4.40 polymorphic fragments per primer and number of amplified fragments ranged from 4 (SCoT 8) to 7 (SCoT 12 and SCoT 23). The polymorphic information content (PIC) value ranged from 0.652 (ScoT 8) to 0.816 (SCoT 23) with an average of 0.738. The dendrogram of 20 maize genotypes based on SCoT markers using UGMA algorithm was constructed. The hierarchical cluster analysis divided maize genotypes into two main clusters. Unique 2 maize genotype Slovenska žltá and Slovenska krajová velkozrná, originated from Slovak Republic, separated from others. Cluster 2 containing 18 genotypes was divided into two main subclusters. Subcluster 2a contained two Poland genotypes Przebedowska Burskynowa and Zloty Zar, two genotypes of Union of Soviet Socialist Republics- Partizanka and Krasnodarskaja and one Czechoslovakian genotypes Milada. In subcluster 2b were grouped 13 maize genotypes. The present study shows effectiveness of employing SCoT markers in analysis of maize, and would be useful for further studies in population genetics, conservation genetics and genotypes improvement.

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Section: Introductionmentioning

confidence: 99%

GENETIC DIVERSITY ANALYSIS OF MAIZE (ZEA MAYS L.) USING SCoT MARKERS

Vivodík¹,

Balážová²,

Gálová³

et al. 2017

J microb biotech food sci

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“…According to Gonçalves et al (2009), the logarithmic function of probability precisely defines the number of groups, resulting in less subjective groupings. Different studies have demonstrated that the number of groups can vary greatly depending on the species, the number of accessions, and the type/quantity of variables evaluated (Ortiz et al, 2008;Gonçalves et al, 2009;Barbé et al, 2010;Cabral et al, 2010).…”

Section: Resultsmentioning

confidence: 99%

“…Different studies have demonstrated that the number of groups can vary greatly depending on the species, the number of accessions, and the type/quantity of variables evaluated (Ortiz et al, 2008;Gonçalves et al, 2009;Barbé et al, 2010;Cabral et al, 2010).…”

Section: Resultsmentioning

confidence: 99%

Genetic diversity in sugarcane varieties in Brazil based on the Ward-Modified Location Model clustering strategy

Brasileiro¹,

Marinho²,

Costa³

et al. 2014

Genet. Mol. Res.

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“…Segundo Gonçalves et al (2009) Os oito grupos formados foram constituídos por 36;17;3;13; 25; 22; 16 e 6 acessos (Tabela 1). Para característica coloração da polpa do fruto, os dez acessos que apresentaram coloração branca ficaram alocados nos grupos I, II, IV, V e VIII, enquanto a coloração rosa foi amplamente distribuída em todos os grupos.…”

Section: Resultsunclassified

“…Diversos trabalhos vêm sendo desenvolvidos, utilizando tal procedimento, como, por exemplo, com milho (GUTIÉRREZ et al, 2003;FRANCO et al, 2005;ORTIZ et al, 2008), nabo-forrageiro (PADILHA et al, 2005), tomate (GONÇALVES et al, 2009), feijão (BARBÉ et al, 2010CABRAL et al, 2010), pimenta/pimentão (SUDRÉ et al, 2010) e banana (PESTANA et al, 2011).…”

Section: Introductionunclassified

Quantificação da divergência genética entre acessos de goibeira por meio da estratégia Ward-MLM

Campos¹,

Viana²,

Quintal³

et al. 2013

Rev. Bras. Frutic.

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RESUMO-O presente trabalho teve como objetivo quantificar a divergência genética entre 138 acessos de goiabeira procedentes do banco de germoplasma da Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF), com base em descritores morfológicos, agronômicos e físico-químicos, por meio do procedimento Ward -Modified Location Model (MLM). Para tanto, foram avaliados 13 descritores, sendo cinco qualitativos (coloração da polpa, superfície do fruto, formato do fruto ao final do pedúnculo, largura do pescoço e uniformidade da cor da polpa) e oito quantitativos (massa média do fruto, diâmetro longitudinal do fruto, diâmetro transversal do fruto, rendimento da polpa, teor de sólidos solúveis totais, acidez do fruto, relação teor de sólidos solúveis totais e acidez do fruto e teor de ácido ascórbico). Detectou-se ampla variabilidade genética pelos dados morfológicos, agronômicos e físico-químicos nos 138 acessos de goiaba. Pelo procedimento da função da verossimilhança, determinou-se oito o número ideal de grupos, com um valor de incremento de 67,51. O grupo III foi considerado o mais distante, enquanto os grupos I, II, IV, V e VI, os mais próximos. O procedimento Ward-MLM é uma ferramenta útil para detectar divergência genética e agrupar os acessos utilizando, simultaneamente, variáveis qualitativas e quantitativas. Termos para indexação: Psidium guajava L., variabilidade genética, análise conjunta, caracterização do germoplasma. QUANTIFICATION OF THE GENETIC DIVERGENCE AMONG GUAVA ACCESSIONS USING WARDMLM STRATEGYABSTRACT-The present study aimed at evaluating the genetic divergence among 138 guava accessions coming from the Germplasm Collection of the Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF) based on morphological, agronomic and physic-chemical traits by Ward -Modified Location Model (MLM). Thirteen descriptors were evaluated, five qualitative (flesh color, fruit surface, shape at stalk end , neck width and uniformity of the flesh color) and eight quantitative (fruit weight, fruit diameter, fruit length, pulp revenue, soluble solids contents, total titratable acidity, total soluble solids/total titratable acidity ratio and ascorbic acid). High genetic variability was detected considering morphological, agronomic and physicchemical traits in the 138 guava accessions studied. The procedure of the likelihood function showed that the ideal numbers of groups was eight, with an increment value of 67.51. Group III was considered the most distant, while groups I, II, IV, V and VI the closest. The Ward-MLM procedure is a useful tool for detecting genetic divergence and cluster accessions using both qualitative and quantitative variables.

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Heirloom tomato gene bank: assessing genetic divergence based on morphological, agronomic and molecular data using a Ward-modified location model

Cited by 84 publications

References 23 publications

GENETIC DIVERSITY ANALYSIS OF MAIZE (ZEA MAYS L.) USING SCoT MARKERS

GENETIC DIVERSITY ANALYSIS OF MAIZE (ZEA MAYS L.) USING SCoT MARKERS

Genetic diversity in sugarcane varieties in Brazil based on the Ward-Modified Location Model clustering strategy

Quantificação da divergência genética entre acessos de goibeira por meio da estratégia Ward-MLM

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