Genetic divergence among Psidium accessions based on biochemical and agronomic variables

Santos, C. A. F.; Corrêa, L. C.; Costa, S. R. da

doi:10.1590/s1984-70332011000200007

Cited by 24 publications

(15 citation statements)

References 18 publications

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“…In the dendrogram, the most similar accessions were Keitt mango (accession 19,20) and Banana mango (accession 1, 2). The most divergent were Keitt mango (accession 19) and Maçã mango (accession 14), different from those given by the Ward method.…”

Section: Resultsmentioning

confidence: 99%

“…There have been several works on the genetic diversity of mangos that particularly used molecular markers [17][18][19]. The evaluation of genetic diversity through morphological characteristics has also been widely employed in studies [8,20]. This methodology is quite efficient, as demonstrated by Ramessur et al, [16] who evaluated mango tree diversity through RAPD markers and morphological traits.…”

Section: Accessionsmentioning

confidence: 99%

See 1 more Smart Citation

Genetic Divergence in Mango and Obtaining Minimum Efficient Descriptors

Preisigke¹,

Campos²,

Souza³

et al. 2013

AJPS

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Mangifera indica (mango) is a typically tropical fruit with considerable economic value. Brazil features a wide variety of cultivars of this fruit, most of which are known under several different names. Indeed, the nomenclature of mango varieties is still quite confusing. Up to now there has been no well-defined scientific principle to differentiate them. The objective of the present work is to compare the different clustering methods in assessing genetic divergence among mango accessions, as well as identify the minimum efficient descriptors for that crop. A total of 20 mango accessions in Cáceres, Mato Grosso state, Brazil were evaluated. When building dissimilarity matrices, the descriptors were divided according to the following groups: leaf, flower/inflorescence, fruit, seed and growth habit/ripening period. With these divisions, combinations were performed among the groups of descriptors. The similarity index was used to obtain the dissimilarity matrices. Later, the accessions were clustered using the methods of Tocher, Ward and UPGMA. The study observed that it was possible to reduce the number of descriptors from 64 to 35, and that the clustering methods were compatible with the study of the genetic diversity of mango.

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Section: Resultsmentioning

confidence: 99%

Section: Accessionsmentioning

confidence: 99%

Genetic Divergence in Mango and Obtaining Minimum Efficient Descriptors

Preisigke¹,

Campos²,

Souza³

et al. 2013

AJPS

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show abstract

“…Use of Mahalanobis D 2 statistics to evaluate the net divergence in breeding for crop improvement has been indicated by number of workers in different fruit crops (Saran et al, 2007). The use of genetically divergent parents in hybridization under transgressive breeding programme is dependent upon categorization of breeding material on the basis of appropriate criteria (Santos et al, 2011). Apart from providing requisite assistance in selection of divergent parents in hybridization, D 2 statistics also adequately assists in the measurement of diversification and in the contribution of the relative proportion of each component trait towards the total genetic divergence.…”

Section: Issn: 2319-7706 Volume 7 Number 05 (2018)mentioning

confidence: 99%

D2 Statistic Techniques used for Analysis of Genetic Divergence among Litchi Hybrids

Kumari¹,

Mankar²,

Kumari³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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“…'Rica', 'Sassaoka', 'Pedro Sato', 'Cortibel' e 'Século XXI', que foram desenvolvidas a partir de seleções de produtores ou por instituições de pesquisa em pomares de sementes de polinização aberta (POMMER et al, 2006;SANTOS et al, 2011). Logo, a avaliação dessas populações segregantes obtidas de polinização aberta torna-se uma importante estratégia no que diz respeito à obtenção de cultivares e na indicação de combinações parentais que produzam progênies com o máximo de variabilidade genética, aumentando-se, assim, a oportunidade de obtenção de indivíduos superiores.…”

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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Genetic divergence among Psidium accessions based on biochemical and agronomic variables

Abstract: -Sixty-nine

Cited by 24 publications

References 18 publications

Genetic Divergence in Mango and Obtaining Minimum Efficient Descriptors

Genetic Divergence in Mango and Obtaining Minimum Efficient Descriptors

D2 Statistic Techniques used for Analysis of Genetic Divergence among Litchi Hybrids

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

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