Genetic diversity and population structure of vegetable soybean (Glycine max (L.) Merr.) in China as revealed by SSR markers

Dong, Dekun; Fu, Xujun; Yuan, Fengjie; Chen, Pengyin; Zhu, Shenlong; Li, Bai-Quan; Yang, Qinghua; Yu, Xiaomin; Zhu, Derui

doi:10.1007/s10722-013-0024-y

Cited by 49 publications

(51 citation statements)

References 29 publications

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“…The efficiency of utilization of SSR markers in studies of genetic diversity has been confirmed thanks to their co-dominant and multi-allelic nature (Dong et al, 2013;Hou et al, 2011;Priolli et al, 2002). In this study, genotyping of 191 Brazilian soybean accessions with SSR markers allowed for the assessment of the population structure.…”

Section: Discussionmentioning

confidence: 77%

“…This variability could be explored in soybean breeding programs. The SSR loci with both more than five alleles and Polymorphism index content (PIC) value over 0.6 would be worthy for genetic structure analysis and marker assisted selection (MAS) (Dong et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

“…Brazilian accessions and ST group genotypes were selected for disease resistance and yield, while group N consisted in cultivars with high protein content in grains, developed mainly for human consumption. Crossing of germplasm from different groups is highly recommended (Dong et al, 2013). In addition, exchanges of gene pools could be useful for increasing genetic variability in soybean breeding (Wysmierski and Vello, 2013), being particularly relevant for the Brazilian germplasm, due to its narrow genetic basis.…”

Section: Discussionmentioning

confidence: 99%

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Genetic structure and diversity of a soybean germplasm considering biological nitrogen fixation and protein content

Grunvald¹,

Martins²,

Santos³

et al. 2015

Sci. agric. (Piracicaba, Braz.)

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Biological nitrogen fixation (BNF) has global economic and environmental importance, but has often not been considered in soybean [Glycine max (L.) Merrill] breeding programs. Knowing the genetic diversity and structure of a population within a germoplasm represent a key step for breeding programs. This study aimed at determining the structure of the population and diversity of soybean with regard to BNF and protein content in grain. In total, There is variability for BNF and protein content amongst both modern germoplasms cultivated in Brazil and ancestral lines. This variability could be better explored in soybean breeding programs to improve these traits.

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Section: Discussionmentioning

confidence: 77%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Genetic structure and diversity of a soybean germplasm considering biological nitrogen fixation and protein content

Grunvald¹,

Martins²,

Santos³

et al. 2015

Sci. agric. (Piracicaba, Braz.)

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“…The genetic diversity indices estimated in this study can be considered low when compared to results previously described for this species. In 100 vegetable soybean cultivars, Dong et al (2014) analyzed the genetic diversity and reported a mean Nei index of 0.6286. In an analysis of the genetic diversity of 10 landrace populations in China, Wang et al (2014) found a Shannon-Weaver index of 2.038.…”

Section: Resultsmentioning

confidence: 99%

Genetic diversity in Brazilian soybean germplasm

Gwinner

Setotaw

Pasqual

et al. 2017

Crop Breed. Appl. Biotechnol.

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“…A mesma metodologia foi utilizada em outros trabalhos com cultivares elite e acessos de germoplasma de soja. Nesses trabalhos, os autores relatam intervalos de valores de distância genética de 0,19 a 0,96 (Mulato et al, 2010) e de 0 a 0,94 (Dong et al, 2014). As estimativas de distância nos Grupos 1 e 2 têm, portanto, valores de variação próximos aos da maioria dos intervalos citados, embora as distâncias genéticas não possam ser diretamente comparadas, em razão da variação dos índices.…”

Section: Resultsunclassified

Divergência em QTLs e variância genética para teores de proteína e óleo em soja

Rodrigues

Arruda

Cruz

et al. 2015

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi avaliar a relação entre os parâmetros de divergência em regiões de QTLs e a variância genética em genótipos de soja, quanto aos teores de proteína e óleo nos grãos. Dois grupos de genótipos foram avaliados, em diferentes ambientes, quanto aos teores de proteína e óleo e genotipados com marcadores moleculares de regiões de QTLs. A partir de cada grupo, estabeleceram-se subgrupos por critérios pré-definidos e avaliou-se a relação entre os parâmetros, tendo-se comparado a divergência média e a variância genética entre os subgrupos. Os subgrupos foram definidos com base nos critérios de diferença em divergência média, homogeneidade e heterogeneidade nos subgrupos e proximidade em uma projeção tridimensional da matriz de distância. As percentagens de concordância entre maiores valores de divergência média e de variância genética para o total de subgrupos de cada grupo inicial foram de 72,5 e de 73,4%, respectivamente. Portanto, nestes genótipos, há relação positiva entre as estimativas de divergência em regiões de QTL e variância genética para os teores de proteína e de óleo dos grãos. As distâncias genéticas com base nos marcadores moleculares de regiões de QTLs são eficientes para a predição da variabilidade genética em genótipos de soja para os teores de proteína e de óleo dos grãos.Termos para indexação: Glycine max, distância genética, marcadores moleculares, variabilidade genética. Divergence on QTLs and genetic variance for protein and oil contents in soybeanAbstract -The objective of this work was to evaluate the relationship between the parameters of divergence on QTL regions and the genetic variance in soybean genotypes for protein and oil contents. Two groups of genotypes were evaluated for protein and oil contents in different environments, and genotyped with molecular markers of QTL regions. Subgroups were established by predefined criteria from each group, and the relationship between the parameters was evaluated by comparing mean divergence and genetic variance between the subgroups. The subgroups were defined based on the criteria of difference of mean divergence, homogeneity and heterogeneity in the subgroups, and proximity in a three-dimensional projection of the distance matrix. Percentage agreement between the greater values for mean divergence and genetic divergence for the subgroup total of each initial group was 72.5 and 73.4%, respectively. Therefore, there is a positive relationship between the estimates on QTL regions and genetic variance for protein and oil contents in grains in these genotypes. The genetic distances based on molecular markers of QTL regions are efficient to predict the genetic variability in soybean genotypes, for protein and oil contents.

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Genetic diversity and population structure of vegetable soybean (Glycine max (L.) Merr.) in China as revealed by SSR markers

Cited by 49 publications

References 29 publications

Genetic structure and diversity of a soybean germplasm considering biological nitrogen fixation and protein content

Genetic structure and diversity of a soybean germplasm considering biological nitrogen fixation and protein content

Genetic diversity in Brazilian soybean germplasm

Divergência em QTLs e variância genética para teores de proteína e óleo em soja

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