Genetic diversity in soybean germplasm identified by SSR and EST-SSR markers

Mulato, Bruno Mello; Möller, Milene; Zucchi, Maria Imaculada; Quecini, Vera; Pinheiro, José Baldin

doi:10.1590/s0100-204x2010000300007

Cited by 45 publications

(40 citation statements)

References 21 publications

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“…The values of polymorphism information content which estimate the informativeness of each locus ranged from 0.1 to 0.75 and had average equal to 0.44. These results are close to the values reported by Mian, Sung-Taeg &Margaret (2009), andMulato, Möller, Zucchi, Quecini &, when assessing microsatellite markers in elite varieties and accessions of soybean germplasm.…”

Section: Discussionsupporting

confidence: 89%

“…Molecular markers have been the methodologies preferably used to assess genetic relationships among cultivars due to information of accessions genealogy is incomplete or few times available or detailed enough, and molecular markers have no environment influence alternatively to most agronomic traits (Mulato et al, 2010). In turn, microsatellite markers are the most used markers in genetic diversity studies because of its abundance, high polymorphism level, multiallelism, and codominant inheritance (Rodrigues, Arruda, Cruz, Piovesan, Barros & Moreira, 2015).…”

Section: Discussionmentioning

confidence: 99%

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et al. 2017

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Pre-mejoramiento vegetal para el volumen incrementado de proteína en soya Glycine max (L. ) AbstractThe aim of this research were to determine protein content and genetic divergence of soybean genotypes in QTL regions of the trait grain protein content for plant breeding purposes. Twenty-nine soybean genotypes were grown in the field in four environments (Viçosa-MG Dec/2009, Visconde do Rio Branco-MG Feb/2010, São Gotardo-MG Feb/2010, and São Gotardo-MG Oct/2011) using the randomized block design with three replicates. The grain protein content was quantified by the infrared spectrometry method. The genetic divergence was estimated by the analysis of 39 microsatellite markers from QTL regions for the soybean grain protein content. The pairs of genotypes with greater genetic distances and protein contents were as follows: BARC-8/CS3032PTA276-3-4 (D=0.71) (45.18%/44.31%); BARC-8/CS3032PTA276-1-2 (D=0.71) (45.18%/43.75%); BARC-8/CS3032PTA190-5-1 (D=0.71) (45.18%/43.63%); B3PTA382-2-10/CS3032PTA276-3-4 (D=0.62) (43.80%/44.31%); CS3032PTA276-1-2/ B3PTA382-2-10 (D=0.62) (43.75%/43.80%); B3PTA382-2-10/CS3032PTA190-5-1 (D=0.62) (43.80%/43.63%); B3PTA216-1-9/CS3032PTA276-3-4 (D=0.61) (43.48%/44.31%); and B3PTA216-1-9/CS3032PTA276-1-2 (D=0.61) (43.48%/43.75%), respectively. Other promising combinations for the improvement of protein content were as follows: BR8014887/CS3032PTA190-5-1 (D=0.57) (44.71%/43.63%); BARC-8/CS3032PTA182 (D=0.78) (45.18%/41.84%); BR8014887/CS3032PTA182 (D=0.65) (44.71%/41.84%); BR8014887/PI417360 (D=0.76) (44.71%/41.01%), respectively; and PI417360/B3PTA216-1-9 (D=0.80) (41.01%/43.48%). These pairs of genotypes when crossed should produce populations with higher means and genetic variances and greater gains with selection.

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confidence: 89%

Section: Discussionmentioning

confidence: 99%

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“…The high level of polymorphism detected increases the resolution of the study of genealogy and genetic diversity and reduces the number of markers required to distinguish genotypes. SSR markers have been used to analyze genetic diversity in several species, including maize (Laborda et al, 2005), wheat (Huang et al, 2007) and soybean (Yamanaka et al, 2007;Mulato et al, 2010;Singh et al, 2010).…”

Section: Author(s) Agree That This Article Remain Permanently Open Acmentioning

confidence: 99%

Genetic divergence of roundup ready (RR) soybean cultivars estimated by phenotypic characteristics and molecular markers

Villela¹,

Uneda-Trevisoli²,

Silva³

et al. 2014

Afr. J. Biotechnol.

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The aim of this study was to estimate the genetic diversity in 74 RR soybean cultivars from different Brazilian breeding programs. Analyzes were based on multivariate statistical techniques from phenotypic characteristics and microsatellite molecular markers (SSR). Ten agronomic traits were used in the analysis of the Euclidean distance, Tocher's clustering, UPGMA clustering and principal component analysis. Eighty-six of 100 SSR primer-pairs studied were selected based on their polymorphism information content, and analyzed using Jaccard Coefficient and UPGMA clustering method. The cultivars were clustered into seven groups according to the UPGMA and Tocher's methods, based on agronomic traits, while molecular analysis identified six groups. The phenotypic distances ranged from 0.46 to 9.79 and the dissimilarity measurements, based on SSR molecular markers, ranged from 0.07 to 0.73. Both results from agronomic traits and molecular markers showed that there is genetic variability among the RR cultivars and that the Monsanto breeding program has the most divergent germplasm. The analyzed agronomic traits and the chosen SSR markers were effective in assessing the genetic diversity among genotypes, besides proving to be useful for characterizing genetic variability of soybean germplasm.

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“…The Brazilian soybean cultivars have great diversity in canopy characteristics such as plant size, architecture, branch and raceme level, and leafiness of plants (Priolli et al, 2002;Oliveira et al, 2003;Miranda et al, 2007;Mulato et al, 2010, Oliveira et al, 2012. These characteristics are genetic base dependent.…”

Section: Introductionmentioning

confidence: 99%

Response of soybean yield components and allocation of dry matter to increased temperature and CO2 concentration

Pereira-Flores¹,

Justino²,

Ruiz‐Vera³

et al. 2016

Aust J Crop Sci

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Future climatic scenarios can influence crop yield levels and induce hunger if no actions are taken. In this study, we evaluated the effect of increased temperature and CO 2 concentration on soybean yield components and biomass partitioning, that ultimately determine the crops productivity. This is conducted for two soybean genotypes that differ in their canopy and life cycles. Experiments were set as follows: a) T1 -ambient temperature and 390 molCO 2 •mol -1 , b) T2 -ambient air temperature +2.7 o C and ambient CO2, and c) T3 -ambient air temperature + 2.7 o C and 750 molCO 2 •mol -1 . Results indicate that soybean under elevated CO 2 and temperature (T3), were taller and grains weighed more than under the ambient conditions in both cultivars types. However, yield has not increased substantially due to reductions in the ratio of number of branch/plant, pods/branch and grains/branch which lead also to a lesser number of total pods and grains per plant. The increase of temperature favored the number of pods and grains on branches in the modern type cultivar, and on racemes in the old cultivar. This results in more yield in both cultivars versus plants grown in the current ambient, and higher CO 2 concentration plus temperature. In both cultivars, the pods and grains partition were higher on the ontogenically oldest four branches and racemes, with decrease in the other upper ones. In addition, the biomass allocation in vegetative tissues was higher than reproductive biomass, with intensity cultivar dependent. We concluded that in future the yield could be limited by reduction of the numbers of branches and racemes in plant, and by alteration at source-sink relation, thus, indicating that changes in canopy architecture are needed to better take advantage of the increasing concentration of CO 2 .

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Genetic diversity in soybean germplasm identified by SSR and EST-SSR markers

Cited by 45 publications

References 21 publications

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Genetic divergence of roundup ready (RR) soybean cultivars estimated by phenotypic characteristics and molecular markers

Response of soybean yield components and allocation of dry matter to increased temperature and CO2 concentration

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