Filipovski, Filip

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  • Filipovski, Filip (2)
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Author's Bibliography

Molecular characterisation of soybean varieties by SSR markers

Ristic, Danijela; Filipovski, Filip; Perić, Vesna; Mladenović Drinić, Snežana; Kovinčić, Anika; Kravić, Natalija; Kostadinović, Marija

(Belgrade : Serbian genetic society, 2020)

TY  - CONF
AU  - Ristic, Danijela
AU  - Filipovski, Filip
AU  - Perić, Vesna
AU  - Mladenović Drinić, Snežana
AU  - Kovinčić, Anika
AU  - Kravić, Natalija
AU  - Kostadinović, Marija
PY  - 2020
UR  - http://rik.mrizp.rs/handle/123456789/974
AB  - Soybean (Glycine max (L.) Merr.) is one of the most economically important legumes.
As the source of plant protein and vegetable oil it is used as food and industrial crop in
many regions of the world. The genetic base of soybean cultivars is highly narrow,
corresponding to the fact that it is largely a self-pollinated species. Twelve soybean
varieties were evaluated with SSR (Simple Sequence Repeat) markers selected based on
their distribution on the 20 genetic linkage groups. Out of 36 SSR markers, 33 markers
were found polymorphic among analyzed genotypes. Total number of alleles was 88,
ranging between two and four with an average of 2.67 alleles per marker. The
polymorphic information content (PIC) ranged from 0.153 (Satt229, Satt239 and
Satt327) to 0.775 (Satt276). Simple matching similarity coefficient was calculated using
NTSYSpc2 program package. The average genetic similarity coefficient for all pairwise
was 0.57, with highest value (0.84) between Galina and Lela, while the lowest value
(0.46) was found between Bosa and Nena. Dendrogram by the UPGMA (Unweighted
Pair Group Method with Arithmetic Mean) method was constructed on the basis of
genetic similarity matrix. Genotypes were distributed in two groups and one branch,
mostly in accordance with their pedigree.
PB  - Belgrade : Serbian genetic society
C3  - 6. congress of the Serbian genetic society, 13-1.10. 2019, Vrnjačka Banja, Serbia - Book of proceedings
T1  - Molecular characterisation of soybean varieties by SSR markers
SP  - 90
EP  - 96
UR  - https://hdl.handle.net/21.15107/rcub_rik_974
ER  - 
@conference{
author = "Ristic, Danijela and Filipovski, Filip and Perić, Vesna and Mladenović Drinić, Snežana and Kovinčić, Anika and Kravić, Natalija and Kostadinović, Marija",
year = "2020",
abstract = "Soybean (Glycine max (L.) Merr.) is one of the most economically important legumes.
As the source of plant protein and vegetable oil it is used as food and industrial crop in
many regions of the world. The genetic base of soybean cultivars is highly narrow,
corresponding to the fact that it is largely a self-pollinated species. Twelve soybean
varieties were evaluated with SSR (Simple Sequence Repeat) markers selected based on
their distribution on the 20 genetic linkage groups. Out of 36 SSR markers, 33 markers
were found polymorphic among analyzed genotypes. Total number of alleles was 88,
ranging between two and four with an average of 2.67 alleles per marker. The
polymorphic information content (PIC) ranged from 0.153 (Satt229, Satt239 and
Satt327) to 0.775 (Satt276). Simple matching similarity coefficient was calculated using
NTSYSpc2 program package. The average genetic similarity coefficient for all pairwise
was 0.57, with highest value (0.84) between Galina and Lela, while the lowest value
(0.46) was found between Bosa and Nena. Dendrogram by the UPGMA (Unweighted
Pair Group Method with Arithmetic Mean) method was constructed on the basis of
genetic similarity matrix. Genotypes were distributed in two groups and one branch,
mostly in accordance with their pedigree.",
publisher = "Belgrade : Serbian genetic society",
journal = "6. congress of the Serbian genetic society, 13-1.10. 2019, Vrnjačka Banja, Serbia - Book of proceedings",
title = "Molecular characterisation of soybean varieties by SSR markers",
pages = "90-96",
url = "https://hdl.handle.net/21.15107/rcub_rik_974"
}
Ristic, D., Filipovski, F., Perić, V., Mladenović Drinić, S., Kovinčić, A., Kravić, N.,& Kostadinović, M.. (2020). Molecular characterisation of soybean varieties by SSR markers. in 6. congress of the Serbian genetic society, 13-1.10. 2019, Vrnjačka Banja, Serbia - Book of proceedings
Belgrade : Serbian genetic society., 90-96.
https://hdl.handle.net/21.15107/rcub_rik_974
Ristic D, Filipovski F, Perić V, Mladenović Drinić S, Kovinčić A, Kravić N, Kostadinović M. Molecular characterisation of soybean varieties by SSR markers. in 6. congress of the Serbian genetic society, 13-1.10. 2019, Vrnjačka Banja, Serbia - Book of proceedings. 2020;:90-96.
https://hdl.handle.net/21.15107/rcub_rik_974 .
Ristic, Danijela, Filipovski, Filip, Perić, Vesna, Mladenović Drinić, Snežana, Kovinčić, Anika, Kravić, Natalija, Kostadinović, Marija, "Molecular characterisation of soybean varieties by SSR markers" in 6. congress of the Serbian genetic society, 13-1.10. 2019, Vrnjačka Banja, Serbia - Book of proceedings (2020):90-96,
https://hdl.handle.net/21.15107/rcub_rik_974 .

Genetic diversity among soybean genotypes assessed by molecular markers

Ristić, Danijela; Filipovski, Filip; Perić, Vesna; Kostadinović, Marija; Gošić-Dondo, Snežana; Mladenović Drinić, Snežana

(London : SciTechnol, 2019)

TY  - CONF
AU  - Ristić, Danijela
AU  - Filipovski, Filip
AU  - Perić, Vesna
AU  - Kostadinović, Marija
AU  - Gošić-Dondo, Snežana
AU  - Mladenović Drinić, Snežana
PY  - 2019
UR  - http://rik.mrizp.rs/handle/123456789/980
AB  - Soybean (Glycine max (L.) Merr.) is one of the oldest crop in the world, with a history of growing over 4000 years. At the same time it is the most important legume in the global world production. Simple Sequence Repeat (SSR) markers are widely used for estimation of genetic diversity within different species, due to their reproducibility, co-dominant and multi-allelic nature. Molecular characterization among soybean genotypes was done with 36 SSR markers, with at least one primer from each linkage group, to determine the genetic diversity. Twenty soybean accessions and varieties obtained from Maize Reasearch Institute „Zemun Polje“ were analyzed. A total number of detected alleles was 116 and number of alleles varied between two to six, with an average of 3.22 alleles per marker. Thirteen unique alleles were obtained from eleven SSR loci in nine genotypes. Molecular analysis revealed a high polymorphism of SSR loci. Pairwise coefficients of genetic similarity calculated by Dice ranged from 0.14 to 0.74. Genetic similarity matrix was used to construct dendrogram by UPGMA (Unweighted Pair Group Method with Arithmetic Mean) method in NTSYSpc2 program package. This clustering method distinguished 20 soybean genotypes in two subclusters and one branch.
PB  - London : SciTechnol
C3  - Journal of plant physiology & pathology
T1  - Genetic diversity among soybean genotypes assessed by molecular markers
VL  - 07
SP  - 37
UR  - https://hdl.handle.net/21.15107/rcub_rik_980
ER  - 
@conference{
author = "Ristić, Danijela and Filipovski, Filip and Perić, Vesna and Kostadinović, Marija and Gošić-Dondo, Snežana and Mladenović Drinić, Snežana",
year = "2019",
abstract = "Soybean (Glycine max (L.) Merr.) is one of the oldest crop in the world, with a history of growing over 4000 years. At the same time it is the most important legume in the global world production. Simple Sequence Repeat (SSR) markers are widely used for estimation of genetic diversity within different species, due to their reproducibility, co-dominant and multi-allelic nature. Molecular characterization among soybean genotypes was done with 36 SSR markers, with at least one primer from each linkage group, to determine the genetic diversity. Twenty soybean accessions and varieties obtained from Maize Reasearch Institute „Zemun Polje“ were analyzed. A total number of detected alleles was 116 and number of alleles varied between two to six, with an average of 3.22 alleles per marker. Thirteen unique alleles were obtained from eleven SSR loci in nine genotypes. Molecular analysis revealed a high polymorphism of SSR loci. Pairwise coefficients of genetic similarity calculated by Dice ranged from 0.14 to 0.74. Genetic similarity matrix was used to construct dendrogram by UPGMA (Unweighted Pair Group Method with Arithmetic Mean) method in NTSYSpc2 program package. This clustering method distinguished 20 soybean genotypes in two subclusters and one branch.",
publisher = "London : SciTechnol",
journal = "Journal of plant physiology & pathology",
title = "Genetic diversity among soybean genotypes assessed by molecular markers",
volume = "07",
pages = "37",
url = "https://hdl.handle.net/21.15107/rcub_rik_980"
}
Ristić, D., Filipovski, F., Perić, V., Kostadinović, M., Gošić-Dondo, S.,& Mladenović Drinić, S.. (2019). Genetic diversity among soybean genotypes assessed by molecular markers. in Journal of plant physiology & pathology
London : SciTechnol., 07, 37.
https://hdl.handle.net/21.15107/rcub_rik_980
Ristić D, Filipovski F, Perić V, Kostadinović M, Gošić-Dondo S, Mladenović Drinić S. Genetic diversity among soybean genotypes assessed by molecular markers. in Journal of plant physiology & pathology. 2019;07:37.
https://hdl.handle.net/21.15107/rcub_rik_980 .
Ristić, Danijela, Filipovski, Filip, Perić, Vesna, Kostadinović, Marija, Gošić-Dondo, Snežana, Mladenović Drinić, Snežana, "Genetic diversity among soybean genotypes assessed by molecular markers" in Journal of plant physiology & pathology, 07 (2019):37,
https://hdl.handle.net/21.15107/rcub_rik_980 .