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.
Keywords:
genetic similarity / SSR / glycine max
Source:
6. congress of the Serbian genetic society, 13-1.10. 2019, Vrnjačka Banja, Serbia - Book of proceedings, 2020, 90-96
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
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"
}
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.
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..
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.
