Šurlan-Momirović, Gordana

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  • Šurlan-Momirović, Gordana (4)
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Author's Bibliography

SSR analysis of molecular variance (AMOVA) for red clover genotypes

Radinović, Irena; Vasiljević, Sanja; Perović, Dragan; Branković, Gordana; Milošević, Branko; Šurlan-Momirović, Gordana

(University of East Sarajevo, Faculty of Agriculture, Republic of Srpska, Bosnia and Herzegovina, 2019)

TY  - GEN
AU  - Radinović, Irena
AU  - Vasiljević, Sanja
AU  - Perović, Dragan
AU  - Branković, Gordana
AU  - Milošević, Branko
AU  - Šurlan-Momirović, Gordana
PY  - 2019
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6992
AB  - Red clover (Trifolium pratense L.) is forage legume with multipurpose value and evaluation
of its genetic diversity is fundamental for its breeding. Plant material in this investigation
consisted of 46 red clover accessions that came from throughout the world and our
experiment was evaluated based on a trial that was set up in a randomized block design with
three replications according to the UPOV descriptor (2001). The traits of interest were
following agronomical and quality properties: number of internodes (NOI), stem length
(STL), yield of green mass (YGM), yield of dry matter (YDM), crude protein (CP), acid
detergent fiber (ADF), neutral detergent fiber (NDF). In the evaluation of red clover
genotypes that were grouped according to the agronomical and chemical traits, the genotypes
were separated into four clusters. The determined sample segregation was tried to
interconnect with DNA level variation. Analysis of molecular variance (AMOVA) based on
14 Simple sequence repeats (SSR) was performed to assess genetic variation within and
between red clover populations that were previously clustered. AMOVA did not show
statistically significant intergroup differentiation. The index of genetic differentiation (ΦST)
among groups was also estimated using the AMOVA procedure and it revealed weak genetic
differentiation between these four clusters. As in many other marker supported experiments,
in this investigation, AMOVA showed that the larger proportion of variation resided within
population level.
PB  - University of East Sarajevo, Faculty of Agriculture, Republic of Srpska, Bosnia and Herzegovina
T2  - X International Scientific Agriculture Symposium “Agrosym 2019”
T1  - SSR analysis of molecular variance (AMOVA) for red clover genotypes
EP  - 221
SP  - 221
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_6992
ER  - 
@misc{
author = "Radinović, Irena and Vasiljević, Sanja and Perović, Dragan and Branković, Gordana and Milošević, Branko and Šurlan-Momirović, Gordana",
year = "2019",
abstract = "Red clover (Trifolium pratense L.) is forage legume with multipurpose value and evaluation
of its genetic diversity is fundamental for its breeding. Plant material in this investigation
consisted of 46 red clover accessions that came from throughout the world and our
experiment was evaluated based on a trial that was set up in a randomized block design with
three replications according to the UPOV descriptor (2001). The traits of interest were
following agronomical and quality properties: number of internodes (NOI), stem length
(STL), yield of green mass (YGM), yield of dry matter (YDM), crude protein (CP), acid
detergent fiber (ADF), neutral detergent fiber (NDF). In the evaluation of red clover
genotypes that were grouped according to the agronomical and chemical traits, the genotypes
were separated into four clusters. The determined sample segregation was tried to
interconnect with DNA level variation. Analysis of molecular variance (AMOVA) based on
14 Simple sequence repeats (SSR) was performed to assess genetic variation within and
between red clover populations that were previously clustered. AMOVA did not show
statistically significant intergroup differentiation. The index of genetic differentiation (ΦST)
among groups was also estimated using the AMOVA procedure and it revealed weak genetic
differentiation between these four clusters. As in many other marker supported experiments,
in this investigation, AMOVA showed that the larger proportion of variation resided within
population level.",
publisher = "University of East Sarajevo, Faculty of Agriculture, Republic of Srpska, Bosnia and Herzegovina",
journal = "X International Scientific Agriculture Symposium “Agrosym 2019”",
title = "SSR analysis of molecular variance (AMOVA) for red clover genotypes",
pages = "221-221",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_6992"
}
Radinović, I., Vasiljević, S., Perović, D., Branković, G., Milošević, B.,& Šurlan-Momirović, G.. (2019). SSR analysis of molecular variance (AMOVA) for red clover genotypes. in X International Scientific Agriculture Symposium “Agrosym 2019”
University of East Sarajevo, Faculty of Agriculture, Republic of Srpska, Bosnia and Herzegovina., 221-221.
https://hdl.handle.net/21.15107/rcub_agrospace_6992
Radinović I, Vasiljević S, Perović D, Branković G, Milošević B, Šurlan-Momirović G. SSR analysis of molecular variance (AMOVA) for red clover genotypes. in X International Scientific Agriculture Symposium “Agrosym 2019”. 2019;:221-221.
https://hdl.handle.net/21.15107/rcub_agrospace_6992 .
Radinović, Irena, Vasiljević, Sanja, Perović, Dragan, Branković, Gordana, Milošević, Branko, Šurlan-Momirović, Gordana, "SSR analysis of molecular variance (AMOVA) for red clover genotypes" in X International Scientific Agriculture Symposium “Agrosym 2019” (2019):221-221,
https://hdl.handle.net/21.15107/rcub_agrospace_6992 .

Associations between nutritional composition and farming type of organically and conventionally grown cereals

Menkovska, Mirjana; Branković, Gordana; Pajić, Vesna; Šurlan-Momirović, Gordana; Knežević, Desimir

(Lycia Press Inc., 2015)

TY  - JOUR
AU  - Menkovska, Mirjana
AU  - Branković, Gordana
AU  - Pajić, Vesna
AU  - Šurlan-Momirović, Gordana
AU  - Knežević, Desimir
PY  - 2015
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6966
AB  - Objective:To determine the nutritional composition including the health beneficial dietary component β-glucan of different cereals grown by organic and conventional farming, and to find out the influence of the cereal kind and farming method on their values, as well as the possible associations between particular nutritive components in cereal samples and farming type.Material and Methods:27 different cereal samples grown at three locations were analysed by standard AOAC methods of analysis for their  nutritional  composition.  A  mixed-linkage β-glucan assay  kit (Megazyme  Ireland) was used for determination of the health benefit dietary component β-glucan value. Cereal kind-farming method by chemical-technological trait bi-plot analysis was done within R 2.9.0 programenvironment for investigation of associations between average value of cereal nutrients and farming type.Results:A significant increase in the content of ash, dry matter, protein and fat in organically produced cereals was  noticed  in  comparison  with  those  which  were  produced  either  by  conventional  or  in  conversion  method. Cereal kind-farming method by chemical-technological trait bi-plot revealed existence of positive and negative associations between the average value of particular cereal nutrient and farming type.Conclusion:Based  on  the  cereal  kind-farming  method  by  chemical-technological  trait bi-plotthe  possibilities are  derived that  could be  used for agronomic  practice, breeding and food processing industry at  improving the important  properties-dry  matter,  protein,  fat,  ash,  moisture  andβ-D-glucan  in  cereal  crops.  Organic  farming method  proved  to  be  effectivefor  oat  for  the  all  examined  chemical–technological  traits  except  moisture  and ash, and for barley for dry matter, beta-glucan, ash and protein contents.
PB  - Lycia Press Inc.
T2  - Natural Science and Discovery
T1  - Associations between nutritional composition and farming type of organically and conventionally grown cereals
EP  - 101
IS  - 4
SP  - 97
VL  - 1
DO  - 10.20863/nsd.44541
ER  - 
@article{
author = "Menkovska, Mirjana and Branković, Gordana and Pajić, Vesna and Šurlan-Momirović, Gordana and Knežević, Desimir",
year = "2015",
abstract = "Objective:To determine the nutritional composition including the health beneficial dietary component β-glucan of different cereals grown by organic and conventional farming, and to find out the influence of the cereal kind and farming method on their values, as well as the possible associations between particular nutritive components in cereal samples and farming type.Material and Methods:27 different cereal samples grown at three locations were analysed by standard AOAC methods of analysis for their  nutritional  composition.  A  mixed-linkage β-glucan assay  kit (Megazyme  Ireland) was used for determination of the health benefit dietary component β-glucan value. Cereal kind-farming method by chemical-technological trait bi-plot analysis was done within R 2.9.0 programenvironment for investigation of associations between average value of cereal nutrients and farming type.Results:A significant increase in the content of ash, dry matter, protein and fat in organically produced cereals was  noticed  in  comparison  with  those  which  were  produced  either  by  conventional  or  in  conversion  method. Cereal kind-farming method by chemical-technological trait bi-plot revealed existence of positive and negative associations between the average value of particular cereal nutrient and farming type.Conclusion:Based  on  the  cereal  kind-farming  method  by  chemical-technological  trait bi-plotthe  possibilities are  derived that  could be  used for agronomic  practice, breeding and food processing industry at  improving the important  properties-dry  matter,  protein,  fat,  ash,  moisture  andβ-D-glucan  in  cereal  crops.  Organic  farming method  proved  to  be  effectivefor  oat  for  the  all  examined  chemical–technological  traits  except  moisture  and ash, and for barley for dry matter, beta-glucan, ash and protein contents.",
publisher = "Lycia Press Inc.",
journal = "Natural Science and Discovery",
title = "Associations between nutritional composition and farming type of organically and conventionally grown cereals",
pages = "101-97",
number = "4",
volume = "1",
doi = "10.20863/nsd.44541"
}
Menkovska, M., Branković, G., Pajić, V., Šurlan-Momirović, G.,& Knežević, D.. (2015). Associations between nutritional composition and farming type of organically and conventionally grown cereals. in Natural Science and Discovery
Lycia Press Inc.., 1(4), 97-101.
https://doi.org/10.20863/nsd.44541
Menkovska M, Branković G, Pajić V, Šurlan-Momirović G, Knežević D. Associations between nutritional composition and farming type of organically and conventionally grown cereals. in Natural Science and Discovery. 2015;1(4):97-101.
doi:10.20863/nsd.44541 .
Menkovska, Mirjana, Branković, Gordana, Pajić, Vesna, Šurlan-Momirović, Gordana, Knežević, Desimir, "Associations between nutritional composition and farming type of organically and conventionally grown cereals" in Natural Science and Discovery, 1, no. 4 (2015):97-101,
https://doi.org/10.20863/nsd.44541 . .
2

Relationship between grain yield, yield components and morphological traits in maize (Zea mays L.)

Pavlov, Jovan; Delić, Nenad; Šurlan-Momirović, Gordana; Branković, Gordana; Grčić, Nikola; Božinović, Sofija; Kandić, Vesna

(University of Zagreb, Faculty of Agriculture, Zagreb, Croatia, 2012)

TY  - CONF
AU  - Pavlov, Jovan
AU  - Delić, Nenad
AU  - Šurlan-Momirović, Gordana
AU  - Branković, Gordana
AU  - Grčić, Nikola
AU  - Božinović, Sofija
AU  - Kandić, Vesna
PY  - 2012
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6980
AB  - Twelve early to medium maturity maize hybrids were observed at two locations during 2010. to
assess the phenotypic correlations among grain yield and six quantitative traits. Significant
variations for grain yield and all investigated traits was found at probability level of P=0.05.
Plant height showed the strongest positive correlation with grain yield (rp=0.521**) followed by
number of leaves per plant (rp= 0.394**), while positive phenotypic correlations was recorded
between grain yield and all of the investigated traits.
PB  - University of Zagreb, Faculty of Agriculture, Zagreb, Croatia
C3  - Proceedings of 47th Croatian and 9th International Symposium on Agriculture
T1  - Relationship between grain yield, yield components and morphological traits in maize (Zea mays L.)
EP  - 307
SP  - 304
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_6980
ER  - 
@conference{
author = "Pavlov, Jovan and Delić, Nenad and Šurlan-Momirović, Gordana and Branković, Gordana and Grčić, Nikola and Božinović, Sofija and Kandić, Vesna",
year = "2012",
abstract = "Twelve early to medium maturity maize hybrids were observed at two locations during 2010. to
assess the phenotypic correlations among grain yield and six quantitative traits. Significant
variations for grain yield and all investigated traits was found at probability level of P=0.05.
Plant height showed the strongest positive correlation with grain yield (rp=0.521**) followed by
number of leaves per plant (rp= 0.394**), while positive phenotypic correlations was recorded
between grain yield and all of the investigated traits.",
publisher = "University of Zagreb, Faculty of Agriculture, Zagreb, Croatia",
journal = "Proceedings of 47th Croatian and 9th International Symposium on Agriculture",
title = "Relationship between grain yield, yield components and morphological traits in maize (Zea mays L.)",
pages = "307-304",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_6980"
}
Pavlov, J., Delić, N., Šurlan-Momirović, G., Branković, G., Grčić, N., Božinović, S.,& Kandić, V.. (2012). Relationship between grain yield, yield components and morphological traits in maize (Zea mays L.). in Proceedings of 47th Croatian and 9th International Symposium on Agriculture
University of Zagreb, Faculty of Agriculture, Zagreb, Croatia., 304-307.
https://hdl.handle.net/21.15107/rcub_agrospace_6980
Pavlov J, Delić N, Šurlan-Momirović G, Branković G, Grčić N, Božinović S, Kandić V. Relationship between grain yield, yield components and morphological traits in maize (Zea mays L.). in Proceedings of 47th Croatian and 9th International Symposium on Agriculture. 2012;:304-307.
https://hdl.handle.net/21.15107/rcub_agrospace_6980 .
Pavlov, Jovan, Delić, Nenad, Šurlan-Momirović, Gordana, Branković, Gordana, Grčić, Nikola, Božinović, Sofija, Kandić, Vesna, "Relationship between grain yield, yield components and morphological traits in maize (Zea mays L.)" in Proceedings of 47th Croatian and 9th International Symposium on Agriculture (2012):304-307,
https://hdl.handle.net/21.15107/rcub_agrospace_6980 .

Application of biological markers in perennial forage legumes breeding

Vasiljević, Sanja; Šurlan-Momirović, Gordana; Nikolić, Zorica; Katić, Slobodan; Ćalić, Irena; Branković, Gordana; Milić, Dragan

(Institute for Animal Husbandry, Belgrade-Zemun, 2010)

TY  - JOUR
AU  - Vasiljević, Sanja
AU  - Šurlan-Momirović, Gordana
AU  - Nikolić, Zorica
AU  - Katić, Slobodan
AU  - Ćalić, Irena
AU  - Branković, Gordana
AU  - Milić, Dragan
PY  - 2010
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6965
AB  - Combining biological markers application with strong
population improvement programs will enable the maximum genetic potential of
perennial forage legumes to be realized. Isozymes and molecular markers - MMs
(RAPD, AFLP, SSR, SSR, RFLP etc.) are powerful tools which can be used for
germplasm genetic diversity characterization. That means that protein and
molecular markers could help to identify genetic differences and relationships
among and within germplasm accession of perennial forage legumes. Molecular
markers can be used to develop detailed genetic linkage maps and to conduct
marker-assisted selection. Among the forage legumes, alfalfa genome mapping is
most advanced.
PB  - Institute for Animal Husbandry, Belgrade-Zemun
T2  - Biotechnology in Animal Husbandry
T1  - Application of biological markers in perennial forage legumes breeding
EP  - 72
IS  - 26 (special issue)
SP  - 57
UR  - https://hdl.handle.net/21.15107/rcub_agrospace_6965
ER  - 
@article{
author = "Vasiljević, Sanja and Šurlan-Momirović, Gordana and Nikolić, Zorica and Katić, Slobodan and Ćalić, Irena and Branković, Gordana and Milić, Dragan",
year = "2010",
abstract = "Combining biological markers application with strong
population improvement programs will enable the maximum genetic potential of
perennial forage legumes to be realized. Isozymes and molecular markers - MMs
(RAPD, AFLP, SSR, SSR, RFLP etc.) are powerful tools which can be used for
germplasm genetic diversity characterization. That means that protein and
molecular markers could help to identify genetic differences and relationships
among and within germplasm accession of perennial forage legumes. Molecular
markers can be used to develop detailed genetic linkage maps and to conduct
marker-assisted selection. Among the forage legumes, alfalfa genome mapping is
most advanced.",
publisher = "Institute for Animal Husbandry, Belgrade-Zemun",
journal = "Biotechnology in Animal Husbandry",
title = "Application of biological markers in perennial forage legumes breeding",
pages = "72-57",
number = "26 (special issue)",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_6965"
}
Vasiljević, S., Šurlan-Momirović, G., Nikolić, Z., Katić, S., Ćalić, I., Branković, G.,& Milić, D.. (2010). Application of biological markers in perennial forage legumes breeding. in Biotechnology in Animal Husbandry
Institute for Animal Husbandry, Belgrade-Zemun.(26 (special issue)), 57-72.
https://hdl.handle.net/21.15107/rcub_agrospace_6965
Vasiljević S, Šurlan-Momirović G, Nikolić Z, Katić S, Ćalić I, Branković G, Milić D. Application of biological markers in perennial forage legumes breeding. in Biotechnology in Animal Husbandry. 2010;(26 (special issue)):57-72.
https://hdl.handle.net/21.15107/rcub_agrospace_6965 .
Vasiljević, Sanja, Šurlan-Momirović, Gordana, Nikolić, Zorica, Katić, Slobodan, Ćalić, Irena, Branković, Gordana, Milić, Dragan, "Application of biological markers in perennial forage legumes breeding" in Biotechnology in Animal Husbandry, no. 26 (special issue) (2010):57-72,
https://hdl.handle.net/21.15107/rcub_agrospace_6965 .