Kobiljski, Borislav

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  • Kobiljski, Borislav (4)
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Author's Bibliography

Albumin content in bread wheat (Triticum aestivum L.) and durum wheat (Triticum durum Desf.) as affected by the environment

Branković, Gordana; Šurlan-Momirović, Gordana; Dragičević, Vesna; Dodig, Dejan; Knežević, Desimir; Kobiljski, Borislav

(Lithuanian Research Centre Agriculture & Forestry, Kedainiu R, 2015)

TY  - JOUR
AU  - Branković, Gordana
AU  - Šurlan-Momirović, Gordana
AU  - Dragičević, Vesna
AU  - Dodig, Dejan
AU  - Knežević, Desimir
AU  - Kobiljski, Borislav
PY  - 2015
UR  - http://rik.mrizp.rs/handle/123456789/583
AB  - Albumins or water soluble proteins (wsp) in wheat are important as nutrients containing high content of essential amino acids such as lysine, tryptophan, methionine, and also asparagine, glutamine, arginine, and proline in comparison to storage proteins-glutenins and gliadins. Fifteen bread wheat (Triticum aestivum L.) and 15 durum wheat (Triticum durum Desf.) genotypes were evaluated across six different environments for two years to determine the content of albumins in grains. The purpose of this research was to determine the variability of the albumins content of the tested bread wheat and durum wheat genotypes, effects of environment, genotype and their interaction (GET) on the trait of interest, heritability in a broad sense, stability, and also to interpret GET by climatic factors modelling. The statistical procedure included analysis of variance, sites regression and factorial regression. The mean content of albumins was 20.23 g kg(-1) in bread wheat and 23.12 g kg(-1) in durum wheat. Environment followed by GEI was the most important in determining albumins content. The heritability in a broad sense was low, i.e. 31.3% for bread wheat and only 2.4% for durum wheat. GET for the albumins content was explained with the efficacy of 94.7% and 94.2% of sum of squares, for bread wheat and durum wheat, respectively, by the following models: mean temperature in May, winter moisture reserves, minimum temperature in April and March for bread wheat; and precipitation sum in April, sunshine hours sum in March, maximum temperature in May, and winter moisture reserves for durum wheat. The simultaneous selection for high albumins content and good stability proved to be possible for bread wheat genotypes, but less for durum wheat genotypes due to unsatisfactory stability.
PB  - Lithuanian Research Centre Agriculture & Forestry, Kedainiu R
T2  - Zemdirbyste-Agriculture
T1  - Albumin content in bread wheat (Triticum aestivum L.) and durum wheat (Triticum durum Desf.) as affected by the environment
VL  - 102
IS  - 3
SP  - 281
EP  - 288
DO  - 10.13080/z-a.2015.102.036
ER  - 
@article{
author = "Branković, Gordana and Šurlan-Momirović, Gordana and Dragičević, Vesna and Dodig, Dejan and Knežević, Desimir and Kobiljski, Borislav",
year = "2015",
abstract = "Albumins or water soluble proteins (wsp) in wheat are important as nutrients containing high content of essential amino acids such as lysine, tryptophan, methionine, and also asparagine, glutamine, arginine, and proline in comparison to storage proteins-glutenins and gliadins. Fifteen bread wheat (Triticum aestivum L.) and 15 durum wheat (Triticum durum Desf.) genotypes were evaluated across six different environments for two years to determine the content of albumins in grains. The purpose of this research was to determine the variability of the albumins content of the tested bread wheat and durum wheat genotypes, effects of environment, genotype and their interaction (GET) on the trait of interest, heritability in a broad sense, stability, and also to interpret GET by climatic factors modelling. The statistical procedure included analysis of variance, sites regression and factorial regression. The mean content of albumins was 20.23 g kg(-1) in bread wheat and 23.12 g kg(-1) in durum wheat. Environment followed by GEI was the most important in determining albumins content. The heritability in a broad sense was low, i.e. 31.3% for bread wheat and only 2.4% for durum wheat. GET for the albumins content was explained with the efficacy of 94.7% and 94.2% of sum of squares, for bread wheat and durum wheat, respectively, by the following models: mean temperature in May, winter moisture reserves, minimum temperature in April and March for bread wheat; and precipitation sum in April, sunshine hours sum in March, maximum temperature in May, and winter moisture reserves for durum wheat. The simultaneous selection for high albumins content and good stability proved to be possible for bread wheat genotypes, but less for durum wheat genotypes due to unsatisfactory stability.",
publisher = "Lithuanian Research Centre Agriculture & Forestry, Kedainiu R",
journal = "Zemdirbyste-Agriculture",
title = "Albumin content in bread wheat (Triticum aestivum L.) and durum wheat (Triticum durum Desf.) as affected by the environment",
volume = "102",
number = "3",
pages = "281-288",
doi = "10.13080/z-a.2015.102.036"
}
Branković, G., Šurlan-Momirović, G., Dragičević, V., Dodig, D., Knežević, D.,& Kobiljski, B.. (2015). Albumin content in bread wheat (Triticum aestivum L.) and durum wheat (Triticum durum Desf.) as affected by the environment. in Zemdirbyste-Agriculture
Lithuanian Research Centre Agriculture & Forestry, Kedainiu R., 102(3), 281-288.
https://doi.org/10.13080/z-a.2015.102.036
Branković G, Šurlan-Momirović G, Dragičević V, Dodig D, Knežević D, Kobiljski B. Albumin content in bread wheat (Triticum aestivum L.) and durum wheat (Triticum durum Desf.) as affected by the environment. in Zemdirbyste-Agriculture. 2015;102(3):281-288.
doi:10.13080/z-a.2015.102.036 .
Branković, Gordana, Šurlan-Momirović, Gordana, Dragičević, Vesna, Dodig, Dejan, Knežević, Desimir, Kobiljski, Borislav, "Albumin content in bread wheat (Triticum aestivum L.) and durum wheat (Triticum durum Desf.) as affected by the environment" in Zemdirbyste-Agriculture, 102, no. 3 (2015):281-288,
https://doi.org/10.13080/z-a.2015.102.036 . .
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Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes

Dodig, Dejan; Kandić, Vesna; Quarrie, Steve; Barnes, Jeremy; Zorić, Miroslav; Kobiljski, Borislav; Savić, Jasna

(Mdpi Ag, Basel, 2012)

TY  - JOUR
AU  - Dodig, Dejan
AU  - Kandić, Vesna
AU  - Quarrie, Steve
AU  - Barnes, Jeremy
AU  - Zorić, Miroslav
AU  - Kobiljski, Borislav
AU  - Savić, Jasna
PY  - 2012
UR  - http://rik.mrizp.rs/handle/123456789/417
AB  - Genetic analyses and association mapping were performed on a winter wheat core collection of 96 accessions sampled from a variety of geographic origins. Twenty-four agronomic traits were evaluated over 3 years under fully irrigated, rainfed and drought treatments. Grain yield was the most sensitive trait to water deficit and was highly correlated with above-ground biomass per plant and number of kernels per m(2). The germplasm was structured into four subpopulations. The association of 46 SSR loci distributed throughout the wheat genome with yield and agronomic traits was analyzed using a general linear model, where subpopulation information was used to control false-positive or spurious marker-trait associations (MTAs). A total of 26, 21 and 29 significant (P  lt  0.001) MTAs were identified in irrigated, rainfed and drought treatments, respectively. The marker effects ranged from 14.0 to 50.8%. Combined across all treatments, 34 significant (P  lt  0.001) MTAs were identified with nine markers, and R-2 ranged from 14.5 to 50.2%. Marker psp3200 (6DS) and particularly gwm484 (2DS) were associated with many significant MTAs in each treatment and explained the greatest proportion of phenotypic variation. Although we were not able to recognize any marker related to grain yield under drought stress, a number of MTAs associated with developmental and agronomic traits highly correlated with grain yield under drought were identified.
PB  - Mdpi Ag, Basel
T2  - International Journal of Molecular Sciences
T1  - Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes
VL  - 13
IS  - 5
SP  - 6167
EP  - 6188
DO  - 10.3390/ijms13056167
ER  - 
@article{
author = "Dodig, Dejan and Kandić, Vesna and Quarrie, Steve and Barnes, Jeremy and Zorić, Miroslav and Kobiljski, Borislav and Savić, Jasna",
year = "2012",
abstract = "Genetic analyses and association mapping were performed on a winter wheat core collection of 96 accessions sampled from a variety of geographic origins. Twenty-four agronomic traits were evaluated over 3 years under fully irrigated, rainfed and drought treatments. Grain yield was the most sensitive trait to water deficit and was highly correlated with above-ground biomass per plant and number of kernels per m(2). The germplasm was structured into four subpopulations. The association of 46 SSR loci distributed throughout the wheat genome with yield and agronomic traits was analyzed using a general linear model, where subpopulation information was used to control false-positive or spurious marker-trait associations (MTAs). A total of 26, 21 and 29 significant (P  lt  0.001) MTAs were identified in irrigated, rainfed and drought treatments, respectively. The marker effects ranged from 14.0 to 50.8%. Combined across all treatments, 34 significant (P  lt  0.001) MTAs were identified with nine markers, and R-2 ranged from 14.5 to 50.2%. Marker psp3200 (6DS) and particularly gwm484 (2DS) were associated with many significant MTAs in each treatment and explained the greatest proportion of phenotypic variation. Although we were not able to recognize any marker related to grain yield under drought stress, a number of MTAs associated with developmental and agronomic traits highly correlated with grain yield under drought were identified.",
publisher = "Mdpi Ag, Basel",
journal = "International Journal of Molecular Sciences",
title = "Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes",
volume = "13",
number = "5",
pages = "6167-6188",
doi = "10.3390/ijms13056167"
}
Dodig, D., Kandić, V., Quarrie, S., Barnes, J., Zorić, M., Kobiljski, B.,& Savić, J.. (2012). Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes. in International Journal of Molecular Sciences
Mdpi Ag, Basel., 13(5), 6167-6188.
https://doi.org/10.3390/ijms13056167
Dodig D, Kandić V, Quarrie S, Barnes J, Zorić M, Kobiljski B, Savić J. Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes. in International Journal of Molecular Sciences. 2012;13(5):6167-6188.
doi:10.3390/ijms13056167 .
Dodig, Dejan, Kandić, Vesna, Quarrie, Steve, Barnes, Jeremy, Zorić, Miroslav, Kobiljski, Borislav, Savić, Jasna, "Genetic and Association Mapping Study of Wheat Agronomic Traits Under Contrasting Water Regimes" in International Journal of Molecular Sciences, 13, no. 5 (2012):6167-6188,
https://doi.org/10.3390/ijms13056167 . .
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Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments

Zorić, Miroslav; Kobiljski, Borislav; Dodig, Dejan; Quarrie, Steve; Barnes, Jeremy

(Springer, Dordrecht, 2012)

TY  - JOUR
AU  - Zorić, Miroslav
AU  - Kobiljski, Borislav
AU  - Dodig, Dejan
AU  - Quarrie, Steve
AU  - Barnes, Jeremy
PY  - 2012
UR  - http://rik.mrizp.rs/handle/123456789/411
AB  - A set of 96 winter wheat accessions sampled from a variety of geographic origins, including cultivars and breeding lines, were characterized with 46 genome-wide SSR loci for genetic diversity and population structure. The genetic diversity within these accessions was examined using a genetic distance-based and a model-based clustering method. The model-based analysis identified an underlying population structure comprising of four distinct sub-populations which corresponded well with distance-based groupings. Information on the population structure is taken into account in an association mapping study of grain yield from a 3-years field trial incorporating fully irrigated, rainfed and drought stress treatments. A total of 21 marker-grain yield associations (P  lt  0.01) were identified with nine SSR markers. Most associations were detected only in one to three environments (treatment/year combination), with an average R (2) value around 13 %. However, marker gwm484 (on chromosome 2D) was associated with yield in six environments, including irrigated, rainfed and drought stress treatments, suggesting it could be used to improve grain yield across a range of environments. Variation in grain yield at this locus was associated with earliness, early vigour, kernels per spikelet and harvest index. Microsatellite locus psp3200 (on chromosome 6D) was associated with yield in dry and hot environments, which was related to earliness, early vigour, productive tillering and total biomass per plant. Partial least squares regression, with nine environmental factors, showed that precipitation from tillering to maturity was the main environmental factor causing marker x environment associations for grain yield.
PB  - Springer, Dordrecht
T2  - Genetica
T1  - Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments
VL  - 140
IS  - 4-6
SP  - 259
EP  - 275
DO  - 10.1007/s10709-012-9677-2
ER  - 
@article{
author = "Zorić, Miroslav and Kobiljski, Borislav and Dodig, Dejan and Quarrie, Steve and Barnes, Jeremy",
year = "2012",
abstract = "A set of 96 winter wheat accessions sampled from a variety of geographic origins, including cultivars and breeding lines, were characterized with 46 genome-wide SSR loci for genetic diversity and population structure. The genetic diversity within these accessions was examined using a genetic distance-based and a model-based clustering method. The model-based analysis identified an underlying population structure comprising of four distinct sub-populations which corresponded well with distance-based groupings. Information on the population structure is taken into account in an association mapping study of grain yield from a 3-years field trial incorporating fully irrigated, rainfed and drought stress treatments. A total of 21 marker-grain yield associations (P  lt  0.01) were identified with nine SSR markers. Most associations were detected only in one to three environments (treatment/year combination), with an average R (2) value around 13 %. However, marker gwm484 (on chromosome 2D) was associated with yield in six environments, including irrigated, rainfed and drought stress treatments, suggesting it could be used to improve grain yield across a range of environments. Variation in grain yield at this locus was associated with earliness, early vigour, kernels per spikelet and harvest index. Microsatellite locus psp3200 (on chromosome 6D) was associated with yield in dry and hot environments, which was related to earliness, early vigour, productive tillering and total biomass per plant. Partial least squares regression, with nine environmental factors, showed that precipitation from tillering to maturity was the main environmental factor causing marker x environment associations for grain yield.",
publisher = "Springer, Dordrecht",
journal = "Genetica",
title = "Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments",
volume = "140",
number = "4-6",
pages = "259-275",
doi = "10.1007/s10709-012-9677-2"
}
Zorić, M., Kobiljski, B., Dodig, D., Quarrie, S.,& Barnes, J.. (2012). Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments. in Genetica
Springer, Dordrecht., 140(4-6), 259-275.
https://doi.org/10.1007/s10709-012-9677-2
Zorić M, Kobiljski B, Dodig D, Quarrie S, Barnes J. Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments. in Genetica. 2012;140(4-6):259-275.
doi:10.1007/s10709-012-9677-2 .
Zorić, Miroslav, Kobiljski, Borislav, Dodig, Dejan, Quarrie, Steve, Barnes, Jeremy, "Population structure in a wheat core collection and genomic loci associated with yield under contrasting environments" in Genetica, 140, no. 4-6 (2012):259-275,
https://doi.org/10.1007/s10709-012-9677-2 . .
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Assessing drought tolerance and regional patterns of genetic diversity among spring and winter bread wheat using simple sequence repeats and phenotypic data

Dodig, Dejan; Zorić, Miroslav; Kobiljski, Borislav; Quarrie, Steve; Quarrie, Steve

(Csiro Publishing, Collingwood, 2010)

TY  - JOUR
AU  - Dodig, Dejan
AU  - Zorić, Miroslav
AU  - Kobiljski, Borislav
AU  - Quarrie, Steve
AU  - Quarrie, Steve
PY  - 2010
UR  - http://rik.mrizp.rs/handle/123456789/346
AB  - This study was conducted to assess drought tolerance and regional-based patterns of diversity of bread wheat accessions and to identify new sources of diversity that could accelerate the development of improved wheat varieties better suited to meeting the challenges posed by changing climate in Southern and Eastern Europe. For this, genetic diversity assessed by simple sequence repeats (SSR) markers was compared with diversity evaluated using 19 phenotypic traits averaged over irrigated and drought-stress field conditions. Thirty-six SSR were used to profile 96 wheat genotypes from the collection of genetic resources at the Institute of Field and Vegetable Crops, Novi Sad, Serbia. A total of 46 loci and 366 alleles were detected, with a range of 3-21 alleles per locus. The polymorphic information content was estimated to be 0.61. The genetic distance for all possible 4560 pairs of genotypes ranged from 0.06 to 0.91 with an average of 0.65. Genotypes were grouped according to their drought tolerance (high, medium, low) and region of origin. Analysis of molecular variance showed that over 96% of the total variation could be explained by the variance within the drought tolerance and geographical groups. As a whole, genetic diversity among the high drought tolerance genotypes was considerably higher than that among low drought tolerance genotypes. Comparative analysis of SSR diversity among six regional groups revealed that the genotypes from North America exhibited more genetic diversity than those from other regions. Two dendrograms were constructed based on phenotypic and molecular analyses using the Unweighted Pair Group Method with Arithmetic Mean method and were found to be topologically different. Genotypes characterised as highly drought tolerant were distributed among all SSR-based cluster groups. This implied that the genetic basis of drought tolerance in these genotypes was different, thereby enabling wheat breeders to combine these diverse sources of genetic variability to improve drought tolerance in their breeding programs.
PB  - Csiro Publishing, Collingwood
T2  - Crop & Pasture Science
T1  - Assessing drought tolerance and regional patterns of genetic diversity among spring and winter bread wheat using simple sequence repeats and phenotypic data
VL  - 61
IS  - 10
SP  - 812
EP  - 824
DO  - 10.1071/CP10001
ER  - 
@article{
author = "Dodig, Dejan and Zorić, Miroslav and Kobiljski, Borislav and Quarrie, Steve and Quarrie, Steve",
year = "2010",
abstract = "This study was conducted to assess drought tolerance and regional-based patterns of diversity of bread wheat accessions and to identify new sources of diversity that could accelerate the development of improved wheat varieties better suited to meeting the challenges posed by changing climate in Southern and Eastern Europe. For this, genetic diversity assessed by simple sequence repeats (SSR) markers was compared with diversity evaluated using 19 phenotypic traits averaged over irrigated and drought-stress field conditions. Thirty-six SSR were used to profile 96 wheat genotypes from the collection of genetic resources at the Institute of Field and Vegetable Crops, Novi Sad, Serbia. A total of 46 loci and 366 alleles were detected, with a range of 3-21 alleles per locus. The polymorphic information content was estimated to be 0.61. The genetic distance for all possible 4560 pairs of genotypes ranged from 0.06 to 0.91 with an average of 0.65. Genotypes were grouped according to their drought tolerance (high, medium, low) and region of origin. Analysis of molecular variance showed that over 96% of the total variation could be explained by the variance within the drought tolerance and geographical groups. As a whole, genetic diversity among the high drought tolerance genotypes was considerably higher than that among low drought tolerance genotypes. Comparative analysis of SSR diversity among six regional groups revealed that the genotypes from North America exhibited more genetic diversity than those from other regions. Two dendrograms were constructed based on phenotypic and molecular analyses using the Unweighted Pair Group Method with Arithmetic Mean method and were found to be topologically different. Genotypes characterised as highly drought tolerant were distributed among all SSR-based cluster groups. This implied that the genetic basis of drought tolerance in these genotypes was different, thereby enabling wheat breeders to combine these diverse sources of genetic variability to improve drought tolerance in their breeding programs.",
publisher = "Csiro Publishing, Collingwood",
journal = "Crop & Pasture Science",
title = "Assessing drought tolerance and regional patterns of genetic diversity among spring and winter bread wheat using simple sequence repeats and phenotypic data",
volume = "61",
number = "10",
pages = "812-824",
doi = "10.1071/CP10001"
}
Dodig, D., Zorić, M., Kobiljski, B., Quarrie, S.,& Quarrie, S.. (2010). Assessing drought tolerance and regional patterns of genetic diversity among spring and winter bread wheat using simple sequence repeats and phenotypic data. in Crop & Pasture Science
Csiro Publishing, Collingwood., 61(10), 812-824.
https://doi.org/10.1071/CP10001
Dodig D, Zorić M, Kobiljski B, Quarrie S, Quarrie S. Assessing drought tolerance and regional patterns of genetic diversity among spring and winter bread wheat using simple sequence repeats and phenotypic data. in Crop & Pasture Science. 2010;61(10):812-824.
doi:10.1071/CP10001 .
Dodig, Dejan, Zorić, Miroslav, Kobiljski, Borislav, Quarrie, Steve, Quarrie, Steve, "Assessing drought tolerance and regional patterns of genetic diversity among spring and winter bread wheat using simple sequence repeats and phenotypic data" in Crop & Pasture Science, 61, no. 10 (2010):812-824,
https://doi.org/10.1071/CP10001 . .
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