TY  - CONF
AU  - Marjanović-Jeromela, Ana
AU  - Jankulovska, Mirjana
AU  - Kuzmanovska, Biljana
AU  - Ivanovska, Sonja
AU  - Jocković, Milan
AU  - Balalić, Igor
AU  - Rajković, Dragana
PY  - 2023
UR  - http://fiver.ifvcns.rs/handle/123456789/3753
AB  - Rapeseed (Brassica napus L.) is the most important oilseed crop in Europe and the second in the world. Rapeseed breeders are continuously creating cultivars and hybrids with the main goal to combine high yield, oil content and quality traits. Thus, it is imperative to assess the created germplasm and to distinguish the most promising genotypes. The objective of this study was to determine the genetic variability of 45 spring rapeseed hybrids in order to effectively select those with a combination of high seed and oil yield and other desirable traits, by using multivariate statistical methods.
C3  - Book of Abstracts, 16th International Rapeseed Congress (IRC): Global Crop - Golden Opportunities, Sidney, 24-27 September 2023
T1  - Genetic variability of spring rapeseed hybrids based on quantitative traits
EP  - 233
SP  - 233
UR  - https://hdl.handle.net/21.15107/rcub_fiver_3753
ER  - 

@conference{
author = "Marjanović-Jeromela, Ana and Jankulovska, Mirjana and Kuzmanovska, Biljana and Ivanovska, Sonja and Jocković, Milan and Balalić, Igor and Rajković, Dragana",
year = "2023",
abstract = "Rapeseed (Brassica napus L.) is the most important oilseed crop in Europe and the second in the world. Rapeseed breeders are continuously creating cultivars and hybrids with the main goal to combine high yield, oil content and quality traits. Thus, it is imperative to assess the created germplasm and to distinguish the most promising genotypes. The objective of this study was to determine the genetic variability of 45 spring rapeseed hybrids in order to effectively select those with a combination of high seed and oil yield and other desirable traits, by using multivariate statistical methods.",
journal = "Book of Abstracts, 16th International Rapeseed Congress (IRC): Global Crop - Golden Opportunities, Sidney, 24-27 September 2023",
title = "Genetic variability of spring rapeseed hybrids based on quantitative traits",
pages = "233-233",
url = "https://hdl.handle.net/21.15107/rcub_fiver_3753"
}

Marjanović-Jeromela, A., Jankulovska, M., Kuzmanovska, B., Ivanovska, S., Jocković, M., Balalić, I.,& Rajković, D.. (2023). Genetic variability of spring rapeseed hybrids based on quantitative traits. in Book of Abstracts, 16th International Rapeseed Congress (IRC): Global Crop - Golden Opportunities, Sidney, 24-27 September 2023, 233-233.
https://hdl.handle.net/21.15107/rcub_fiver_3753

Marjanović-Jeromela A, Jankulovska M, Kuzmanovska B, Ivanovska S, Jocković M, Balalić I, Rajković D. Genetic variability of spring rapeseed hybrids based on quantitative traits. in Book of Abstracts, 16th International Rapeseed Congress (IRC): Global Crop - Golden Opportunities, Sidney, 24-27 September 2023. 2023;:233-233.
https://hdl.handle.net/21.15107/rcub_fiver_3753 .

Marjanović-Jeromela, Ana, Jankulovska, Mirjana, Kuzmanovska, Biljana, Ivanovska, Sonja, Jocković, Milan, Balalić, Igor, Rajković, Dragana, "Genetic variability of spring rapeseed hybrids based on quantitative traits" in Book of Abstracts, 16th International Rapeseed Congress (IRC): Global Crop - Golden Opportunities, Sidney, 24-27 September 2023 (2023):233-233,
https://hdl.handle.net/21.15107/rcub_fiver_3753 .

TY  - JOUR
AU  - Jankulovska, Mirjana
AU  - Ivanovska, Sonja
AU  - Marjanović-Jeromela, Ana
AU  - Miladinović, Dragana
AU  - Kuzmanovska, Biljana
AU  - Rajković, Dragana
PY  - 2020
UR  - http://fiver.ifvcns.rs/handle/123456789/2038
AB  - In rapeseed, there is a constant need for increasing its genetic diversity, particularly through breeding of hybrid varieties in order to produce genotypes with improved seed yield, as well as other important agronomic traits. However, to create commercial hybrids, the knowledge of the genetic diversity of the parents is prerequisite, considering that the hybrid's performance greatly depends on the choice of parental lines. There is a lack of information about using the genetic distance to determine the extent of heterosis in spring rapeseed in Europe. The goals of this research were to determine the genetic variability of rapeseed breeding material for important agricultural traits, to analyse the differences in grouping of the parental genotypes based on their genetic distances determined by morphological traits and molecular markers and to estimate the correlation of the differently established parental genetic distances with hybrid performance, heterosis, general combining ability of both parents and specific combining ability in crosses. This will provide novel information for parental selection in order to develop a better approach for prediction of heterosis in spring rapeseed hybrid breeding program. The field trial included ten spring rapeseed genotypes that were crossed in a half diallel fashion thus making 45 hybrid combinations. Distances between parents were calculated based on data from 14 analysed phenotypic traits and 64 SSR markers. The obtained results showed that the parental genetic distance based on phenotypic traits was better in predicting heterosis and combining ability in comparison with the distance estimated by SSR analysis. Although the obtained results revealed that the genetic distance based on molecular markers had no correlation with mid-parent and high-parent heterosis, further studies are needed with a larger number and different types of markers to draw the final conclusion.
PB  - Društvo genetičara Srbije, Beograd
T2  - Genetika-Belgrade
T1  - Predicting heterosis and f1 performance in spring rapeseed (brassica napus l.): genetic distance based on molecular or phenotypic data?
EP  - 672
IS  - 2
SP  - 661
VL  - 52
DO  - 10.2298/GENSR2002661J
ER  - 

@article{
author = "Jankulovska, Mirjana and Ivanovska, Sonja and Marjanović-Jeromela, Ana and Miladinović, Dragana and Kuzmanovska, Biljana and Rajković, Dragana",
year = "2020",
abstract = "In rapeseed, there is a constant need for increasing its genetic diversity, particularly through breeding of hybrid varieties in order to produce genotypes with improved seed yield, as well as other important agronomic traits. However, to create commercial hybrids, the knowledge of the genetic diversity of the parents is prerequisite, considering that the hybrid's performance greatly depends on the choice of parental lines. There is a lack of information about using the genetic distance to determine the extent of heterosis in spring rapeseed in Europe. The goals of this research were to determine the genetic variability of rapeseed breeding material for important agricultural traits, to analyse the differences in grouping of the parental genotypes based on their genetic distances determined by morphological traits and molecular markers and to estimate the correlation of the differently established parental genetic distances with hybrid performance, heterosis, general combining ability of both parents and specific combining ability in crosses. This will provide novel information for parental selection in order to develop a better approach for prediction of heterosis in spring rapeseed hybrid breeding program. The field trial included ten spring rapeseed genotypes that were crossed in a half diallel fashion thus making 45 hybrid combinations. Distances between parents were calculated based on data from 14 analysed phenotypic traits and 64 SSR markers. The obtained results showed that the parental genetic distance based on phenotypic traits was better in predicting heterosis and combining ability in comparison with the distance estimated by SSR analysis. Although the obtained results revealed that the genetic distance based on molecular markers had no correlation with mid-parent and high-parent heterosis, further studies are needed with a larger number and different types of markers to draw the final conclusion.",
publisher = "Društvo genetičara Srbije, Beograd",
journal = "Genetika-Belgrade",
title = "Predicting heterosis and f1 performance in spring rapeseed (brassica napus l.): genetic distance based on molecular or phenotypic data?",
pages = "672-661",
number = "2",
volume = "52",
doi = "10.2298/GENSR2002661J"
}

Jankulovska, M., Ivanovska, S., Marjanović-Jeromela, A., Miladinović, D., Kuzmanovska, B.,& Rajković, D.. (2020). Predicting heterosis and f1 performance in spring rapeseed (brassica napus l.): genetic distance based on molecular or phenotypic data?. in Genetika-Belgrade
Društvo genetičara Srbije, Beograd., 52(2), 661-672.
https://doi.org/10.2298/GENSR2002661J

Jankulovska M, Ivanovska S, Marjanović-Jeromela A, Miladinović D, Kuzmanovska B, Rajković D. Predicting heterosis and f1 performance in spring rapeseed (brassica napus l.): genetic distance based on molecular or phenotypic data?. in Genetika-Belgrade. 2020;52(2):661-672.
doi:10.2298/GENSR2002661J .

Jankulovska, Mirjana, Ivanovska, Sonja, Marjanović-Jeromela, Ana, Miladinović, Dragana, Kuzmanovska, Biljana, Rajković, Dragana, "Predicting heterosis and f1 performance in spring rapeseed (brassica napus l.): genetic distance based on molecular or phenotypic data?" in Genetika-Belgrade, 52, no. 2 (2020):661-672,
https://doi.org/10.2298/GENSR2002661J . .

TY  - JOUR
AU  - Jankulovska, Mirjana
AU  - Ivanovska, Sonja
AU  - Marjanović-Jeromela, Ana
AU  - Bolarić, Snjezana
AU  - Jankuloski, Ljupčo
AU  - Dimov, Zoran
AU  - Bosev, Dane
AU  - Kuzmanovska, Biljana
PY  - 2014
UR  - http://fiver.ifvcns.rs/handle/123456789/1310
AB  - In this study, the use of different multivariate approaches to classify rapeseed genotypes based on quantitative traits has been presented. Tree regression analysis, PCA analysis and two-way cluster analysis were applied in order todescribe and understand the extent of genetic variability in spring rapeseed genotype by trait data. The traits which highly influenced seed and oil yield in rapeseed were successfully identified by the tree regression analysis. Principal predictor for both response variables was number of pods per plant (NP). NP and 1000 seed weight could help in the selection of high yielding genotypes. High values for both traits and oil content could lead to high oil yielding genotypes. These traits may serve as indirect selection criteria and can lead to improvement of seed and oil yield in rapeseed. Quantitative traits that explained most of the variability in the studied germplasm were classified using principal component analysis. In this data set, five PCs were identified, out of which the first three PCs explained 63% of the total variance. It helped in facilitating the choice of variables based on which the genotypes' clustering could be performed. The two-way cluster analysissimultaneously clustered genotypes and quantitative traits. The final number of clusters was determined using bootstrapping technique. This approach provided clear overview on the variability of the analyzed genotypes. The genotypes that have similar performance regarding the traits included in this study can be easily detected on the heatmap. Genotypes grouped in the clusters 1 and 8 had high values for seed and oil yield, and relatively short vegetative growth duration period and those in cluster 9, combined moderate to low values for vegetative growth duration and moderate to high seed and oil yield. These genotypes should be further exploited and implemented in the rapeseed breeding program. The combined application of these multivariate methods can assist in deciding how, and based on which traits to select the genotypes, especially in early generations, at the beginning of a breeding program.
PB  - Društvo genetičara Srbije, Beograd
T2  - Genetika-Belgrade
T1  - Multivariate analysis of quantitative traits can effectively classify rapeseed germplasm
EP  - 559
IS  - 2
SP  - 545
VL  - 46
DO  - 10.2298/GENSR1402545J
ER  - 

@article{
author = "Jankulovska, Mirjana and Ivanovska, Sonja and Marjanović-Jeromela, Ana and Bolarić, Snjezana and Jankuloski, Ljupčo and Dimov, Zoran and Bosev, Dane and Kuzmanovska, Biljana",
year = "2014",
abstract = "In this study, the use of different multivariate approaches to classify rapeseed genotypes based on quantitative traits has been presented. Tree regression analysis, PCA analysis and two-way cluster analysis were applied in order todescribe and understand the extent of genetic variability in spring rapeseed genotype by trait data. The traits which highly influenced seed and oil yield in rapeseed were successfully identified by the tree regression analysis. Principal predictor for both response variables was number of pods per plant (NP). NP and 1000 seed weight could help in the selection of high yielding genotypes. High values for both traits and oil content could lead to high oil yielding genotypes. These traits may serve as indirect selection criteria and can lead to improvement of seed and oil yield in rapeseed. Quantitative traits that explained most of the variability in the studied germplasm were classified using principal component analysis. In this data set, five PCs were identified, out of which the first three PCs explained 63% of the total variance. It helped in facilitating the choice of variables based on which the genotypes' clustering could be performed. The two-way cluster analysissimultaneously clustered genotypes and quantitative traits. The final number of clusters was determined using bootstrapping technique. This approach provided clear overview on the variability of the analyzed genotypes. The genotypes that have similar performance regarding the traits included in this study can be easily detected on the heatmap. Genotypes grouped in the clusters 1 and 8 had high values for seed and oil yield, and relatively short vegetative growth duration period and those in cluster 9, combined moderate to low values for vegetative growth duration and moderate to high seed and oil yield. These genotypes should be further exploited and implemented in the rapeseed breeding program. The combined application of these multivariate methods can assist in deciding how, and based on which traits to select the genotypes, especially in early generations, at the beginning of a breeding program.",
publisher = "Društvo genetičara Srbije, Beograd",
journal = "Genetika-Belgrade",
title = "Multivariate analysis of quantitative traits can effectively classify rapeseed germplasm",
pages = "559-545",
number = "2",
volume = "46",
doi = "10.2298/GENSR1402545J"
}

Jankulovska, M., Ivanovska, S., Marjanović-Jeromela, A., Bolarić, S., Jankuloski, L., Dimov, Z., Bosev, D.,& Kuzmanovska, B.. (2014). Multivariate analysis of quantitative traits can effectively classify rapeseed germplasm. in Genetika-Belgrade
Društvo genetičara Srbije, Beograd., 46(2), 545-559.
https://doi.org/10.2298/GENSR1402545J

Jankulovska M, Ivanovska S, Marjanović-Jeromela A, Bolarić S, Jankuloski L, Dimov Z, Bosev D, Kuzmanovska B. Multivariate analysis of quantitative traits can effectively classify rapeseed germplasm. in Genetika-Belgrade. 2014;46(2):545-559.
doi:10.2298/GENSR1402545J .

Jankulovska, Mirjana, Ivanovska, Sonja, Marjanović-Jeromela, Ana, Bolarić, Snjezana, Jankuloski, Ljupčo, Dimov, Zoran, Bosev, Dane, Kuzmanovska, Biljana, "Multivariate analysis of quantitative traits can effectively classify rapeseed germplasm" in Genetika-Belgrade, 46, no. 2 (2014):545-559,
https://doi.org/10.2298/GENSR1402545J . .