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Dive into the research topics where Lenka Petrovičová is active.

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Featured researches published by Lenka Petrovičová.


Potravinarstvo | 2016

Start codon targeted (scot) polymorphism reveals genetic diversity in european old maize (zea mays l.) Genotypes

Martin Vivodík; Zdenka Gálová; Želmíra Balážová; Lenka Petrovičová

Maize ( Zea mays L.) is one of the worlds most important crop plants following wheat and rice, which provides staple food to large number of human population in the world. It is cultivated in a wider range of environments than wheat and rice because of its greater adaptability. Molecular characterization is frequently used by maize breeders as an alternative method for selecting more promising genotypes and reducing the cost and time needed to develop hybrid combinations. In the present investigation 40 genotypes of maize from Czechoslovakia, Hungary, Poland, Union of Soviet Socialist Republics, Slovakia and Yugoslavia were analysed using 20 Start codon targeted (SCoT) markers. These primers produced total 114 fragments across 40 maize genotypes, of which 86 (76.43%) were polymorphic with an average of 4.30 polymorphic fragments per primer and number of amplified fragments ranged from 2 (SCoT 45) to 8 (SCoT 28 and SCoT 63). The polymorphic information content (PIC) value ranged from 0.374 (ScoT 45) to 0.846 (SCoT 28) with an average of 0.739. The dendrogram based on hierarchical cluster analysis using UPGMA algorithm was prepared. The hierarchical cluster analysis showed that the maize genotypes were divided into two main clusters. Unique maize genotype (cluster 1), Zuta Brzica, originating from Yugoslavia separated from others. Cluster 2 was divided into two main clusters (2a and 2b). Subcluster 2a contained one Yugoslavian genotype Juhoslavanska and subcluster 2b was divided in two subclusters 2ba and 2bb. The present study shows effectiveness of employing SCoT markers in analysis of maize, and would be useful for further studies in population genetics, conservation genetics and genotypes improvement.


Potravinarstvo | 2016

Molecular characterization of rye cultivars.

Želmíra Balážová; Lenka Petrovičová; Zdenka Gálová; Martin Vivodík

14.00 The results of molecular analysis of 45 rye taxa ( Secale cereale L.) represented by agricultural varieties originated from Central Europe and the Union of Soviet Socialist Republics (SUN) are presented. The genetic diversity of rye cultivars by 6 SSR markers was evaluated. Six specific microsatellite primer pairs produced 58 polymorphic alleles with an average of 9.7 alleles per locus. The number of alleles ranged from 6 ( SCM2 ) to 14 ( SCM86 ). Genetic polymorphism was characterized based on diversity index (DI), probability of identity (PI) and polymorphic information content (PIC). The diversity index (DI) of SSR markers ranged from 0.5478 ( SCM2 ) to 0.887 ( SCM86 ) with an average of 0.778. The lowest value of polymorphic information content was recorded for SCM2 (0.484) and the highest value for SCM86 (0.885) of PIC was detected in SCM86 with an average of 0.760.The dendrogram of genetic similarity was constructed, based on UPGMA algorithm. The hierarchical cluster analysis divided rye genotypes into 4 main clusters. The first cluster of 14 genotypes was subdivided in two subclusters (1a and 1b) where 50% of genotypes were Czechoslovak origin. The second cluster contained four genotypes were three (75%) of them had Czech or Czechoslovak origin. In the third subcluster separated three rye genotypes of different origin. The rest (24) of rye genotypes in the fourth cluster were divided into two subclusters (4a and 4b) where clearly separated group of Polish (4aa) and Czech and Czechoslovak (4ab) genotypes. Two genotypes of 4aa subcluster (Wojcieszyckie and Dankowskie Nowe) from Poland were genetically the closest. In the dendrogram alle genotypes were differentiated and clustering partially reflects geographic origin of studied rye genotypes. In this experiment, SSRs markers proved to be a high informative and usefull tool in genetic diversity research for the distinguishing and characterization of close related varieties. Normal 0 21 false false false CS JA X-NONE


Journal of Applied Animal Research | 2015

The effect of diluent, temperature and age on turkey spermatozoa motility in vitro

Tomáš Slanina; Lenka Petrovičová; Michal Miškeje; Lubomír Kňížat; Juraj Mirda; Norbert Lukáč; Jozef Trandžík; Ida Petrovičová; Peter Massanyi

The aim of this study was to evaluate the turkey spermatozoa motility in in vitro conditions and to prove the effect of different conditions of incubation – diluents, temperature and age of birds. Spermatozoa were obtained from adult turkeys line of Big 6, and spermatozoa motility parameters were evaluated using a computer-assisted semen analyzer (CASA) system. Significant decrease of spermatozoa motility at laboratory temperature (22°C) was detected from time 0 (94.15%) till 180 minutes of incubation (53.91%). At the cool media incubation (5°C), this difference was lower (95.41 and 78.86%, respectively), and the differences were significant from 30 minutes of incubation till 180 minutes. Progressive spermatozoa motility replicated the tendency of total spermatozoa motility. When the physiological solution to commercial diluent at 5°C was compared, the spermatozoa motility and progressive motility in both groups were very consistent for 90 minutes of incubation. Subsequently, significantly higher spermatozoa motility was detected at time periods 120, 150 and 180 minutes of incubation in commercial diluent. Motility was also higher in this group after 24 hours. Influence of age on spermatozoa motility parameters was analysed at 22°C at the time 0 and after 30 minutes of incubation. Analysis of spermatozoa motility as well as progressive spermatozoa motility proved higher values in Group A (aged 35–42 weeks) compared to Group B (aged 63–73 weeks). These results clearly suggest that low temperature and commercial diluents maintain motility parameters during longer time periods and the increasing age of birds has negative impact on motility parameters.


Potravinarstvo | 2018

Study of polymorphism of maize using dna and protein markers

Martin Vivodík; Želmíra Balážová; Zdenka Gálová; Lenka Petrovičová

In the present investigation 40 genotypes of maize from Czechoslovakia, Hungary, Poland, Union of Soviet Socialist Republics, Slovakia and Yugoslavia were analysed using 20 start codon targeted (SCoT) markers, 10 simple sequence repeat (SSR) markers, 13 random amplified polymorphic (RAPD) markers and using SDS-PAGE markers. Twenty SCoT primers produced 114 DNA fragments with an average of 5.7 bands per primer. Out of the total of 114 amplified fragments, 86 (76.43 %) were polymorphic, with an average of 4.30 polymorphic bands per primer. Ten SSR primers revealed a total of 65 alleles ranging from 4 (UMC1060) to 8 (UMC2002 and UMC1155) alleles per locus with a mean value of 6.50 alleles per locus. 20 SCoT primers produced total 114 fragments across 40 maize genotypes, of which 86 (76.43 %) were polymorphic with an average of 4.30 polymorphic fragments per primer and number of amplified fragments ranged from 2 (SCoT 45) to 8 (SCoT 28 and SCoT 63). The number of total scorable protein bands was twentythree as a result of SDS-PAGE technique but those that were not cosistent in reproducibility and showed occasional variation in sharpness and density were not considered. Based on these bands forty accessions of maize were screened. Out of twentythree polypeptide bands, 6 (31%) were commonly present in all accessions and considered as monomorphic, while 17 (65%) showed variations and considered as polymorphic. The dendrogram of 40 old maize genotypes based on SSR, SCoT, RAPD and SDS-PAGE markers using UGMA algorithm was constructed.


Potravinarstvo | 2018

Characterization of Tunisian castor bean genotypes using SDS-PAGE of total seed storage proteins

Martin Vivodík; Ezzeddine Saadaoui; Zdenka Gálová; Želmíra Balážová; Lenka Petrovičová

Due to the chemical and physical properties of castor oil ( Ricinus communis L.) that make it a valuable raw material for numerous industrial applications, including the production of biofuel, interest to develop more and better varieties has been increased. The objectives of this work, were to find out the level of genetic variability present in 56 Tunisian castor germplasm by using the electrophoretic profiles of total seed proteins with different molecular weights through SDS-PAGE. Fifty-six castor ( Ricinus communis L.) genotypes were used in the present study. Seeds of castor were obtained from the University of Carthage, National Institute of Research in Rural Engineering, Waters and Forests (INRGREF), Regional Station of Gabes, Tunisia. Storage proteins were extracted from individual grains by the standard reference electrophoretic method by ISTA in the presence of sodium dodecyl sulfate (SDS-PAGE). The number of total scorable protein bands was twentynine as a result of SDS-PAGE technique but those that were not cosistent in reproducibility and showed occasional variation in sharpness and density were not considered. Out of twentynine polypeptide bands, 5 (18%) were commonly present in all accessions and considered as monomorphic, while 24 (82%) showed variations and considered as polymorphic. The size of the protein bands obtained through SDS-PAGE ranged from 30 to 180 kDa. On the basis of banding profiles of proteins of different kDa, gel was divided into zones A, B and C. The major protein bands were lied in zones A and B, while minor bands were present in zones C. The dendrogram tree demonstrated the relationship among the 56 Tunisian castor genotypes according to the similarity index, using UPGMA cluster analysis. The dendrogram was divided into three main clusters. Similarly the present study of genetic variability in the seed storage polypeptide determined by SDS-PAGE technique proved that it is fruitful to identify genetic diversity among accessions of castor.


Potravinarstvo | 2018

Genetic diversity and population structure in tunisian castor genotypes (Ricinus communis L.) Detected using scot markers

Martin Vivodík; Ezzeddine Saadaoui; Želmíra Balážová; Zdenka Gálová; Lenka Petrovičová

Due to the chemical and physical properties of castor oil ( Ricinus communis L.) that make it a valuable raw material for numerous industrial applications, including the production of biofuel, interest to develop more and better varieties has been increased. In the present study, the representatives of the genus castor collected from 12 different parts of Tunisia were differentiated by the DNA fingerprinting patterns using 37 SCoT primers. PCR amplification of DNA using 37 primers for SCoT analysis produced 268 DNA fragments that could be scored in all 56 genotypes of Tunisian castor. The number of amplified fragments varied from 4 (SCoT 45, SCoT 31 and ScoT 17) to 10 (SCoT 3, SCoT 11, SCoT 14, SCoT 18 and SCoT 12). Of the 268 amplified bands 230 were polymorphic, with an average of 6.22 polymorphic bands per primer. To determine the level of polymorphism in the analysed group of Tunisian castor genotypes polymorphic information content (PIC) was calculated. The lowest values of polymorphic information content were recorded for SCoT 17 (0.411) and the the highest PIC values were detected for SCoT 14 (0.868) with an average of 0.751. A dendrogram was constructed from a genetic distance matrix based on profiles of the 37 SCoT primers using the unweighted pair-group method with the arithmetic average (UPGMA). According to analysis, the collection of 56 Tunisian castor genotypes were clustered into two main clusters (1 and 2). Of the 56 genotypes of Tunisian castor, 2 unique genotypes were separated (BA-5 and K-4). Genetically the closest were two genotypes from Tunisian region Souassi (S-2 and S-5) in subclaster 2bc. Results showed the utility of SCoT markers for estimation of genetic diversity of castor genotypes leading to genotype identification.


Journal of Central European Agriculture | 2018

Comparison of nutritional and technological quality of winter wheat (Triticum aestivum L.) and hybrid wheat (Triticum aestivum L. x Triticum spelta L.)

Dana Rajnincová; Zdenka Gálová; Lenka Petrovičová; Milan Chňapek

Wheat is one of the most important food crop in the world. Gluten proteins represent major protein fraction of the grain and are responsible for unique properties of the dough. The aim of this study was to analyze one genotype of the winter wheat (Triticum aestivum L.) and one genotype of hybrid wheat (Triticum aestivum L. x Triticum spelta L.) based on protein polymorphism and to compare their nutritional and technological quality. According to Kjeldahl and Golenkov, content of total nitrogen and protein fraction composition of analyzed samples were determined. Higher content of albumins and globulins (26.39%) was detected in hybrid wheat genotype PS Lubica with total nitrogen 2.02% and crude protein content 11.49%. Winter wheat genotype Elinor showed higher content of prolamins and glutelins (70.68%) and higher coefficient of nutritional quality (91.79%) than analyzed hybrid wheat. Higher total content of amino acids was determined in hybrid wheat genotype PS Lubica (122.02 mg*g-1 dry weight). For the separation of glutenin protein subunits, SDS-PAGE method by ISTA was used. On the basis of molecular weight, glutenins were separated in SDS-PAGE into HMW-GS (Elinor 10.7%; PS Lubica 3.78%) and LMW-GS (Elinor 58.4%; PS Lubica 67.28%). Electrophoretic profile of genotype Elinor was 0, 7+9, 5+10 with Glu Score 7 and composition of HMW-GS in genotype PS Lubica was 0, 20, 2+12 with Glu Score 4. According to the results, better nutritional and technological quality was proved in winter wheat genotype Elinor. According to identical results in 5 biological replicates, hybrid wheat genotype PS Lubica was not recommended for bread-making.


Potravinarstvo | 2017

Genetic variation of european maize genotypes (zea mays l.) Detected using ssr markers

Martin Vivodík; Zdenka Gálová; Želmíra Balážová; Lenka Petrovičová

The SSR molecular markers were used to assess genetic diversity in 40 old European maize genotypes. Ten SSR primers revealed a total of 65 alleles ranging from 4 (UMC1060) to 8 (UMC2002 and UMC1155) alleles per locus with a mean value of 6.50 alleles per locus. The PIC values ranged from 0.713 (UMC1060) to 0.842 (UMC2002) with an average value of 0.810 and the DI value ranged from 0.734 (UMC1060) to 0.848 (UMC2002) with an average value of 0.819. 100% of used SSR markers had PIC and DI values higher than 0.7 that means high polymorphism of chosen markers used for analysis. Probability of identity (PI) was low ranged from 0.004 (UMC1072) to 0.022 (UMC1060) with an average of 0.008. A dendrogram was constructed from a genetic distance matrix based on profiles of the 10 maize SSR loci using the unweighted pair-group method with the arithmetic average (UPGMA). According to analysis, the collection of 40 diverse accessions of maize was clustered into four clusters. The first cluster contained nine genotypes of maize, while the second cluster contained the four genotypes of maize. The third cluster contained 5 maize genotypes. Cluster 4 contained five genotypes from Hungary (22.73%), two genotypes from Poland (9.10%), seven genotypes of maize from Union of Soviet Socialist Republics (31.81%), six genotypes from Czechoslovakia (27.27%), one genotype from Slovak Republic (4.55%) and one genotype of maize is from Yugoslavia (4.55%). We could not distinguish 4 maize genotypes grouped in cluster 4, (Voroneskaja and Kocovska Skora) and 2 Hungarian maize genotypes - Feheres Sarga Filleres and Mindszentpusztai Feher, which are genetically the closest.


Potravinarstvo | 2017

Detection genetic variability of secale cereale L. by scot markers

Lenka Petrovičová; Želmíra Balážová; Martin Vivodík; Zdenka Gálová

Rye (Secale cereale L.) is our traditional cereal used for baking. The genetic variability of grown rye has been reduced by modern agronomic practices, which subsequently prompted the importance of search for species that could be useful as a gene pool for the improving of flour quality for human consumption or for other industrial uses. Therefore, the aim of this study was to detect genetic variability among the set of 45 rye genotypes using 8 SCoT markers. Amplification of genomic DNA of 45 genotypes, using SCoT analysis, yielded 114 fragments, with an average of 14.25 polymorphic fragments per primer. The most polymorphic primer was SCoT 36, where 21 polymorphic amplification products were detected. In contract the lowest polymorphic primer was SCoT 45 with 5 polymorphic products. Genetic polymorphism was characterized based on diversity index (DI), probability of identity (PI) and polymorphic information content (PIC). The hierarchical cluster analysis showed that the rye genotypes were divided into 2 main clusters. One rye genotype Motto, origin from Poland formed a separate subcluster (1b). Subscluster 2a included only genotype Valticke (CSK). In this experiment, SCoT proved to be a rapid, reliable and practicable method for revealing of polymorphism in the rye cultivars. Normal 0 21 false false false EN-GB X-NONE X-NONE


Archive | 2017

Characterization Of Slovak Castor Genotypes (Ricinus Communis L.) Using Molecular Markers

Martin Vivodík; Lenka Petrovičová; Želmíra Balážová; Zdenka Gálová

The aim of this work was to detect genetic variability among the set of 30 castor genotypes using 6 RAPD markers. Amplification of genomic DNA of 30 genotypes, using RAPD analysis, yielded 42 fragments, with an average of 7.00 polymorphic fragments per primer. Number of amplified fragments ranged from 5 to 9, with the size of amplicons ranging from 100 to 1,200 bp. The polymorphic information content (PIC) value ranged from 0.662 to 0.855 with an average of 0.780 and diversity index (DI) value ranged from 0.669 to 0.857 with an average of 0.785. The dendrogram based on hierarchical cluster analysis using UPGMA algorithm was prepared. Knowledge on the genetic diversity of castor can be used for future breeding programs for increased oil production to meet the ever increasing demand of castor oil for industrial uses as well as for biodiesel production.

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Zdenka Gálová

Slovak University of Agriculture

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Martin Vivodík

Slovak University of Agriculture

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Milan Chňapek

Slovak University of Agriculture

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Peter Massanyi

Slovak University of Agriculture

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Tomáš Slanina

Slovak University of Agriculture

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Dana Miháliková

Slovak University of Agriculture

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Michal Miškeje

Slovak University of Agriculture

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Norbert Lukáč

Slovak University of Agriculture

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