Czech J. Genet. Plant Breed., 2019, 55(2):83-86 | DOI: 10.17221/186/2017-CJGPB

Multivariate characteristics of selected grass varieties for seed productionShort Communication

Marzena Iwańska*,1, Danuta Martyniak2, Marcin Martyniak3, Dariusz Gozdowski1
1 Department of Experimental Design and Bioinformatics, Faculty of Agriculture and Biology, Warsaw University of Life Sciences, Warsaw, Poland
2 Department of Grasses, Legumes and Energy Plants, Plant Breeding and Acclimatization Institute, Radzików, Błonie, Poland
3 Faculty of Management, University of Warsaw, Warsaw, Poland$2

Data were obtained in a field experiment carried out at Plant Breeding and Acclimatization Institute Radzikow (central Poland) in 2009-2011. The aim of this study was a multivariate evaluation of 13 advanced lines and cultivars of Festuca rubra, taking into account traits important in seed production. Eleven traits of the grasses and plant resistance to diseases were evaluated. On the basis of multivariate analyses, i.e. hierarchical cluster analysis and principal component analysis, groups of varieties were separated and described, relationships between the traits were evaluated as well. The traits with the biggest influence on multivariate diversity of examined varieties were correlated with the first principal component i.e. height of plants, seeds yield, growth rate of plants, leaf width and time to beginning of earing.

Keywords: Festuca rubra; multivariate analysis; principal component analysis

Published: June 30, 2019  Show citation

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Iwańska M, Martyniak D, Martyniak M, Gozdowski D. Multivariate characteristics of selected grass varieties for seed production. Czech J. Genet. Plant Breed. 2019;55(2):83-86. doi: 10.17221/186/2017-CJGPB.
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References

  1. Domański P. (1992): Turf grass varieties testing and assessment system in Poland. Biuletyn IHAR, 183: 251-263. (in Polish)
  2. Domański P., Martyniak J., Pojedyniec M. (1979): Methodical Instructions for Conducting Experiments with Varieties of Grasses. COBORU, Słupia Wielka: 22-33. (in Polish)
  3. Johnson R.C., Johnston W.J., Golob C.T., Nelson M.C., Soreng R.J. (2002): Characterization of the USDA Poa pratensis collection using RAPD markers and agronomic descriptors. Genetic Resources and Crop Evolution, 49: 351-363. Go to original source...
  4. Majidi M.M., Mirlohi A. (2010): Genetic similarities among Iranian populations of Festuca, Lolium, Bromus and Agropyron using amplified fragments length polymorphism (AFLP) markers. Iranian Journal of Biotechnology, 8: 16-23.
  5. Mefti M., Bouzerzour H., Francia E., Ulrici A., Abdelguerfi A., Barre P., Pecchioni N. (2016): Agronomic and molecular evaluation of cocksfoot and tall fescue cultivars for adaptation to an Algerian drought-prone environment. Euphytica, 212: 371-386. Go to original source...
  6. Mian M.A.R., Saha M.C., Hopkins A.A., Wang Z.Y. (2005): Use of tall fescue EST-SSR markers in phylogenetic analysis of cool-season forage grasses. Genome, 48: 637-647. Go to original source... Go to PubMed...
  7. Prończuk S. (1993): Turf grass assessment system in Poland. Biuletyn IHAR, 186: 127-132. (in Polish)
  8. Veronesi F., Falcinelli M. (1988): Evaluation of an Italian germplasm collection of Festuca arundinacea Schreb. through a multivariate analysis. Euphytica, 28: 211-220. Go to original source...
  9. Charmet G., Balfourier F., Monestiez P. (1994): Hierarchical clustering of perennial ryegrass populations with geographic contiguity constraint. Theoretical and Applied Genetics, 88: 42-48. Go to original source... Go to PubMed...

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