Multivariate characteristics of selected grass varieties for seed production

Marzena Iwańska, Danuta Martyniak, Marcin Martyniak and Dariusz Gozdowski
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Marzena Iwańska: Department of Experimental Design and Bioinformatics, Faculty of Agriculture and Biology, Warsaw University of Life Sciences, Warsaw, Poland
Danuta Martyniak: Department of Grasses, Legumes and Energy Plants, Plant Breeding and Acclimatization Institute, Radzików, Błonie, Poland
Marcin Martyniak: Faculty of Management, University of Warsaw, Warsaw, Poland$2
Dariusz Gozdowski: Department of Experimental Design and Bioinformatics, Faculty of Agriculture and Biology, Warsaw University of Life Sciences, Warsaw, Poland

Czech Journal of Genetics and Plant Breeding, 2019, vol. 55, issue 2, 83-86

Abstract: 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 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlcjg:v:55:y:2019:i:2:id:186-2017-cjgpb

DOI: 10.17221/186/2017-CJGPB

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