One- and multivariable characteristics of spring barley (Hordeum vulgare L.) cultivars breed at the Nagradowice Plant Breeding Station of the Poznańska Hodowla Roślin, studied in experiments in 2017-2018
Dariusz Mańkowski
d.mankowski@ihar.edu.plPlant Breeding and Acclimatization Institute - National Research Institute (Poland)
https://orcid.org/0000-0002-7499-8016
Dorota Jasińska
Poznańska Hodowla Roślin Sp. z o. o. Plant Breeding Station Nagrodowice, Poland. (Poland)
Magdalena Anioła
Poznańska Hodowla Roślin Sp. z o. o. Plant Breeding Station Nagrodowice, Poland. (Poland)
Tadeusz Śmiałowski
Plant Breeding and Acclimatization Institute – National Research Institute, Radzików, Poland. Department of Seed Science and Seed Technology, Laboratory of Seed Production and Plant Breeding Economics. (Poland)
Monika Janaszek-Mańkowska
Warsaw University of Life Sciences, Warsaw, Poland. Department of Engineering (Poland)
Wioletta M. Dynkowska
Plant Breeding and Acclimatization Institute – National Research Institute, Radzików, Poland. Department of Biochemistry and Plant Physiology (Poland)
Abstract
The aim of this study was to evaluate the yield variability of spring barley families grown at the Nagradowice Plant Breeding Station of Poznan Plant Breeding against other families studied in years 2017‒2018 in Team Breeding Experiments. Research material included 250 spring barley families cultivated in 2017 and 2018 in 6 locations. Selection of spring barley families for preliminary experiments was based on synthesis of results obtained in inter-plant experiments established in 2016 and 2017 in 5 locations. Combined (due to location) analysis of variance for experimental data was performed for each year and each series of experiments separately. Best Weighted Linear Unbiased Estimators (BWLUE) for the effects of individual sources of variation were included in ANOVA model. Significant effect of location on mean yield was observed in each research year and each series of experiments. Crucial differences were also observed between tested varieties and breeding lines. Moreover, significant interaction between locations and varieties or breeding families was also observed. Self-organising map (SOM) was applied to develop multivariable characteristic of tested families and cultivars of spring barley. Analyses results, i.e. ranking of BWLUE effects as well as SOM segmentation revealed seven breading lines from Breeding Station Nagradowice, which may be considered for further breeding process.
Keywords:
spring barley, breeding experiments, yielding, BWLUE, SOMReferences
Andersson, A.A.M., Lampi, A-M., Nyström, L., Piironen, V., Li, Li., Ward, J., Gebruers, K., Courtin, C.M., Delcour, J.A., Boros, D., Fraś, A., Dynkowska, W., Rakszegi, M., Bedo, Z., Shewry, P.R., Åman, P. (2008). Phytochemical and fibre components in barley varieties in the HEALTHGRAIN diversity screen. J. Agric. Food Chem., 56, 9767‒9776.
Google Scholar
Boros, D., Rek-Ciepły, B., Cyran, M. (1996). A note on the composition and nutritional value of hulless barley. J. Anim. Feed Sci., 5, 417‒424.
Google Scholar
Boros, D., Fraś, A., Gołębiewska, K., Gołębiewski, D., Paczkowska, O., Wiśniewska, M. (2015). Nutritional value and health-promoting properties of grains of cereal and rape seed varieties recommended for cultivation in Poland. Monographs and Scientific Dissertations PBAI-NRI, 49, Radzików, Poland. (in polish)
Google Scholar
COBORU (2019). Polish National List of Agricultural Plants Varieties. COBORU, Słupia Wielka, Poland.
Google Scholar
Cyran, M., Izydorczyk, M., MacGregor, W. (2002). Structural characteristics of water-extractable nonstarch polysaccharides from barley malt. Cereal Chem., 79, 359‒366.
Google Scholar
FAO (2018). World Food and Agriculture – Statistical Pocketbook 2018; FAO: Rome, Italy.
Google Scholar
Gołębiewski, D., Kamińska, B., Burek, J., Boros, D. (2014). Influence of the genotype and locality on the features determining the brewing value of grains of new spring barley lines. Biuletyn IHAR, 274, 3‒14. (in polish)
Google Scholar
Gołębiewski, D., Myszka, K., Fraś, A., Boros, D., Burek, J., Mańkowski, D. (2013). Genotypic and environmental diversity of characteristics of the brewing value of barley spring clones from pre-registration experience of 2012. Biuletyn IHAR, 268, 47‒58. (in polish)
Google Scholar
Grochowicz, J., Dominik, P., Fabisiak, A. (2017). Possibilities of using natural food as an effect of the global trend in the demand for pro-health food. Zeszyty Naukowe UW, 54 (3), 223‒240. (in polish)
Google Scholar
Grzywa, M., Śmiałowski, T. (2002). Application of translocation to the localization of short-chain genomes in the barley Delisa mutant. Biuletyn IHAR, 221, 57‒67. (in polish)
Google Scholar
Janaszek, M.A., Trajer, J. (2011). Method of evaluating diversity of carrot roots using a self-organizing map and image data. Computers and Electronics in Agriculture, Vol. 79, Issue 1, 75–81.
Google Scholar
Kohonen, T. (1982). Self-organized formation of topologically correct feature maps. Biological Cybernetics, Vol. 48, Issue: 1, 59‒69.
Google Scholar
Lasek, M., Myzik, A. (2012). Kohonen's neural networks in data analysis. An attempt to use data in the exploration of territorial units. Problemy Zarządzania, 3 (38), vol. 10: 124‒147. (in polish)
Google Scholar
Laudański, Z. (1996). Application of projection operators in analysing non-orthogonal data – theory, algorithms and examples. Wydawnictwo SGGW, Warsaw, Poland. (in polish)
Google Scholar
Mańkowski, D.R. (2013). Structural equations models SEM in agricultural research. Monographs and Scientific Dissertations PBAI-NRI, 42, Radzików, Poland. (in polish)
Google Scholar
Mańkowski, D.R., Śmiałowski, T., Laudański, Z., Janaszek-Mańkowska, M. (2014). Application of cultivar scoring for incomplete data (case study: field experiment with × Triticosecale Witt.). In: Laudański, Z., Mańkowski, D.R. (Eds.), International Conference — The 44th International Biometrical Colloquium and IV Polish-Portuguese Workshop on Biometry – Conference Papers. IHAR-PIB, Radzików, p. 39.
Google Scholar
Marquardt, R.R., Boros, D., Guenter, W., Crow, G. (1994). The nutritive value of barley, rye, wheat and corn for young chicks as affected by use of a Trichoderma reesei enzyme preparation. Anim. Feed Sci. Technol., 45, 363‒378.
Google Scholar
Nadolska-Orczyk, A., Rajchel, I.K., Orczyk, W., Gasparis, S. (2017). Major genes determining yield-related traits in wheat and barley. Theor Appl Genet, 130, 1081‒1098.
Google Scholar
Ploch, M., Cyran, M., Kasztelowicz, K., Boros, D., Burek, J. (2005). Variability and interdependence of malting barley quality characteristics from the 2004 collection. Biuletyn IHAR, 235, 155‒162. (in polish)
Google Scholar
Sakellariou, M., Mylona, P. (2020). New Uses for Traditional Crops: The Case of Barley Biofortification. Agronomy, 10 (12), 1964.
Google Scholar
Śmiałowski, T., Cieplicka, A., Mańkowski, D.R. (2017). One- and multivariable characterization of spring barley (Hordeum vulgare L.) cultivars grown in Smolice Plant Breeding and tested in field breeding experiments in 2016. Biuletyn IHAR, 282, 63–78. (in polish)
Google Scholar
Tadeusiewicz, R. (2001). Introduction to neural networks. StatSoft Polska, Cracow, Poland. (in polish)
Google Scholar
TIBCO Software Inc., (2017). Statistica (data analysis software system), version 13, http://statistica.io
Google Scholar
Trajer, J., Świderski, A. (2009). Using cluster analysis for examining carrot varieties diversity. Annals of Warsaw University of Life Sciences – SGGW, Agriculture, 54, 71—76.
Google Scholar
Tricase, C., Amicarelli, V., Lamonaca, E., Leonardo Rana, R. (2018). Economic Analysis of the Barley Market and Related Uses. In: Grasses as Food and Feed. IntechOpen, London, UK.
Google Scholar
Vesanto, J., (2000). Using SOM in Data Mining. Helsinki University of Technology, Espoo, Finland.
Google Scholar
Węgrzyn, S., Grzywa, M., Śmiałowski, T. (2002). Evaluation of the combinational capacity of varieties and strains of spring barley for yield and resistance to powdery mildew. Biuletyn IHAR, 221, 45‒55. (in polish)
Google Scholar
Wirkijowska, A., Rzedzicki, Z., Sobota, A., Sykut-Domańska, E., Zarzycki, P., Bartoszek, K., Kuzawińska, E. (2016). Barley in human nutrition. Polish Journal of Agronomy, 25, 41–50. (in polish)
Google Scholar
Wiśniewska, M., Boros, D., Zych, J. (2020). Nutritional value of selected mixtures of spring cereals with legumes. Biuletyn IHAR, 289, 51–62. (in polish)
Google Scholar
Wójcik, A.R., Laudański, Z. (1989). Planning and statistical inference in experiments. PWN, Warsaw, Poland. (in polish)
Google Scholar
Authors
Dariusz Mańkowskid.mankowski@ihar.edu.pl
Plant Breeding and Acclimatization Institute - National Research Institute Poland
https://orcid.org/0000-0002-7499-8016
Authors
Dorota JasińskaPoznańska Hodowla Roślin Sp. z o. o. Plant Breeding Station Nagrodowice, Poland. Poland
Authors
Magdalena AniołaPoznańska Hodowla Roślin Sp. z o. o. Plant Breeding Station Nagrodowice, Poland. Poland
Authors
Tadeusz ŚmiałowskiPlant Breeding and Acclimatization Institute – National Research Institute, Radzików, Poland. Department of Seed Science and Seed Technology, Laboratory of Seed Production and Plant Breeding Economics. Poland
Authors
Monika Janaszek-MańkowskaWarsaw University of Life Sciences, Warsaw, Poland. Department of Engineering Poland
Authors
Wioletta M. DynkowskaPlant Breeding and Acclimatization Institute – National Research Institute, Radzików, Poland. Department of Biochemistry and Plant Physiology Poland
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