EVALUATING ECONOMIC VALUE OF 23 STRAWBERRY CULTIVARS IN THE CLIMATIC CONDITIONS OF CENTRAL EUROPE

Justyna Wójcik-Seliga

Research Institute of Horticulture, Skierniewice, Poland

Marcin Studnicki

Department of Experimental Design and Bioinformatics, Warsaw University of Life Sciences – SGGW, Warsaw, Poland

Elżbieta Wójcik-Gront

Department of Experimental Design and Bioinformatics, Warsaw University of Life Sciences – SGGW, Warsaw, Poland



Abstract

 Aim of the project was to test 23 strawberry cultivars in the climate of Poland and evaluate their economic value. 13 of discussed cultivars were newly bread in Poland and 10 are of foreign origin including cultivars that were never tested in East–Central Europe. All of these cultivars were evaluated in comparison to the 4 standard cultivars used in Poland. The experiment was conducted between 2004 and 2011 in central Poland in the Research Institute of Horticulture in Skierniewice. The data were analyzed using linear mixed model. The results shows that cultivar ‘Paladyn’ performed exceptionally well regarding yield and fruit size. Thus, it is one of the best cultivars for including into canon strawberry cultivars, not only in Poland.
The rest of tested cultivars, especially those with foreign origin, may need specific treatment or more investigation to accomplish more in the climatic conditions of this geographical region.

Keywords:

strawberry yield, fruit size, harvest, adaptive response, linear mixed model

Ames, B.M., Shigena, M.K., Hagen, T.M. (1993). Oxidants, antioxidants, and the degenerative diseases of aging. P. Natl. Acad. Sci. USA, 90, 7915–7922.
CPVO (2012). The Community Plant Variety Office. Protocol for distinctness, uniformity and stability tests Fragaria L. Strawberry 2012.
Crossa, J., Burgueño, J., Cornelius, P.L., McLaren, G., Trethowan, R., Krishnamachari, A. (2006). Modeling genotype × environment interaction using additive genetic covariances of relatives for predicting breeding values of wheat genotypes. Crop Sci., 46, 1722–1733.
Emrich, K., Wilde, F., Miedaner, T., Piepho, H.P. (2008). REML approach for adjusting the Fusarium head blight rating to a phenological date in inoculated selection experiments of wheat. Theor. Appl. Genet., 117, 65–73.
Federer, W.T. (1956). Augmented (or hoonuiaku) designs. Hawai. Plant. Rec., 2, 191–208.
Federer, W.T., Reynolds, M., Crossa, J. (2001). Combining results from augmented designs over sites. Agron. J., 93, 389–395.
Gilmour, A.R., Gogel, B.J., Cullis, B.R., Thompson, R. (2009). ASReml User Guide Release 3.0. VSN International Ltd, Hemel Hempstead, UK.
GUS (2013). Central Statistical Office. Statistical yearbook of agriculture. Warsaw.
Harris, D.C., Yang, J.R. (1996). The relationship between the amount of Verticillium dahliae in soil and the incidence of strawberry wilt as a basis for disease risk prediction. Plant Pathol., 45, 106–114.
Heinonen, I.M., Meyer, A.S., Frankel, E.N. (1998). Antioxidant activity of berry phenolics on human lowdensity lipoprotein and liposome oxidation. J. Agr. Food. Chem., 46, 4107–4112.
Masny, A., Żurawicz, E. (2010). Productive value of new foreign strawberry cultivars evaluated in 2007–2010. J. Fruit Ornam. Plant Res., 18(2), 273–282.
Masny, A., Żurawicz, E., Pruski, K., Mądry, W. (2014). Combining Ability analysis in 10 strawberry genotypes used in breeding cultivars for tolerance to Verticillium Wilt. J. Am. Soc. Hortic. Sci., 139(3), 275–281.
Piepho, H.P. (2000). Multiple treatment comparisons in linear models when the standard error of a difference is not constant. Biometr. J., 42, 823–835.
Piepho, H.P. (2004). An algorithm for a letter-based representation of all-pairwise comparisons. J. Comp. Graph. Stat., 13, 456–466.
Piepho, H.P., Möhring, J. (2006). Selection in cultivar trials: Is it ignorable? Crop Sci., 46, 192–201.
Pluta, S., Mądry, W., Sieczko, L. (2012). Phenotypic diversity for agronomic traits in a collection of blackcurrant (Ribes nigrum L.) cultivars evaluated in Poland. Sci. Hort. Amsterdam, 145, 136–144.
Pluta, S., Żurawicz, E., Studnicki, M., Mądry, W. (2014). Combining ability analysis for selected plant traits in gooseberry J. Am. Soc. Hortic. Sci., 139(3), 325–335.
Roudeillac, P., Trajkowski, K. (2004). Breeding for fruit quality and nutrition in strawberries. Acta Hort., 649, 55–60.
Rozpara, E. (2008). Growth and field of eleven sweet cherry cultivars in Central Poland. Acta Hort., 795, 2571.
Smith, A.B., Cullis, B.R., Thompson, R. (2001). Analyzing variety by environment data using multiplicative mixed models and adjustments for spatial field trend. Biometrics, 57, 1138–1147.
Smith, A.B., Cullis, B.R., Thompson, R. (2005). The analysis of crop cultivar breeding and evaluation trials: an overview of current mixed model approaches. J. Agr. Sci., 143, 1–14.
So, Y., Edwards, J. (2009). A comparison of mixed–model analyses of the Iowa Crop Performance Test for corn. Crop Sci., 49, 1593–1601.
StatSoft, Inc. (2011). STATISTICA data analysis software system, version 10.
Wilhelm, S. (1955). Longevity of the verticillium wilt fungus in the laboratory and field. Phytopathology, 45, 180–181.
Wójcik-Seliga, J., Wójcik-Gront, E. (2013). Evaluation of blackberry and hybrid berry cultivars new to Polish climate – short communication. Hortic. Sci. (Prague), 40, 88–91.
You, F.M., Duguid, S.D., Thambugala, D., Cloutier, S. (2013). Statistical analysis and field evaluation of the type 2 modified augmented design (MAD) in phenotyping of flax (Linum usitatissimum) germplasms in multiple environments. Aust. J. Crop Sci., 7, 1789–1800.
Żurawicz, E., Masny, A. (2002). New strawberry cultivars from the breeding project of Research Institute of Pomology and Floriculturae (RIPF) Skierniewice, Poland. Acta Hortic., 567, 179–181.
Download

Published
2017-04-30



Justyna Wójcik-Seliga 
Research Institute of Horticulture, Skierniewice, Poland
Marcin Studnicki 
Department of Experimental Design and Bioinformatics, Warsaw University of Life Sciences – SGGW, Warsaw, Poland
Elżbieta Wójcik-Gront 
Department of Experimental Design and Bioinformatics, Warsaw University of Life Sciences – SGGW, Warsaw, Poland



License

 

Articles are made available under the conditions CC BY 4.0 (until 2020 under the conditions CC BY-NC-ND 4.0).
Submission of the paper implies that it has not been published previously, that it is not under consideration for publication elsewhere.

The author signs a statement of the originality of the work, the contribution of individuals, and source of funding.